--- title: Analytics url: https://platform.claude.com/docs/en/api/typescript/beta/organization/analytics --- # Analytics ## Domain types ### Beta Analytics Artifact Activity - `interface BetaAnalyticsArtifactActivity` Artifact-creation activity for one (`artifact_type`, `is_shared`) bucket on a given day. Artifacts form a small finite cube — the canonical MIME type (8 values incl. `other`) crossed with shared-vs-private — so the response is the full set of non-empty buckets, not a ranked/paginated list. Claude Code and Cowork artifacts report under `text/html` and are counted from 2026-08-17 onward; earlier days contain claude.ai chat artifacts only. With `group_by[]=product` / `user_id` / `rbac_group_id` each row is further split by the flat group keys and counts are scoped to that cut. - `artifact_type: string` Canonical artifact MIME type (e.g. `text/markdown`, `application/vnd.ant.react`, `image/svg+xml`), or `other`. Claude Code and Cowork artifacts report as `text/html`. - `artifacts_created_count: number` Number of artifacts created in this bucket on the requested day - `distinct_user_count: number` Number of distinct users who created artifacts in this bucket on the requested day - `is_shared: boolean` Whether the artifacts in this bucket have ever been shared (a Claude Code / Cowork artifact is shared once anyone beyond its creator may open it: named members, the whole organization, or anyone with the link). - `published_artifacts_created_count: number` Number of those artifacts that have been published (for Claude Code / Cowork artifacts: open to anyone with the link); never exceeds `artifacts_created_count` - `product?: string | null` Product that produced this row's activity: one of `chat`, `claude_code`, `cowork`, `office_agent`, or `chat_cowork_unified` (Chat and Cowork unified). These are the canonical Cost & Usage product names; an `office_agent` row's per-surface breakdown is in its `office_metrics`. On `/plugins` only `cowork`, `claude_code` and `chat_cowork_unified` occur (the only surfaces with plugin attribution); on `/artifacts` only `chat`, `claude_code`, `cowork` and `chat_cowork_unified` occur (the surfaces that create artifacts); `/apps/chat/projects` does not support the product dimension (a `product` entry in `group_by[]` or `filter[]` there is rejected). Present only when the request grouped by `product`. - `rbac_group_id?: string | null` Tagged RBAC group identifier (`rbac_group_...`), matching the spend-limits API spelling. Present only when the request grouped by `rbac_group_id`. - `rbac_group_name?: string | null` Resolved RBAC group display name, alongside `rbac_group_id` when name resolution is available. Null if the group has been deleted or its name could not be resolved; `rbac_group_id` remains the stable key. - `user_id?: string | null` Tagged user identifier (e.g. `user_...`). Present only when the request grouped by `user_id`. ### Beta Analytics Chat Cowork Unified Chat Metrics - `interface BetaAnalyticsChatCoworkUnifiedChatMetrics` Chat activity recorded while members had Chat and Cowork unified turned on. - `connectors_used_count: number` Same measure as `chat_metrics.connectors_used_count`, for activity recorded while members had Chat and Cowork unified turned on. - `distinct_artifacts_created_count: number` Same measure as `chat_metrics.distinct_artifacts_created_count`, for activity recorded while members had Chat and Cowork unified turned on. Exact in date-range mode: a creation belongs to exactly one day, so the per-day counts never overlap and their sum over the window is the exact count of distinct creations in it. - `distinct_connectors_used_count: number | null` Same measure as `chat_metrics.distinct_connectors_used_count`, for activity recorded while members had Chat and Cowork unified turned on. Approximate (HLL, typical error <2%) in date-range mode. Null on aggregated rows where a distinct count cannot be computed. - `distinct_conversation_count: number | null` Same measure as `chat_metrics.distinct_conversation_count`, for activity recorded while members had Chat and Cowork unified turned on. Approximate (HLL, typical error <2%) in date-range mode. Null on aggregated rows where a distinct count cannot be computed. - `distinct_files_uploaded_count: number | null` Same measure as `chat_metrics.distinct_files_uploaded_count`, for activity recorded while members had Chat and Cowork unified turned on. It counts uploaded files as well as files Claude created and images returned by Claude's tools, such as screenshots. Approximate (HLL, typical error <2%) in date-range mode. Null on aggregated rows where a distinct count cannot be computed. - `distinct_projects_created_count: number` Same measure as `chat_metrics.distinct_projects_created_count`, for activity recorded while members had Chat and Cowork unified turned on. Exact in date-range mode: a creation belongs to exactly one day, so the per-day counts never overlap and their sum over the window is the exact count of distinct creations in it. - `distinct_projects_used_count: number | null` Same measure as `chat_metrics.distinct_projects_used_count`, for activity recorded while members had Chat and Cowork unified turned on. Approximate (HLL, typical error <2%) in date-range mode. Null on aggregated rows where a distinct count cannot be computed. - `distinct_shared_artifacts_viewed_count: number | null` Always null: shared-artifact views are not currently measured. - `distinct_skills_used_count: number | null` Same measure as `chat_metrics.distinct_skills_used_count`, for activity recorded while members had Chat and Cowork unified turned on. Approximate (HLL, typical error <2%) in date-range mode. Null on aggregated rows where a distinct count cannot be computed. - `message_count: number` Same measure as `chat_metrics.message_count`, for activity recorded while members had Chat and Cowork unified turned on. - `shared_conversations_viewed_count: number` Same measure as `chat_metrics.shared_conversations_viewed_count`, for activity recorded while members had Chat and Cowork unified turned on. - `thinking_message_count: number` Same measure as `chat_metrics.thinking_message_count`, for activity recorded while members had Chat and Cowork unified turned on. ### Beta Analytics Chat Cowork Unified Sessions Metrics - `interface BetaAnalyticsChatCoworkUnifiedSessionsMetrics` Cowork session activity recorded while members had Chat and Cowork unified turned on. - `action_count: number` Same measure as `cowork_metrics.action_count`, for activity recorded while members had Chat and Cowork unified turned on. - `artifacts_created_count: number` Same measure as `cowork_metrics.artifacts_created_count`, for activity recorded while members had Chat and Cowork unified turned on. Exact in date-range mode: a creation belongs to exactly one day, so the per-day counts never overlap and their sum over the window is the exact count of distinct creations in it. - `connectors_used_count: number` Same measure as `cowork_metrics.connectors_used_count`, for activity recorded while members had Chat and Cowork unified turned on. - `dispatch_turn_count: number` Same measure as `cowork_metrics.dispatch_turn_count`, for activity recorded while members had Chat and Cowork unified turned on. - `distinct_connectors_used_count: number | null` Same measure as `cowork_metrics.distinct_connectors_used_count`, for activity recorded while members had Chat and Cowork unified turned on. Approximate (HLL, typical error <2%) in date-range mode. Null on aggregated rows where a distinct count cannot be computed. - `distinct_plugins_used_count: number | null` Same measure as `cowork_metrics.distinct_plugins_used_count`, for activity recorded while members had Chat and Cowork unified turned on. Approximate (HLL, typical error <2%) in date-range mode. Null on aggregated rows where a distinct count cannot be computed. - `distinct_session_count: number | null` Same measure as `cowork_metrics.distinct_session_count`, for activity recorded while members had Chat and Cowork unified turned on. Approximate (HLL, typical error <2%) in date-range mode. Null on aggregated rows where a distinct count cannot be computed. - `distinct_skills_used_count: number | null` Same measure as `cowork_metrics.distinct_skills_used_count`, for activity recorded while members had Chat and Cowork unified turned on. Approximate (HLL, typical error <2%) in date-range mode. Null on aggregated rows where a distinct count cannot be computed. - `edit_tool_count: number | null` Same measure as `cowork_metrics.edit_tool_count`, for activity recorded while members had Chat and Cowork unified turned on. - `file_edit_count: number | null` Same measure as `cowork_metrics.file_edit_count`, for activity recorded while members had Chat and Cowork unified turned on. - `message_count: number` Same measure as `cowork_metrics.message_count`, for activity recorded while members had Chat and Cowork unified turned on. - `multi_edit_tool_count: number | null` Same measure as `cowork_metrics.multi_edit_tool_count`, for activity recorded while members had Chat and Cowork unified turned on. Claude no longer has a multi-edit tool, so expect 0 when not null; each edit is now a separate Edit tool call, counted in `edit_tool_count` and `file_edit_count`. - `notebook_edit_tool_count: number | null` Same measure as `cowork_metrics.notebook_edit_tool_count`, for activity recorded while members had Chat and Cowork unified turned on. - `plugins_used_count: number | null` Same measure as `cowork_metrics.plugins_used_count`, for activity recorded while members had Chat and Cowork unified turned on. - `sessions_with_file_edits_count: number | null` Same measure as `cowork_metrics.sessions_with_file_edits_count`, for activity recorded while members had Chat and Cowork unified turned on. Approximate (HLL, typical error <2%) in date-range mode. Null on aggregated rows where a distinct count cannot be computed. - `skills_used_count: number` Same measure as `cowork_metrics.skills_used_count`, for activity recorded while members had Chat and Cowork unified turned on. - `write_tool_count: number | null` Same measure as `cowork_metrics.write_tool_count`, for activity recorded while members had Chat and Cowork unified turned on. ### Beta Analytics Chat Metrics - `interface BetaAnalyticsChatMetrics` Claude.ai activity metrics for a single user on a given day. - `connectors_used_count: number` Number of MCP connector invocations. - `distinct_artifacts_created_count: number` Number of distinct artifacts created. Exact in date-range mode: a creation belongs to exactly one day, so the per-day counts never overlap and their sum over the window is the exact count of distinct creations in it. - `distinct_connectors_used_count: number | null` Distinct claude.ai connectors this user used. Excludes calls whose connector could not be identified and all calls from organizations with zero data retention. Approximate (HLL, typical error <2%) in date-range mode. Null on aggregated rows where a distinct count cannot be computed. - `distinct_conversation_count: number | null` Number of distinct conversations the user participated in. Approximate (HLL, typical error <2%) in date-range mode. Null on aggregated rows where a distinct count cannot be computed. - `distinct_files_uploaded_count: number | null` Number of distinct files uploaded. Approximate (HLL, typical error <2%) in date-range mode. Null on aggregated rows where a distinct count cannot be computed. - `distinct_projects_created_count: number` Number of distinct projects created. Exact in date-range mode: a creation belongs to exactly one day, so the per-day counts never overlap and their sum over the window is the exact count of distinct creations in it. - `distinct_projects_used_count: number | null` Number of distinct projects used. Approximate (HLL, typical error <2%) in date-range mode. Null on aggregated rows where a distinct count cannot be computed. - `distinct_shared_artifacts_viewed_count: number | null` Number of distinct shared artifacts the user viewed. Approximate (HLL, typical error <2%) in date-range mode. Null on aggregated rows where a distinct count cannot be computed. - `distinct_skills_used_count: number | null` Number of distinct skills used. Approximate (HLL, typical error <2%) in date-range mode. Null on aggregated rows where a distinct count cannot be computed. - `message_count: number` Number of messages sent - `shared_conversations_viewed_count: number` Number of times the user opened a shared conversation in a project - `thinking_message_count: number` Number of messages that used extended thinking ### Beta Analytics Claude Code Metrics - `interface BetaAnalyticsClaudeCodeMetrics` Claude Code activity metrics for a single user on a given day. - `core_metrics: BetaAnalyticsCoreCodeMetrics` Core Claude Code activity metrics for a single user on a given day. - `artifacts_created_count: number` Number of artifacts created in Claude Code sessions: an artifact counts once, on the day a session first saves it. Counted from 2026-08-17; 0 on earlier days. Exact in date-range mode: a creation belongs to exactly one day, so the per-day counts never overlap and their sum over the window is the exact count of distinct creations in it. - `commit_count: number` Number of commits made via Claude Code - `distinct_session_count: number | null` Number of distinct Claude Code sessions. On aggregated rows and in date-range mode: summed per-day distinct counts. A session essentially never spans a UTC day, so the sum is in practice the true distinct count. - `lines_of_code: BetaAnalyticsLinesOfCode` Lines of code added and removed via Claude Code. - `added_count: number` Lines of code added - `removed_count: number` Lines of code removed - `pull_request_count: number` Number of pull requests created via Claude Code - `tool_actions: BetaAnalyticsToolActions` Per-tool accepted/rejected counts for Claude Code file modification tools. - `edit_tool: BetaAnalyticsToolActionCounts` Accepted/rejected counts for a single Claude Code tool type. - `accepted_count: number` Number of tool proposals accepted - `rejected_count: number` Number of tool proposals rejected - `multi_edit_tool: BetaAnalyticsToolActionCounts` Accepted/rejected counts for a single Claude Code tool type. - `notebook_edit_tool: BetaAnalyticsToolActionCounts` Accepted/rejected counts for a single Claude Code tool type. - `write_tool: BetaAnalyticsToolActionCounts` Accepted/rejected counts for a single Claude Code tool type. ### Beta Analytics Claude Tag Category - `type BetaAnalyticsClaudeTagCategory = "dm" | "engaged" | "monitoring" | 2 more` - `"dm"` - `"engaged"` - `"monitoring"` - `"proactive"` - `"scheduled"` ### Beta Analytics Connector Activity - `interface BetaAnalyticsConnectorActivity` Per-connector activity data for a given day. - `chat_metrics: BetaAnalyticsConnectorChatMetrics` Claude.ai activity metrics for a single connector on a given day. - `distinct_conversation_connector_used_count: number | null` Number of distinct conversations in which the connector was used. Approximate (HLL, typical error <2%) in date-range mode. Null on aggregated rows where a distinct count cannot be computed. - `claude_code_metrics: BetaAnalyticsConnectorClaudeCodeMetrics` Claude Code activity metrics for a single connector on a given day. - `distinct_session_connector_used_count: number | null` Number of distinct Claude Code sessions in which the connector was used. Approximate (HLL, typical error <2%) in date-range mode. Null on aggregated rows where a distinct count cannot be computed. - `connector_name: string` Name of the connector. Some rows carry an opaque connector id here instead of a readable name; `connector_display_name` holds the resolved name for those rows. - `cowork_metrics: BetaAnalyticsConnectorCoworkMetrics` Cowork activity metrics for a single connector on a given day. - `distinct_session_connector_used_count: number | null` Number of distinct Cowork sessions in which the connector was used. Approximate (HLL, typical error <2%) in date-range mode. Null on aggregated rows where a distinct count cannot be computed. - `distinct_user_count: number` Number of distinct users who used the connector on the requested day, or, in date-range mode, over the requested window — recomputed as an exact distinct count over the window's per-member daily rows, never a sum of per-day values. - `office_metrics: BetaAnalyticsConnectorOfficeMetrics` Office Agent activity metrics for a single connector on a given day, broken out by Office product. - `excel: BetaAnalyticsConnectorOfficeProductMetrics` Office Agent activity metrics for a single connector on a given day within one Office product. - `distinct_session_connector_used_count: number | null` Number of distinct Office Agent sessions in which the connector was used. Approximate (HLL, typical error <2%) in date-range mode. Null on aggregated rows where a distinct count cannot be computed. - `outlook: BetaAnalyticsConnectorOfficeProductMetrics` Office Agent activity metrics for a single connector on a given day within one Office product. - `powerpoint: BetaAnalyticsConnectorOfficeProductMetrics` Office Agent activity metrics for a single connector on a given day within one Office product. - `word: BetaAnalyticsConnectorOfficeProductMetrics` Office Agent activity metrics for a single connector on a given day within one Office product. - `chat_cowork_unified_metrics?: ChatCoworkUnifiedMetrics | null` Connector use recorded while members had Chat and Cowork unified (Cowork's features inside claude.ai chat) turned on, split into chat conversations and Cowork sessions. A count is null in date-range mode where it cannot be computed. Omitted from the response on deployments that do not offer Chat and Cowork unified. - `chat: BetaAnalyticsConnectorChatCoworkUnifiedChatMetrics` A connector's use in chat conversations recorded while members had Chat and Cowork unified turned on. - `distinct_conversation_connector_used_count: number | null` Same measure as `chat_metrics.distinct_conversation_connector_used_count`, for activity recorded while members had Chat and Cowork unified turned on. Approximate (HLL, typical error <2%) in date-range mode. Null on aggregated rows where a distinct count cannot be computed. - `sessions: BetaAnalyticsConnectorChatCoworkUnifiedSessionsMetrics` A connector's use in Cowork sessions recorded while members had Chat and Cowork unified turned on. - `distinct_session_connector_used_count: number | null` Same measure as `cowork_metrics.distinct_session_connector_used_count`, for activity recorded while members had Chat and Cowork unified turned on. Approximate (HLL, typical error <2%) in date-range mode. Null on aggregated rows where a distinct count cannot be computed. - `connector_display_name?: string | null` Human-readable display name for rows whose `connector_name` is an opaque connector id rather than a readable name, resolved at request time from the organization's connectors (including connectors that have since been removed). `connector_name` remains the row's stable key for sorting and pagination, and `filter[]=connector_name:{value}` also matches these rows by display name. Display names are not unique, and the same connector's claude.ai usage can appear under a separate row with a readable `connector_name`. Null when `connector_name` is already a readable name, when the id cannot be resolved to one of the organization's connectors, or when display-name resolution is not enabled for this organization. - `individual_auth_distinct_user_count?: number | null` Number of distinct users whose use of this connector on the requested day ran on their own individual credential, connected through their own consent flow. Companion bucket to `managed_auth_distinct_user_count`, which carries the measurement, attribution, and null rules. Users whose requests used no stored credential count in neither bucket. - `managed_auth_distinct_user_count?: number | null` Number of distinct users whose use of this connector on the requested day ran on Enterprise Managed Auth (an organization-managed credential provisioned through the organization's identity provider), read from the token record each request used. Null, never 0, when managed-auth reporting is not enabled for the organization, the value cannot be attributed to the row, no credentialed requests and no managed-token mint events (a managed credential being provisioned for a user's use of the connector) were observed that day, or the day predates 2026-07-01, the first day the backing data exists (forward-only data, no backfill). When credentialed requests or mint events were observed and attributed, both managed-auth fields populate, reporting 0 for a bucket with no users; the two counts are independent, not a partition — a user whose requests that day used both kinds of credential counts in both. Mint events carry user but not surface attribution, so they count as observed auth activity on `user_id` and `rbac_group_id` cuts — attributed to the user the credential was provisioned for — but never on a cut that references `product` (group or filter). Date-range rollup mode (`starting_date`/`ending_date`) computes both fields exactly over the window — distinct users with at least one qualifying day — when the whole window starts on or after 2026-07-01, with the null-versus-0 and mint-event rules applying with the window in place of the day; a range starting earlier reports every managed-auth field as null, never a partial-window value. - `product?: string | null` Product that produced this row's activity: one of `chat`, `claude_code`, `cowork`, `office_agent`, or `chat_cowork_unified` (Chat and Cowork unified). These are the canonical Cost & Usage product names; an `office_agent` row's per-surface breakdown is in its `office_metrics`. On `/plugins` only `cowork`, `claude_code` and `chat_cowork_unified` occur (the only surfaces with plugin attribution); on `/artifacts` only `chat`, `claude_code`, `cowork` and `chat_cowork_unified` occur (the surfaces that create artifacts); `/apps/chat/projects` does not support the product dimension (a `product` entry in `group_by[]` or `filter[]` there is rejected). Present only when the request grouped by `product`. - `rbac_group_id?: string | null` Tagged RBAC group identifier (`rbac_group_...`), matching the spend-limits API spelling. Present only when the request grouped by `rbac_group_id`. - `rbac_group_name?: string | null` Resolved RBAC group display name, alongside `rbac_group_id` when name resolution is available. Null if the group has been deleted or its name could not be resolved; `rbac_group_id` remains the stable key. - `read_call_count?: number | null` Number of connector tool calls on the requested day whose trusted read-only annotation marked them read-only. Call count, not distinct users. Every call recorded on a classified surface lands in exactly one of `read_call_count`, `write_call_count`, or `unclassified_call_count`, so the three sum to the day's classified calls. Classification is forward-only per surface: claude.ai from 2026-06-01, Claude Code from 2026-05-30, Claude in Office from 2026-05-29, Cowork from 2026-06-02 (Cowork clients predating annotation forwarding land in `unclassified_call_count`). Null, never 0, when the value cannot be stated: the read/write split is not enabled for this organization, or the day predates 2026-05-29. For a date-range total, sum the per-day values, but treat a window that extends before 2026-05-29 as null rather than summing only its covered days — date-range rollup mode (`starting_date`/`ending_date`) applies both rules server-side. - `unclassified_call_count?: number | null` Number of connector tool calls on the requested day with no trusted read-only annotation — the annotation is optional in the MCP spec and is discarded when connector access controls are active, so unclassified calls are common. This field shows how much of the day's classified activity the read/write split actually covers. Call count, not distinct users. One of the three call-classification buckets; see `read_call_count` for the per-surface data-start dates, null conditions, and date-range guidance. - `user_id?: string | null` Tagged user identifier (e.g. `user_...`). Present only when the request grouped by `user_id`. - `write_call_count?: number | null` Number of connector tool calls on the requested day whose trusted read-only annotation marked them not read-only. Call count, not distinct users. One of the three call-classification buckets; see `read_call_count` for the per-surface data-start dates, null conditions, and date-range guidance. ### Beta Analytics Connector Chat Cowork Unified Chat Metrics - `interface BetaAnalyticsConnectorChatCoworkUnifiedChatMetrics` A connector's use in chat conversations recorded while members had Chat and Cowork unified turned on. - `distinct_conversation_connector_used_count: number | null` Same measure as `chat_metrics.distinct_conversation_connector_used_count`, for activity recorded while members had Chat and Cowork unified turned on. Approximate (HLL, typical error <2%) in date-range mode. Null on aggregated rows where a distinct count cannot be computed. ### Beta Analytics Connector Chat Cowork Unified Sessions Metrics - `interface BetaAnalyticsConnectorChatCoworkUnifiedSessionsMetrics` A connector's use in Cowork sessions recorded while members had Chat and Cowork unified turned on. - `distinct_session_connector_used_count: number | null` Same measure as `cowork_metrics.distinct_session_connector_used_count`, for activity recorded while members had Chat and Cowork unified turned on. Approximate (HLL, typical error <2%) in date-range mode. Null on aggregated rows where a distinct count cannot be computed. ### Beta Analytics Connector Chat Metrics - `interface BetaAnalyticsConnectorChatMetrics` Claude.ai activity metrics for a single connector on a given day. - `distinct_conversation_connector_used_count: number | null` Number of distinct conversations in which the connector was used. Approximate (HLL, typical error <2%) in date-range mode. Null on aggregated rows where a distinct count cannot be computed. ### Beta Analytics Connector Claude Code Metrics - `interface BetaAnalyticsConnectorClaudeCodeMetrics` Claude Code activity metrics for a single connector on a given day. - `distinct_session_connector_used_count: number | null` Number of distinct Claude Code sessions in which the connector was used. Approximate (HLL, typical error <2%) in date-range mode. Null on aggregated rows where a distinct count cannot be computed. ### Beta Analytics Connector Cowork Metrics - `interface BetaAnalyticsConnectorCoworkMetrics` Cowork activity metrics for a single connector on a given day. - `distinct_session_connector_used_count: number | null` Number of distinct Cowork sessions in which the connector was used. Approximate (HLL, typical error <2%) in date-range mode. Null on aggregated rows where a distinct count cannot be computed. ### Beta Analytics Connector Office Metrics - `interface BetaAnalyticsConnectorOfficeMetrics` Office Agent activity metrics for a single connector on a given day, broken out by Office product. - `excel: BetaAnalyticsConnectorOfficeProductMetrics` Office Agent activity metrics for a single connector on a given day within one Office product. - `distinct_session_connector_used_count: number | null` Number of distinct Office Agent sessions in which the connector was used. Approximate (HLL, typical error <2%) in date-range mode. Null on aggregated rows where a distinct count cannot be computed. - `outlook: BetaAnalyticsConnectorOfficeProductMetrics` Office Agent activity metrics for a single connector on a given day within one Office product. - `powerpoint: BetaAnalyticsConnectorOfficeProductMetrics` Office Agent activity metrics for a single connector on a given day within one Office product. - `word: BetaAnalyticsConnectorOfficeProductMetrics` Office Agent activity metrics for a single connector on a given day within one Office product. ### Beta Analytics Connector Office Product Metrics - `interface BetaAnalyticsConnectorOfficeProductMetrics` Office Agent activity metrics for a single connector on a given day within one Office product. - `distinct_session_connector_used_count: number | null` Number of distinct Office Agent sessions in which the connector was used. Approximate (HLL, typical error <2%) in date-range mode. Null on aggregated rows where a distinct count cannot be computed. ### Beta Analytics Context Window - `type BetaAnalyticsContextWindow = "0-200k" | "200k-1M"` - `"0-200k"` - `"200k-1M"` ### Beta Analytics Core Code Metrics - `interface BetaAnalyticsCoreCodeMetrics` Core Claude Code activity metrics for a single user on a given day. - `artifacts_created_count: number` Number of artifacts created in Claude Code sessions: an artifact counts once, on the day a session first saves it. Counted from 2026-08-17; 0 on earlier days. Exact in date-range mode: a creation belongs to exactly one day, so the per-day counts never overlap and their sum over the window is the exact count of distinct creations in it. - `commit_count: number` Number of commits made via Claude Code - `distinct_session_count: number | null` Number of distinct Claude Code sessions. On aggregated rows and in date-range mode: summed per-day distinct counts. A session essentially never spans a UTC day, so the sum is in practice the true distinct count. - `lines_of_code: BetaAnalyticsLinesOfCode` Lines of code added and removed via Claude Code. - `added_count: number` Lines of code added - `removed_count: number` Lines of code removed - `pull_request_count: number` Number of pull requests created via Claude Code ### Beta Analytics Cost Bucketed Result - `interface BetaAnalyticsCostBucketedResult` - `amount: string` Amount (post-discount, pre-credit) in fractional cents. - `claude_tag_category: BetaAnalyticsClaudeTagCategory | null` Claude Tag (Claude in Slack) spend category: `engaged` (a person addressed Claude in a channel or thread), `proactive` (Claude responded without being addressed), `scheduled` (a scheduled routine ran), `monitoring` (Claude watching a channel it was asked to monitor), or `dm` (direct messages with Claude). Populated only when `claude_tag_category` is in `group_by[]`; null for usage that is not Claude Tag. Direct-message usage is billed to the individual user and is reported under that user's product, not under `claude-tag`. New categories may be added over time. - `"dm"` - `"engaged"` - `"monitoring"` - `"proactive"` - `"scheduled"` - `claude_tag_user_id: string | null` Slack user ID (for example `U0123ABCDEF`) of the member the Claude Tag (Claude in Slack) usage is attributed to, not a claude.ai user ID. Populated only when `claude_tag_user_id` is in `group_by[]`; null for usage that is not Claude Tag and for Claude Tag usage that is not attributed to a single user (for example `monitoring`, and `proactive` usage Claude initiated), so per-user rows can sum to less than the Claude Tag total. Cannot be combined with `group_by[]=rbac_group_id` or the `rbac_group_ids[]` filter. - `context_window: BetaAnalyticsContextWindow | null` Context-window pricing tier of the usage or cost. Null unless `context_window` is in `group_by[]`; it can also be null on grouped rows with no context-window tier, such as code execution. - `"0-200k"` - `"200k-1M"` - `cost_type: BetaAnalyticsCostType | null` Cost component when `group_by[]=cost_type`; null otherwise (amount is the combined total). - `"code_execution"` - `"tokens"` - `"web_search"` - `currency: string` Currency code for the cost amount. Currently always `"USD"`. default: USD - `inference_geo: "global" | "us" | null` Inference region of the usage or cost. Null unless `inference_geo` is in `group_by[]`; it can also be null on grouped rows where the region is not set (the rows that `inference_geos[]=not_available` matches). - `"global"` - `"us"` - `list_amount: string` List-price amount (pre-discount) in fractional cents. - `model: string | null` Model that produced the usage or cost, as a model name in the form the `models[]` filter accepts (for example, `claude-opus-5`). Null unless `model` is in `group_by[]`; it can also be null on grouped rows whose usage or cost is not attributed to a specific model, such as code execution. - `product: string | null` Product surface that produced the usage or cost. Null unless product is in `group_by[]`; it can also be null on grouped rows whose usage cannot be attributed to a known surface. Values include `chat`, `claude_code`, `cowork`, `office_agent`, `claude_in_chrome`, `claude_design`, `claude-tag`, and `chat_cowork_unified`. `claude-tag` is Claude Tag, the Claude product in Slack. `chat_cowork_unified` is Chat and Cowork unified, Cowork's features inside claude.ai chat: chat and Cowork usage by a member who has it turned on is reported under this value instead of `chat` or `cowork`. It is accepted as a filter only on deployments that offer Chat and Cowork unified. Some unattributed usage is reported as "other". - `rbac_group_id: string | null` RBAC group (team) the usage is attributed to, in the public tagged `rbac_group_...` spelling — the same spelling the activity resources use for this key, so the same team has one id across resources and it round-trips as an `rbac_group_ids[]` filter value. Populated only when `rbac_group_id` is in `group_by[]`. Any-membership semantics: a user in several groups contributes their full usage to each of those groups' rows, so the named-group rows overlap and their sum can exceed the org total. A null value is the single unassigned row: users in no group on that (UTC) day. For the true org total, run the same query without `group_by[]`. - `requests: number | null` Number of API requests in this row's scope. Null when `group_by` includes `cost_type` or `token_type` (the count has no per-component attribution; read it from the ungrouped response). For sandbox / code-execution events, this counts execution spans rather than HTTP requests (these rows surface with `product: null`). - `slack_channel_id: string | null` Slack channel the usage originated from. Populated only when `slack_channel_id` is in `group_by[]`; null for usage outside Slack (and for rows recorded before channel attribution was enabled). - `speed: "fast" | "standard" | null` Inference speed mode of the usage or cost: `fast` or `standard`. Null unless `speed` is in `group_by[]`. - `"fast"` - `"standard"` - `token_type: BetaAnalyticsTokenType | null` Token type when `group_by[]=token_type` and `cost_type=tokens`; null otherwise. - `"cache_creation.ephemeral_1h_input_tokens"` - `"cache_creation.ephemeral_5m_input_tokens"` - `"cache_read_input_tokens"` - `"output_tokens"` - `"uncached_input_tokens"` ### Beta Analytics Cost Report Time Bucket - `interface BetaAnalyticsCostReportTimeBucket` - `ending_at: string` End of the time bucket (exclusive) in RFC 3339 format. format: date-time - `results: Array` Rows for this time bucket. Empty when the bucket has no data; otherwise a single combined row when `group_by[]` is omitted, or one row per group (subject to the per-bucket group cap described on the `group_by[]` parameter). - `amount: string` Amount (post-discount, pre-credit) in fractional cents. - `claude_tag_category: BetaAnalyticsClaudeTagCategory | null` Claude Tag (Claude in Slack) spend category: `engaged` (a person addressed Claude in a channel or thread), `proactive` (Claude responded without being addressed), `scheduled` (a scheduled routine ran), `monitoring` (Claude watching a channel it was asked to monitor), or `dm` (direct messages with Claude). Populated only when `claude_tag_category` is in `group_by[]`; null for usage that is not Claude Tag. Direct-message usage is billed to the individual user and is reported under that user's product, not under `claude-tag`. New categories may be added over time. - `"dm"` - `"engaged"` - `"monitoring"` - `"proactive"` - `"scheduled"` - `claude_tag_user_id: string | null` Slack user ID (for example `U0123ABCDEF`) of the member the Claude Tag (Claude in Slack) usage is attributed to, not a claude.ai user ID. Populated only when `claude_tag_user_id` is in `group_by[]`; null for usage that is not Claude Tag and for Claude Tag usage that is not attributed to a single user (for example `monitoring`, and `proactive` usage Claude initiated), so per-user rows can sum to less than the Claude Tag total. Cannot be combined with `group_by[]=rbac_group_id` or the `rbac_group_ids[]` filter. - `context_window: BetaAnalyticsContextWindow | null` Context-window pricing tier of the usage or cost. Null unless `context_window` is in `group_by[]`; it can also be null on grouped rows with no context-window tier, such as code execution. - `"0-200k"` - `"200k-1M"` - `cost_type: BetaAnalyticsCostType | null` Cost component when `group_by[]=cost_type`; null otherwise (amount is the combined total). - `"code_execution"` - `"tokens"` - `"web_search"` - `currency: string` Currency code for the cost amount. Currently always `"USD"`. default: USD - `inference_geo: "global" | "us" | null` Inference region of the usage or cost. Null unless `inference_geo` is in `group_by[]`; it can also be null on grouped rows where the region is not set (the rows that `inference_geos[]=not_available` matches). - `"global"` - `"us"` - `list_amount: string` List-price amount (pre-discount) in fractional cents. - `model: string | null` Model that produced the usage or cost, as a model name in the form the `models[]` filter accepts (for example, `claude-opus-5`). Null unless `model` is in `group_by[]`; it can also be null on grouped rows whose usage or cost is not attributed to a specific model, such as code execution. - `product: string | null` Product surface that produced the usage or cost. Null unless product is in `group_by[]`; it can also be null on grouped rows whose usage cannot be attributed to a known surface. Values include `chat`, `claude_code`, `cowork`, `office_agent`, `claude_in_chrome`, `claude_design`, `claude-tag`, and `chat_cowork_unified`. `claude-tag` is Claude Tag, the Claude product in Slack. `chat_cowork_unified` is Chat and Cowork unified, Cowork's features inside claude.ai chat: chat and Cowork usage by a member who has it turned on is reported under this value instead of `chat` or `cowork`. It is accepted as a filter only on deployments that offer Chat and Cowork unified. Some unattributed usage is reported as "other". - `rbac_group_id: string | null` RBAC group (team) the usage is attributed to, in the public tagged `rbac_group_...` spelling — the same spelling the activity resources use for this key, so the same team has one id across resources and it round-trips as an `rbac_group_ids[]` filter value. Populated only when `rbac_group_id` is in `group_by[]`. Any-membership semantics: a user in several groups contributes their full usage to each of those groups' rows, so the named-group rows overlap and their sum can exceed the org total. A null value is the single unassigned row: users in no group on that (UTC) day. For the true org total, run the same query without `group_by[]`. - `requests: number | null` Number of API requests in this row's scope. Null when `group_by` includes `cost_type` or `token_type` (the count has no per-component attribution; read it from the ungrouped response). For sandbox / code-execution events, this counts execution spans rather than HTTP requests (these rows surface with `product: null`). - `slack_channel_id: string | null` Slack channel the usage originated from. Populated only when `slack_channel_id` is in `group_by[]`; null for usage outside Slack (and for rows recorded before channel attribution was enabled). - `speed: "fast" | "standard" | null` Inference speed mode of the usage or cost: `fast` or `standard`. Null unless `speed` is in `group_by[]`. - `"fast"` - `"standard"` - `token_type: BetaAnalyticsTokenType | null` Token type when `group_by[]=token_type` and `cost_type=tokens`; null otherwise. - `"cache_creation.ephemeral_1h_input_tokens"` - `"cache_creation.ephemeral_5m_input_tokens"` - `"cache_read_input_tokens"` - `"output_tokens"` - `"uncached_input_tokens"` - `starting_at: string` Start of the time bucket (inclusive) in RFC 3339 format. format: date-time ### Beta Analytics Cost Type - `type BetaAnalyticsCostType = "code_execution" | "tokens" | "web_search"` - `"code_execution"` - `"tokens"` - `"web_search"` ### Beta Analytics Cost Users Item - `interface BetaAnalyticsCostUsersItem` - `actor: BetaAnalyticsUserActor` The user this row's usage or cost is attributed to. Always a `user_actor`. - `type: "user_actor"` Actor type. Always `"user_actor"`. - `deleted: boolean` True when the account has been deleted, or when the user is no longer a member of the organization or its associated organizations (for example, their membership was removed or they were deprovisioned via your identity provider). `email_address` stays populated for removed users and is null when the account has been deleted. `name` follows the rules described on that field. The `user_id` is still populated for reconciliation. - `email_address: string | null` The user's email address, including for users who are no longer members of the organization or its associated organizations. Null when the account has been deleted (check `deleted`) and for system-minted service accounts, which have no person's mailbox behind them (check `name`). - `name: string | null` The user's full name. Null when the user has not set a name. Returns `"Deleted User"` when the account itself has been deleted, or when the user is no longer a member of the organization or its associated organizations and the organization has chosen to hide the names of removed users. Otherwise, the name stays populated for removed users. Rows for system-minted service accounts render the service name (for example, `"Claude Security"` for usage by Anthropic's security-patching service) or null. - `user_id: string` Tagged user ID. - `amount: string` Amount (post-discount, pre-credit) in fractional cents (minor units). - `claude_tag_category: BetaAnalyticsClaudeTagCategory | null` Claude Tag (Claude in Slack) spend category: `engaged` (a person addressed Claude in a channel or thread), `proactive` (Claude responded without being addressed), `scheduled` (a scheduled routine ran), `monitoring` (Claude watching a channel it was asked to monitor), or `dm` (direct messages with Claude). Populated only when `claude_tag_category` is in `group_by[]`; null for usage that is not Claude Tag. Direct-message usage is billed to the individual user and is reported under that user's product, not under `claude-tag`. New categories may be added over time. - `"dm"` - `"engaged"` - `"monitoring"` - `"proactive"` - `"scheduled"` - `claude_tag_user_id: string | null` Slack user ID (for example `U0123ABCDEF`) of the member the Claude Tag (Claude in Slack) usage is attributed to, not a claude.ai user ID. Populated only when `claude_tag_user_id` is in `group_by[]`; null for usage that is not Claude Tag and for Claude Tag usage that is not attributed to a single user (for example `monitoring`, and `proactive` usage Claude initiated), so per-user rows can sum to less than the Claude Tag total. Cannot be combined with `group_by[]=rbac_group_id` or the `rbac_group_ids[]` filter. - `context_window: BetaAnalyticsContextWindow | null` Context-window pricing tier of the usage or cost. Null unless `context_window` is in `group_by[]`; it can also be null on grouped rows with no context-window tier, such as code execution. - `"0-200k"` - `"200k-1M"` - `cost_type: BetaAnalyticsCostType | null` Cost component breakdown; null when returning the combined total. - `"code_execution"` - `"tokens"` - `"web_search"` - `currency: string` Currency code for the cost amount. Currently always `"USD"`. default: USD - `ending_at: string | null` End of the row's UTC time bucket (exclusive), as an RFC 3339 timestamp; equal to `starting_at` plus one `bucket_width`. Null unless `bucket_width` is set. format: date-time - `inference_geo: "global" | "us" | null` Inference region of the usage or cost. Null unless `inference_geo` is in `group_by[]`; it can also be null on grouped rows where the region is not set (the rows that `inference_geos[]=not_available` matches). - `"global"` - `"us"` - `list_amount: string` List-price amount (pre-discount) in fractional cents. - `model: string | null` Model that produced the usage or cost, as a model name in the form the `models[]` filter accepts (for example, `claude-opus-5`). Null unless `model` is in `group_by[]`; it can also be null on grouped rows whose usage or cost is not attributed to a specific model, such as code execution. - `product: string | null` Product surface that produced the usage or cost. Null unless product is in `group_by[]`; it can also be null on grouped rows whose usage cannot be attributed to a known surface. Values include `chat`, `claude_code`, `cowork`, `office_agent`, `claude_in_chrome`, `claude_design`, `claude-tag`, and `chat_cowork_unified`. `claude-tag` is Claude Tag, the Claude product in Slack. `chat_cowork_unified` is Chat and Cowork unified, Cowork's features inside claude.ai chat: chat and Cowork usage by a member who has it turned on is reported under this value instead of `chat` or `cowork`. It is accepted as a filter only on deployments that offer Chat and Cowork unified. Some unattributed usage is reported as "other". - `rbac_group_id: string | null` RBAC group (team) the usage is attributed to, in the public tagged `rbac_group_...` spelling — the same spelling the activity resources use for this key, so the same team has one id across resources and it round-trips as an `rbac_group_ids[]` filter value. Populated only when `rbac_group_id` is in `group_by[]`. Any-membership semantics: a user in several groups contributes their full usage to each of those groups' rows, so the named-group rows overlap and their sum can exceed the org total. A null value is the single unassigned row: users in no group on that (UTC) day. For the true org total, run the same query without `group_by[]`. - `requests: number | null` Number of API requests in this row's scope. Null when `group_by` includes `cost_type` or `token_type` (the count has no per-component attribution; read it from the ungrouped response). For sandbox / code-execution events, this counts execution spans rather than HTTP requests (these rows surface with `product: null`). - `slack_channel_id: string | null` Slack channel the usage originated from. Populated only when `slack_channel_id` is in `group_by[]`; null for usage outside Slack (and for rows recorded before channel attribution was enabled). - `speed: "fast" | "standard" | null` Inference speed mode of the usage or cost: `fast` or `standard`. Null unless `speed` is in `group_by[]`. - `"fast"` - `"standard"` - `starting_at: string | null` Start of the row's UTC time bucket (inclusive), as an RFC 3339 timestamp. Null unless `bucket_width` is set; without `bucket_width`, each row aggregates the full requested range. format: date-time - `token_type: BetaAnalyticsTokenType | null` Token type when `cost_type` is `tokens`; null otherwise. - `"cache_creation.ephemeral_1h_input_tokens"` - `"cache_creation.ephemeral_5m_input_tokens"` - `"cache_read_input_tokens"` - `"output_tokens"` - `"uncached_input_tokens"` ### Beta Analytics Cowork Metrics - `interface BetaAnalyticsCoworkMetrics` Cowork activity metrics for a single user on a given day. - `action_count: number` Number of tool actions completed in Cowork sessions - `artifacts_created_count: number` Number of artifacts created in Cowork sessions: an artifact counts once, on the day a session first saves it. Counted from 2026-08-17; 0 on earlier days. Exact in date-range mode: a creation belongs to exactly one day, so the per-day counts never overlap and their sum over the window is the exact count of distinct creations in it. - `connectors_used_count: number` Total number of connector invocations in Cowork sessions - `dispatch_turn_count: number` Number of Dispatch (background agent) turns completed - `distinct_connectors_used_count: number | null` Number of distinct connectors used in Cowork sessions. Approximate (HLL, typical error <2%) in date-range mode. Null on aggregated rows where a distinct count cannot be computed. - `distinct_session_count: number | null` Number of distinct Cowork sessions. Approximate (HLL, typical error <2%) in date-range mode. Null on aggregated rows where a distinct count cannot be computed. - `distinct_skills_used_count: number | null` Number of distinct skills used in Cowork sessions. Approximate (HLL, typical error <2%) in date-range mode. Null on aggregated rows where a distinct count cannot be computed. - `message_count: number` Number of messages sent in Cowork sessions - `skills_used_count: number` Total number of skill invocations in Cowork sessions - `distinct_plugins_used_count?: number | null` Number of distinct plugins used in Cowork sessions. Null while Cowork plugin-use metrics are not enabled for this organization. Approximate (HLL, typical error <2%) in date-range mode. Null on aggregated rows where a distinct count cannot be computed. - `edit_tool_count?: number | null` Number of successful Edit tool calls in Cowork sessions. Null while the file-edit metrics are not enabled for this organization. - `file_edit_count?: number | null` Number of successful file-edit tool calls (Edit, MultiEdit, Write, NotebookEdit) in Cowork sessions. Null, never 0, while the file-edit metrics are not enabled for this organization. - `multi_edit_tool_count?: number | null` Number of successful MultiEdit tool calls in Cowork sessions. Null while the file-edit metrics are not enabled for this organization. - `notebook_edit_tool_count?: number | null` Number of successful NotebookEdit tool calls in Cowork sessions. Null while the file-edit metrics are not enabled for this organization. - `plugins_used_count?: number | null` Total number of plugin invocations in Cowork sessions. Null while Cowork plugin-use metrics are not enabled for this organization. - `sessions_with_file_edits_count?: number | null` Number of distinct Cowork sessions with at least one successful file-edit tool call. Null while the file-edit metrics are not enabled for this organization. Approximate (HLL, typical error <2%) in date-range mode. Null on aggregated rows where a distinct count cannot be computed. - `write_tool_count?: number | null` Number of successful Write tool calls in Cowork sessions. Null while the file-edit metrics are not enabled for this organization. ### Beta Analytics Design Metrics - `interface BetaAnalyticsDesignMetrics` Claude Design activity metrics for a single user on a given day. - `distinct_projects_created_count: number` Number of distinct Claude Design projects created. Exact in date-range mode: a creation belongs to exactly one day, so the per-day counts never overlap and their sum over the window is the exact count of distinct creations in it. - `distinct_projects_used_count: number | null` Number of distinct Claude Design projects the user worked in. Approximate (HLL, typical error <2%) in date-range mode. Null on aggregated rows where a distinct count cannot be computed. - `distinct_session_count: number | null` Number of distinct Claude Design sessions. Approximate (HLL, typical error <2%) in date-range mode. Null on aggregated rows where a distinct count cannot be computed. - `message_count: number` Number of messages sent in Claude Design sessions ### Beta Analytics Inference Geo Filter - `type BetaAnalyticsInferenceGeoFilter = "global" | "not_available" | "us"` - `"global"` - `"not_available"` - `"us"` ### Beta Analytics Lines Of Code - `interface BetaAnalyticsLinesOfCode` Lines of code added and removed via Claude Code. - `added_count: number` Lines of code added - `removed_count: number` Lines of code removed ### Beta Analytics Office Metrics - `interface BetaAnalyticsOfficeMetrics` Office Agent activity metrics for a single user on a given day, broken out by Office product. - `excel: BetaAnalyticsOfficeProductMetrics` Office Agent activity metrics for a single user on a given day within one Office product. - `connectors_used_count: number` Number of MCP connector invocations - `distinct_connectors_used_count: number | null` Number of distinct MCP connectors used. Approximate (HLL, typical error <2%) in date-range mode. Null on aggregated rows where a distinct count cannot be computed. - `distinct_session_count: number | null` Number of distinct Office Agent sessions. Approximate (HLL, typical error <2%) in date-range mode. Null on aggregated rows where a distinct count cannot be computed. - `distinct_skills_used_count: number | null` Number of distinct skills used. Approximate (HLL, typical error <2%) in date-range mode. Null on aggregated rows where a distinct count cannot be computed. - `message_count: number` Number of messages sent - `skills_used_count: number` Number of skill invocations - `outlook: BetaAnalyticsOfficeProductMetrics` Office Agent activity metrics for a single user on a given day within one Office product. - `powerpoint: BetaAnalyticsOfficeProductMetrics` Office Agent activity metrics for a single user on a given day within one Office product. - `word: BetaAnalyticsOfficeProductMetrics` Office Agent activity metrics for a single user on a given day within one Office product. ### Beta Analytics Office Product Metrics - `interface BetaAnalyticsOfficeProductMetrics` Office Agent activity metrics for a single user on a given day within one Office product. - `connectors_used_count: number` Number of MCP connector invocations - `distinct_connectors_used_count: number | null` Number of distinct MCP connectors used. Approximate (HLL, typical error <2%) in date-range mode. Null on aggregated rows where a distinct count cannot be computed. - `distinct_session_count: number | null` Number of distinct Office Agent sessions. Approximate (HLL, typical error <2%) in date-range mode. Null on aggregated rows where a distinct count cannot be computed. - `distinct_skills_used_count: number | null` Number of distinct skills used. Approximate (HLL, typical error <2%) in date-range mode. Null on aggregated rows where a distinct count cannot be computed. - `message_count: number` Number of messages sent - `skills_used_count: number` Number of skill invocations ### Beta Analytics Plugin Activity - `interface BetaAnalyticsPluginActivity` Per-plugin install + invocation activity for a given day. With `group_by[]=user_id` / `rbac_group_id` / `product` (`cowork`, `claude_code` and `chat_cowork_unified` only on this endpoint) each row is one (plugin, user), (plugin, group), or (plugin, product) cut: the flat `user_id` / `rbac_group_id` / `product` keys carry the cut and the counts are scoped to it. - `claude_code_metrics: BetaAnalyticsPluginClaudeCodeMetrics` Claude Code activity metrics for a single plugin on a given day. - `distinct_session_plugin_used_count: number | null` Number of distinct Claude Code sessions in which the plugin was invoked. Null on aggregated rows where a distinct count cannot be computed. - `cowork_metrics: BetaAnalyticsPluginCoworkMetrics` Cowork activity metrics for a single plugin on a given day. - `distinct_session_plugin_used_count: number | null` Number of distinct Cowork sessions in which the plugin was invoked. Null on aggregated rows where a distinct count cannot be computed. - `distinct_user_count: number` Number of distinct users with recorded install or invocation activity for the plugin on the requested day (install-only users count), or, in date-range mode, over the requested window — recomputed as an exact distinct count over the window's per-member daily rows, never a sum of per-day values. - `install_count: number | null` Number of distinct users who installed the plugin on the requested day, or, in date-range mode, over the requested window — recomputed as an exact distinct count over the window's per-member daily rows, never a sum of per-day values. - `invocation_count: number` Number of plugin invocations on the requested day - `plugin_name: string` Name of the plugin - `chat_cowork_unified_metrics?: ChatCoworkUnifiedMetrics | null` Plugin use recorded while members had Chat and Cowork unified (Cowork's features inside claude.ai chat) turned on. A count is null in date-range mode where it cannot be computed. Omitted from the response on deployments that do not offer Chat and Cowork unified. - `distinct_session_plugin_used_count: number | null` Same measure as `cowork_metrics.distinct_session_plugin_used_count`, for activity recorded while members had Chat and Cowork unified turned on. Null on aggregated rows where a distinct count cannot be computed. - `plugin_id?: string | null` Stable plugin identifier when available (e.g. `serena@claude-plugins-official`). Null for third-party Claude Code plugins (redacted at the source) and Cowork slash commands that carry only a hashed id. - `product?: string | null` Product that produced this row's activity: one of `chat`, `claude_code`, `cowork`, `office_agent`, or `chat_cowork_unified` (Chat and Cowork unified). These are the canonical Cost & Usage product names; an `office_agent` row's per-surface breakdown is in its `office_metrics`. On `/plugins` only `cowork`, `claude_code` and `chat_cowork_unified` occur (the only surfaces with plugin attribution); on `/artifacts` only `chat`, `claude_code`, `cowork` and `chat_cowork_unified` occur (the surfaces that create artifacts); `/apps/chat/projects` does not support the product dimension (a `product` entry in `group_by[]` or `filter[]` there is rejected). Present only when the request grouped by `product`. - `rbac_group_id?: string | null` Tagged RBAC group identifier (`rbac_group_...`), matching the spend-limits API spelling. Present only when the request grouped by `rbac_group_id`. - `rbac_group_name?: string | null` Resolved RBAC group display name, alongside `rbac_group_id` when name resolution is available. Null if the group has been deleted or its name could not be resolved; `rbac_group_id` remains the stable key. - `user_id?: string | null` Tagged user identifier (e.g. `user_...`). Present only when the request grouped by `user_id`. ### Beta Analytics Plugin Claude Code Metrics - `interface BetaAnalyticsPluginClaudeCodeMetrics` Claude Code activity metrics for a single plugin on a given day. - `distinct_session_plugin_used_count: number | null` Number of distinct Claude Code sessions in which the plugin was invoked. Null on aggregated rows where a distinct count cannot be computed. ### Beta Analytics Plugin Cowork Metrics - `interface BetaAnalyticsPluginCoworkMetrics` Cowork activity metrics for a single plugin on a given day. - `distinct_session_plugin_used_count: number | null` Number of distinct Cowork sessions in which the plugin was invoked. Null on aggregated rows where a distinct count cannot be computed. ### Beta Analytics Product Filter - `type BetaAnalyticsProductFilter = "chat" | "chat_cowork_unified" | "claude-tag" | 5 more` Publicly documented product surfaces. `claude-tag` is Claude Tag, the Claude product in Slack. `chat_cowork_unified` is Chat and Cowork unified, Cowork's features inside claude.ai chat: chat and Cowork usage by a member who has it turned on is reported under this value instead of `chat` or `cowork`. It is accepted as a filter only on deployments that offer Chat and Cowork unified. - `"chat"` - `"chat_cowork_unified"` - `"claude-tag"` - `"claude_code"` - `"claude_design"` - `"claude_in_chrome"` - `"cowork"` - `"office_agent"` ### Beta Analytics Project Activity - `interface BetaAnalyticsProjectActivity` Per-project activity data for a given day. - `distinct_user_count: number` Number of distinct users who used the project on the requested day, or, in date-range mode, over the requested window — recomputed as an exact distinct count over the window's per-member daily rows, never a sum of per-day values. - `message_count: number` Number of messages sent in the project on the requested day - `project_id: string` Tagged project identifier (e.g. `claude_proj_...`) - `project_name: string` Name of the project - `created_at?: string | null` Project creation timestamp in RFC 3339 format. Null if the project was deleted before attribution was recorded. format: date-time - `created_by?: BetaAnalyticsUser | null` User who created the project. Null if the project was deleted before attribution was recorded, or if the creator's account no longer exists. - `type: "user"` Object type. Always `user`. default: user - `id: string` Tagged user identifier (e.g. `user_...`) - `email_address: string` Email address of the user - `distinct_conversation_count?: number | null` Number of distinct conversations in the project. Null on aggregated rows where a distinct count cannot be computed. - `product?: string | null` Product that produced this row's activity: one of `chat`, `claude_code`, `cowork`, `office_agent`, or `chat_cowork_unified` (Chat and Cowork unified). These are the canonical Cost & Usage product names; an `office_agent` row's per-surface breakdown is in its `office_metrics`. On `/plugins` only `cowork`, `claude_code` and `chat_cowork_unified` occur (the only surfaces with plugin attribution); on `/artifacts` only `chat`, `claude_code`, `cowork` and `chat_cowork_unified` occur (the surfaces that create artifacts); `/apps/chat/projects` does not support the product dimension (a `product` entry in `group_by[]` or `filter[]` there is rejected). Present only when the request grouped by `product`. - `rbac_group_id?: string | null` Tagged RBAC group identifier (`rbac_group_...`), matching the spend-limits API spelling. Present only when the request grouped by `rbac_group_id`. - `rbac_group_name?: string | null` Resolved RBAC group display name, alongside `rbac_group_id` when name resolution is available. Null if the group has been deleted or its name could not be resolved; `rbac_group_id` remains the stable key. - `user_id?: string | null` Tagged user identifier (e.g. `user_...`). Present only when the request grouped by `user_id`. ### Beta Analytics Science Metrics - `interface BetaAnalyticsScienceMetrics` Claude Science activity metrics for a single user on a given day. - `delegation_count: number` Number of delegations (handoffs to a specialized agent) in Claude Science sessions - `distinct_session_count: number | null` Number of distinct Claude Science sessions. Approximate (HLL, typical error <2%) in date-range mode. Null on aggregated rows where a distinct count cannot be computed. - `message_count: number` Number of messages sent in Claude Science sessions - `remote_compute_job_count: number` Number of remote compute jobs launched from Claude Science sessions - `skills_used_count: number` Total number of skill invocations in Claude Science sessions ### Beta Analytics Server Tool Use - `interface BetaAnalyticsServerToolUse` - `web_search_requests: number` The number of web search requests made. ### Beta Analytics Single Day Activity Summary - `interface BetaAnalyticsSingleDayActivitySummary` Per-day entry in the /summaries response. - `assigned_seat_count: number | null` Number of seats currently assigned to members. Null when the response is scoped to an RBAC group — seat assignment is org-wide and has no per-group analogue. - `cowork_daily_active_user_count: number` Number of users with Cowork activity on the requested day - `cowork_monthly_active_user_count: number` Number of users with Cowork activity in the 30-day rolling window - `cowork_weekly_active_user_count: number` Number of users with Cowork activity in the 7-day rolling window - `daily_active_user_count: number` Number of users with token consumption on the requested day - `daily_adoption_rate: number | null` Percentage of assigned seats with activity on the requested day (`DAU / assigned_seat_count * 100`). Null when the response is scoped to an RBAC group. - `ending_at: string` End of the aggregation period (exclusive), UTC midnight in RFC 3339 format (e.g. `2026-01-16T00:00:00Z`). format: date-time - `monthly_active_user_count: number` Number of users with token consumption in the 30-day rolling window - `monthly_adoption_rate: number | null` Percentage of assigned seats with activity in the 30-day rolling window (`MAU / assigned_seat_count * 100`). Null when the response is scoped to an RBAC group. - `pending_invite_count: number | null` Number of pending invitations to join the organization. Null when the response is scoped to an RBAC group. - `starting_at: string` Start of the aggregation period (inclusive), UTC midnight in RFC 3339 format (e.g. `2026-01-15T00:00:00Z`). format: date-time - `weekly_active_user_count: number` Number of users with token consumption in the 7-day rolling window - `weekly_adoption_rate: number | null` Percentage of assigned seats with activity in the 7-day rolling window (`WAU / assigned_seat_count * 100`). Null when the response is scoped to an RBAC group. - `chat_cowork_unified_daily_active_user_count?: number | null` Number of users with activity in Chat and Cowork unified on the requested day. Omitted from the response on deployments that do not offer Chat and Cowork unified. - `chat_cowork_unified_monthly_active_user_count?: number | null` Number of users with activity in Chat and Cowork unified in the 28-day rolling window (30 days when the request filters by `rbac_group_id`). Omitted from the response on deployments that do not offer Chat and Cowork unified. - `chat_cowork_unified_weekly_active_user_count?: number | null` Number of users with activity in Chat and Cowork unified in the 7-day rolling window. Omitted from the response on deployments that do not offer Chat and Cowork unified. - `chat_daily_active_user_count?: number | null` Number of users with claude.ai (chat) activity on the requested day. Omitted from the response while the per-product breakdown is not enabled for this organization. - `chat_monthly_active_user_count?: number | null` Number of users with claude.ai (chat) activity in the 30-day rolling window. Omitted from the response while the per-product breakdown is not enabled for this organization. - `chat_weekly_active_user_count?: number | null` Number of users with claude.ai (chat) activity in the 7-day rolling window. Omitted from the response while the per-product breakdown is not enabled for this organization. - `claude_code_daily_active_user_count?: number | null` Number of users with Claude Code activity on the requested day. Omitted from the response while the per-product breakdown is not enabled for this organization. - `claude_code_monthly_active_user_count?: number | null` Number of users with Claude Code activity in the 30-day rolling window. Omitted from the response while the per-product breakdown is not enabled for this organization. - `claude_code_weekly_active_user_count?: number | null` Number of users with Claude Code activity in the 7-day rolling window. Omitted from the response while the per-product breakdown is not enabled for this organization. - `claude_design_daily_active_user_count?: number | null` Number of users with Claude Design activity on the requested day. Omitted from the response while the per-product breakdown is not enabled for this organization. - `claude_design_monthly_active_user_count?: number | null` Number of users with Claude Design activity in the 30-day rolling window. Omitted from the response while the per-product breakdown is not enabled for this organization. - `claude_design_weekly_active_user_count?: number | null` Number of users with Claude Design activity in the 7-day rolling window. Omitted from the response while the per-product breakdown is not enabled for this organization. - `office_agent_daily_active_user_count?: number | null` Number of users with Claude in Office activity on the requested day. Omitted from the response while the per-product breakdown is not enabled for this organization. - `office_agent_monthly_active_user_count?: number | null` Number of users with Claude in Office activity in the 30-day rolling window. Omitted from the response while the per-product breakdown is not enabled for this organization. - `office_agent_weekly_active_user_count?: number | null` Number of users with Claude in Office activity in the 7-day rolling window. Omitted from the response while the per-product breakdown is not enabled for this organization. - `science_daily_active_user_count?: number | null` Number of users with Claude Science activity on the requested day. Omitted from the response while the per-product breakdown is not enabled for this organization. - `science_entitled_user_count?: number | null` Number of users with a Claude Science seat entitlement (per-seat RBAC) at the time of the daily snapshot. The funnel top; independent of the org-level Claude Science toggle. Null when the response is scoped to an RBAC group — entitlement is org-wide and has no per-group analogue. Omitted from the response while the per-product breakdown is not enabled for this organization. - `science_monthly_active_user_count?: number | null` Number of users with Claude Science activity in the 30-day rolling window. Omitted from the response while the per-product breakdown is not enabled for this organization. - `science_weekly_active_user_count?: number | null` Number of users with Claude Science activity in the 7-day rolling window. Omitted from the response while the per-product breakdown is not enabled for this organization. ### Beta Analytics Skill Activity - `interface BetaAnalyticsSkillActivity` Per-skill activity data for a given day. - `chat_metrics: BetaAnalyticsSkillChatMetrics` Claude.ai activity metrics for a single skill on a given day. - `distinct_conversation_skill_used_count: number | null` Number of distinct conversations in which the skill was used. A skill counts as used only when it is explicitly activated — the model (or the user, via the skill's slash command) invokes it, reading its instructions into context as part of that activation. Skills that are merely installed or listed as available, or whose content reaches the context without an activation (preloaded, hook-injected, or read as a plain file), are not counted. Approximate (HLL, typical error <2%) in date-range mode. Null on aggregated rows where a distinct count cannot be computed. - `claude_code_metrics: BetaAnalyticsSkillClaudeCodeMetrics` Claude Code activity metrics for a single skill on a given day. - `distinct_session_skill_used_count: number | null` Number of distinct Claude Code sessions in which the skill was used. A skill counts as used only when it is explicitly activated — the model (or the user, via the skill's slash command) invokes it, reading its instructions into context as part of that activation. Skills that are merely installed or listed as available, or whose content reaches the context without an activation (preloaded, hook-injected, or read as a plain file), are not counted. Approximate (HLL, typical error <2%) in date-range mode. Null on aggregated rows where a distinct count cannot be computed. - `cowork_metrics: BetaAnalyticsSkillCoworkMetrics` Cowork activity metrics for a single skill on a given day. - `distinct_session_skill_used_count: number | null` Number of distinct Cowork sessions in which the skill was used. A skill counts as used only when it is explicitly activated — the model (or the user, via the skill's slash command) invokes it, reading its instructions into context as part of that activation. Skills that are merely installed or listed as available, or whose content reaches the context without an activation (preloaded, hook-injected, or read as a plain file), are not counted. Approximate (HLL, typical error <2%) in date-range mode. Null on aggregated rows where a distinct count cannot be computed. - `distinct_user_count: number` Number of distinct users who used the skill on the requested day, or, in date-range mode, over the requested window — recomputed as an exact distinct count over the window's per-member daily rows, never a sum of per-day values. A skill counts as used only when it is explicitly activated — the model (or the user, via the skill's slash command) invokes it, reading its instructions into context as part of that activation. Skills that are merely installed or listed as available, or whose content reaches the context without an activation (preloaded, hook-injected, or read as a plain file), are not counted. - `office_metrics: BetaAnalyticsSkillOfficeMetrics` Office Agent activity metrics for a single skill on a given day, broken out by Office product. - `excel: BetaAnalyticsSkillOfficeProductMetrics` Office Agent activity metrics for a single skill on a given day within one Office product. - `distinct_session_skill_used_count: number | null` Number of distinct Office Agent sessions in which the skill was used. A skill counts as used only when it is explicitly activated — the model (or the user, via the skill's slash command) invokes it, reading its instructions into context as part of that activation. Skills that are merely installed or listed as available, or whose content reaches the context without an activation (preloaded, hook-injected, or read as a plain file), are not counted. Approximate (HLL, typical error <2%) in date-range mode. Null on aggregated rows where a distinct count cannot be computed. - `outlook: BetaAnalyticsSkillOfficeProductMetrics` Office Agent activity metrics for a single skill on a given day within one Office product. - `powerpoint: BetaAnalyticsSkillOfficeProductMetrics` Office Agent activity metrics for a single skill on a given day within one Office product. - `word: BetaAnalyticsSkillOfficeProductMetrics` Office Agent activity metrics for a single skill on a given day within one Office product. - `skill_name: string` Name of the skill - `attributed_list_price?: string | null` List-price (rate-card) value of the member requests attributed to this skill, as a decimal string in the minor unit of `currency` (cents for USD), from Claude Code, Cowork, and Office Agent request-level attribution — the value of requests that involved the skill, not the skill's incremental cost. Unlike `estimated_overage_spend` this reflects usage value regardless of how it was funded — seat-covered usage counts — but it is undiscounted and does not tie to billed spend or the organization's spend reporting. claude.ai chat usage carries no request-level attribution and contributes nothing: the field is null on `chat` product rows and on `office_agent` product cuts dated before 2026-06-18 (the Office Agent attribution data-start), and on ungrouped rows it covers the Claude Code + Cowork + Office Agent share only (null when no attributable usage exists). Also null under the same conditions as `estimated_overage_spend` (spend reporting not enabled for this organization, `office_agent` product cuts before the 2026-06-18 data-start). "0" means attributable usage existed but none was attributed to this skill. Addable across days: date-range rollup mode returns the window's sum. On `group_by[]` and `filter[]` shapes both amounts can total below the ungrouped value for the same skill over the same date or range: spend attributed to a member–skill pair with no counted usage on that day is excluded from those cuts. - `chat_cowork_unified_metrics?: ChatCoworkUnifiedMetrics | null` Skill use recorded while members had Chat and Cowork unified (Cowork's features inside claude.ai chat) turned on, split into chat conversations and Cowork sessions. A count is null in date-range mode where it cannot be computed. Omitted from the response on deployments that do not offer Chat and Cowork unified. - `chat: BetaAnalyticsSkillChatCoworkUnifiedChatMetrics` A skill's use in chat conversations recorded while members had Chat and Cowork unified turned on. - `distinct_conversation_skill_used_count: number | null` Same measure as `chat_metrics.distinct_conversation_skill_used_count`, for activity recorded while members had Chat and Cowork unified turned on. Approximate (HLL, typical error <2%) in date-range mode. Null on aggregated rows where a distinct count cannot be computed. - `sessions: BetaAnalyticsSkillChatCoworkUnifiedSessionsMetrics` A skill's use in Cowork sessions recorded while members had Chat and Cowork unified turned on. - `distinct_session_skill_used_count: number | null` Same measure as `cowork_metrics.distinct_session_skill_used_count`, for activity recorded while members had Chat and Cowork unified turned on. Approximate (HLL, typical error <2%) in date-range mode. Null on aggregated rows where a distinct count cannot be computed. - `currency?: string | null` Currency for this row's monetary fields (`estimated_overage_spend` and `attributed_list_price`), as an uppercase ISO-4217 code. Always "USD" when either amount is populated; null whenever both amounts are null. - `enable_count?: number | null` Distinct accounts that enabled this skill on the requested day (claude.ai only — the skill analog of plugin `install_count`). The count is org-wide: null when enable reporting is not enabled for this organization, or when the request scopes to `user_id` / `rbac_group_id` / `product` via `group_by[]` or `filter[]` (an org-wide count would be misleading on per-cut rows). A distinct count, not an event count: summing across days double-counts members who enable the skill on more than one day, so it is also null in date-range rollup mode (`starting_date`/`ending_date`). - `estimated_overage_spend?: string | null` Estimated overage spend attributed to this skill, as a decimal string in the minor unit of `currency` (cents for USD; "1250" is $12.50, fractional cents possible) — an allocation of each member's daily post-discount, pre-credit metered overage spend (the same cost basis as the organization's spend reporting and the Cost & Usage API, so per-skill figures are directly comparable; spend with no skill attribution — including any member-day without skill invocations — is not represented, so skill rows sum to at most those totals) across the skills the member used. Overage only: usage covered by included seat allowances bills nothing and allocates $0 here — see `attributed_list_price` for the funding-independent usage-value companion. Claude Code, Cowork, and Office Agent spend use request-level skill attribution; claude.ai chat spend is approximated proportionally to skill-invoking messages. An estimate, not a billing number — and the cost of the requests/messages that involved the skill, not the skill's incremental cost (the same request would still have cost something without the skill active). "0" means no overage spend was attributed; null when spend reporting is not enabled for this organization, on `office_agent` product cuts dated before 2026-06-18 (the Office Agent attribution data-start). Addable across days: date-range rollup mode (`starting_date`/`ending_date`) returns the window's sum. With `group_by[]=user_id` each row carries the user's own attributed spend. On `group_by[]` and `filter[]` shapes both amounts can total below the ungrouped value for the same skill over the same date or range: spend attributed to a member–skill pair with no counted usage on that day is excluded from those cuts. - `invocation_count?: number | null` Total number of times this skill was invoked on the requested day (the skill analog of plugin `invocation_count`). Unlike `distinct_user_count` — which answers '\# of users' — this is the true '# of uses'. A skill counts as used only when it is explicitly activated — the model (or the user, via the skill's slash command) invokes it, reading its instructions into context as part of that activation. Skills that are merely installed or listed as available, or whose content reaches the context without an activation (preloaded, hook-injected, or read as a plain file), are not counted. Null when invocation reporting is not enabled for this organization. Sum across a date range for total uses in the window — date-range rollup mode (`starting_date`/`ending_date`) returns this sum directly. - `product?: string | null` Product that produced this row's activity: one of `chat`, `claude_code`, `cowork`, `office_agent`, or `chat_cowork_unified` (Chat and Cowork unified). These are the canonical Cost & Usage product names; an `office_agent` row's per-surface breakdown is in its `office_metrics`. On `/plugins` only `cowork`, `claude_code` and `chat_cowork_unified` occur (the only surfaces with plugin attribution); on `/artifacts` only `chat`, `claude_code`, `cowork` and `chat_cowork_unified` occur (the surfaces that create artifacts); `/apps/chat/projects` does not support the product dimension (a `product` entry in `group_by[]` or `filter[]` there is rejected). Present only when the request grouped by `product`. - `rbac_group_id?: string | null` Tagged RBAC group identifier (`rbac_group_...`), matching the spend-limits API spelling. Present only when the request grouped by `rbac_group_id`. - `rbac_group_name?: string | null` Resolved RBAC group display name, alongside `rbac_group_id` when name resolution is available. Null if the group has been deleted or its name could not be resolved; `rbac_group_id` remains the stable key. - `share_status?: "organization" | "private" | "public" | null` Skill share status (claude.ai only): one of `private`, `organization`, or `public`. Null for skills used only in Claude Code or Office (no per-skill share-status concept) and when share-status reporting is not yet available for the organization. Filterable via `filter[]=share_status:{value}`. - `"organization"` - `"private"` - `"public"` - `skill_display_name?: string | null` Human-readable display name for rows whose `skill_name` is an opaque skill id (user/organization skill types and plugin-delivered skills, whose user-defined names usage reports generally withhold). Organization-shared skills and skills delivered by the organization's own plugins (its plugin marketplaces and its library) resolve; plugin skill names are shown without their 'plugin:' prefix. The literal 'unknown' bucket row gets a fixed 'Unknown skill' label. For a member's own skill (private or personal-plugin) it is null, except when the skill's owner used it from Claude Code or Cowork in the requested period: then it shows the name that client reported at the time. Apart from that, the names of members' own skills are not disclosed to analytics-key holders. Also null for Anthropic-provided plugin skills (not resolved), for an organization skill or plugin whose name can no longer be found (for example, one since deleted), when `skill_name` is already a display name, or when display-name resolution is not enabled for this organization. - `user_id?: string | null` Tagged user identifier (e.g. `user_...`). Present only when the request grouped by `user_id`. ### Beta Analytics Skill Chat Cowork Unified Chat Metrics - `interface BetaAnalyticsSkillChatCoworkUnifiedChatMetrics` A skill's use in chat conversations recorded while members had Chat and Cowork unified turned on. - `distinct_conversation_skill_used_count: number | null` Same measure as `chat_metrics.distinct_conversation_skill_used_count`, for activity recorded while members had Chat and Cowork unified turned on. Approximate (HLL, typical error <2%) in date-range mode. Null on aggregated rows where a distinct count cannot be computed. ### Beta Analytics Skill Chat Cowork Unified Sessions Metrics - `interface BetaAnalyticsSkillChatCoworkUnifiedSessionsMetrics` A skill's use in Cowork sessions recorded while members had Chat and Cowork unified turned on. - `distinct_session_skill_used_count: number | null` Same measure as `cowork_metrics.distinct_session_skill_used_count`, for activity recorded while members had Chat and Cowork unified turned on. Approximate (HLL, typical error <2%) in date-range mode. Null on aggregated rows where a distinct count cannot be computed. ### Beta Analytics Skill Chat Metrics - `interface BetaAnalyticsSkillChatMetrics` Claude.ai activity metrics for a single skill on a given day. - `distinct_conversation_skill_used_count: number | null` Number of distinct conversations in which the skill was used. A skill counts as used only when it is explicitly activated — the model (or the user, via the skill's slash command) invokes it, reading its instructions into context as part of that activation. Skills that are merely installed or listed as available, or whose content reaches the context without an activation (preloaded, hook-injected, or read as a plain file), are not counted. Approximate (HLL, typical error <2%) in date-range mode. Null on aggregated rows where a distinct count cannot be computed. ### Beta Analytics Skill Claude Code Metrics - `interface BetaAnalyticsSkillClaudeCodeMetrics` Claude Code activity metrics for a single skill on a given day. - `distinct_session_skill_used_count: number | null` Number of distinct Claude Code sessions in which the skill was used. A skill counts as used only when it is explicitly activated — the model (or the user, via the skill's slash command) invokes it, reading its instructions into context as part of that activation. Skills that are merely installed or listed as available, or whose content reaches the context without an activation (preloaded, hook-injected, or read as a plain file), are not counted. Approximate (HLL, typical error <2%) in date-range mode. Null on aggregated rows where a distinct count cannot be computed. ### Beta Analytics Skill Cowork Metrics - `interface BetaAnalyticsSkillCoworkMetrics` Cowork activity metrics for a single skill on a given day. - `distinct_session_skill_used_count: number | null` Number of distinct Cowork sessions in which the skill was used. A skill counts as used only when it is explicitly activated — the model (or the user, via the skill's slash command) invokes it, reading its instructions into context as part of that activation. Skills that are merely installed or listed as available, or whose content reaches the context without an activation (preloaded, hook-injected, or read as a plain file), are not counted. Approximate (HLL, typical error <2%) in date-range mode. Null on aggregated rows where a distinct count cannot be computed. ### Beta Analytics Skill Office Metrics - `interface BetaAnalyticsSkillOfficeMetrics` Office Agent activity metrics for a single skill on a given day, broken out by Office product. - `excel: BetaAnalyticsSkillOfficeProductMetrics` Office Agent activity metrics for a single skill on a given day within one Office product. - `distinct_session_skill_used_count: number | null` Number of distinct Office Agent sessions in which the skill was used. A skill counts as used only when it is explicitly activated — the model (or the user, via the skill's slash command) invokes it, reading its instructions into context as part of that activation. Skills that are merely installed or listed as available, or whose content reaches the context without an activation (preloaded, hook-injected, or read as a plain file), are not counted. Approximate (HLL, typical error <2%) in date-range mode. Null on aggregated rows where a distinct count cannot be computed. - `outlook: BetaAnalyticsSkillOfficeProductMetrics` Office Agent activity metrics for a single skill on a given day within one Office product. - `powerpoint: BetaAnalyticsSkillOfficeProductMetrics` Office Agent activity metrics for a single skill on a given day within one Office product. - `word: BetaAnalyticsSkillOfficeProductMetrics` Office Agent activity metrics for a single skill on a given day within one Office product. ### Beta Analytics Skill Office Product Metrics - `interface BetaAnalyticsSkillOfficeProductMetrics` Office Agent activity metrics for a single skill on a given day within one Office product. - `distinct_session_skill_used_count: number | null` Number of distinct Office Agent sessions in which the skill was used. A skill counts as used only when it is explicitly activated — the model (or the user, via the skill's slash command) invokes it, reading its instructions into context as part of that activation. Skills that are merely installed or listed as available, or whose content reaches the context without an activation (preloaded, hook-injected, or read as a plain file), are not counted. Approximate (HLL, typical error <2%) in date-range mode. Null on aggregated rows where a distinct count cannot be computed. ### Beta Analytics Token Type - `type BetaAnalyticsTokenType = "cache_creation.ephemeral_1h_input_tokens" | "cache_creation.ephemeral_5m_input_tokens" | "cache_read_input_tokens" | 2 more` - `"cache_creation.ephemeral_1h_input_tokens"` - `"cache_creation.ephemeral_5m_input_tokens"` - `"cache_read_input_tokens"` - `"output_tokens"` - `"uncached_input_tokens"` ### Beta Analytics Tool Action Counts - `interface BetaAnalyticsToolActionCounts` Accepted/rejected counts for a single Claude Code tool type. - `accepted_count: number` Number of tool proposals accepted - `rejected_count: number` Number of tool proposals rejected ### Beta Analytics Tool Actions - `interface BetaAnalyticsToolActions` Per-tool accepted/rejected counts for Claude Code file modification tools. - `edit_tool: BetaAnalyticsToolActionCounts` Accepted/rejected counts for a single Claude Code tool type. - `accepted_count: number` Number of tool proposals accepted - `rejected_count: number` Number of tool proposals rejected - `multi_edit_tool: BetaAnalyticsToolActionCounts` Accepted/rejected counts for a single Claude Code tool type. - `notebook_edit_tool: BetaAnalyticsToolActionCounts` Accepted/rejected counts for a single Claude Code tool type. - `write_tool: BetaAnalyticsToolActionCounts` Accepted/rejected counts for a single Claude Code tool type. ### Beta Analytics Usage Bucketed Result - `interface BetaAnalyticsUsageBucketedResult` - `cache_creation: BetaCacheCreation` The number of input tokens for cache creation. - `ephemeral_1h_input_tokens: number` The number of input tokens used to create the 1 hour cache entry. default: 0, minimum: 0 - `ephemeral_5m_input_tokens: number` The number of input tokens used to create the 5 minute cache entry. default: 0, minimum: 0 - `cache_read_input_tokens: number` The number of input tokens read from the cache. - `claude_tag_category: BetaAnalyticsClaudeTagCategory | null` Claude Tag (Claude in Slack) spend category: `engaged` (a person addressed Claude in a channel or thread), `proactive` (Claude responded without being addressed), `scheduled` (a scheduled routine ran), `monitoring` (Claude watching a channel it was asked to monitor), or `dm` (direct messages with Claude). Populated only when `claude_tag_category` is in `group_by[]`; null for usage that is not Claude Tag. Direct-message usage is billed to the individual user and is reported under that user's product, not under `claude-tag`. New categories may be added over time. - `"dm"` - `"engaged"` - `"monitoring"` - `"proactive"` - `"scheduled"` - `claude_tag_user_id: string | null` Slack user ID (for example `U0123ABCDEF`) of the member the Claude Tag (Claude in Slack) usage is attributed to, not a claude.ai user ID. Populated only when `claude_tag_user_id` is in `group_by[]`; null for usage that is not Claude Tag and for Claude Tag usage that is not attributed to a single user (for example `monitoring`, and `proactive` usage Claude initiated), so per-user rows can sum to less than the Claude Tag total. Cannot be combined with `group_by[]=rbac_group_id` or the `rbac_group_ids[]` filter. - `context_window: BetaAnalyticsContextWindow | null` Context-window pricing tier of the usage or cost. Null unless `context_window` is in `group_by[]`; it can also be null on grouped rows with no context-window tier, such as code execution. - `"0-200k"` - `"200k-1M"` - `inference_geo: "global" | "us" | null` Inference region of the usage or cost. Null unless `inference_geo` is in `group_by[]`; it can also be null on grouped rows where the region is not set (the rows that `inference_geos[]=not_available` matches). - `"global"` - `"us"` - `model: string | null` Model that produced the usage or cost, as a model name in the form the `models[]` filter accepts (for example, `claude-opus-5`). Null unless `model` is in `group_by[]`; it can also be null on grouped rows whose usage or cost is not attributed to a specific model, such as code execution. - `output_tokens: number` The number of output tokens generated. - `product: string | null` Product surface that produced the usage or cost. Null unless product is in `group_by[]`; it can also be null on grouped rows whose usage cannot be attributed to a known surface. Values include `chat`, `claude_code`, `cowork`, `office_agent`, `claude_in_chrome`, `claude_design`, `claude-tag`, and `chat_cowork_unified`. `claude-tag` is Claude Tag, the Claude product in Slack. `chat_cowork_unified` is Chat and Cowork unified, Cowork's features inside claude.ai chat: chat and Cowork usage by a member who has it turned on is reported under this value instead of `chat` or `cowork`. It is accepted as a filter only on deployments that offer Chat and Cowork unified. Some unattributed usage is reported as "other". - `rbac_group_id: string | null` RBAC group (team) the usage is attributed to, in the public tagged `rbac_group_...` spelling — the same spelling the activity resources use for this key, so the same team has one id across resources and it round-trips as an `rbac_group_ids[]` filter value. Populated only when `rbac_group_id` is in `group_by[]`. Any-membership semantics: a user in several groups contributes their full usage to each of those groups' rows, so the named-group rows overlap and their sum can exceed the org total. A null value is the single unassigned row: users in no group on that (UTC) day. For the true org total, run the same query without `group_by[]`. - `requests: number | null` Number of API requests in this row's scope. For sandbox / code-execution events, this counts execution spans rather than HTTP requests (these rows surface with `product: null`). - `server_tool_use: BetaAnalyticsServerToolUse` Server-side tool usage metrics. - `web_search_requests: number` The number of web search requests made. - `slack_channel_id: string | null` Slack channel the usage originated from. Populated only when `slack_channel_id` is in `group_by[]`; null for usage outside Slack (and for rows recorded before channel attribution was enabled). - `speed: "fast" | "standard" | null` Inference speed mode of the usage or cost: `fast` or `standard`. Null unless `speed` is in `group_by[]`. - `"fast"` - `"standard"` - `uncached_input_tokens: number` The number of uncached input tokens processed. ### Beta Analytics Usage Report Time Bucket - `interface BetaAnalyticsUsageReportTimeBucket` - `ending_at: string` End of the time bucket (exclusive) in RFC 3339 format. format: date-time - `results: Array` Rows for this time bucket. Empty when the bucket has no data; otherwise a single combined row when `group_by[]` is omitted, or one row per group (subject to the per-bucket group cap described on the `group_by[]` parameter). - `cache_creation: BetaCacheCreation` The number of input tokens for cache creation. - `ephemeral_1h_input_tokens: number` The number of input tokens used to create the 1 hour cache entry. default: 0, minimum: 0 - `ephemeral_5m_input_tokens: number` The number of input tokens used to create the 5 minute cache entry. default: 0, minimum: 0 - `cache_read_input_tokens: number` The number of input tokens read from the cache. - `claude_tag_category: BetaAnalyticsClaudeTagCategory | null` Claude Tag (Claude in Slack) spend category: `engaged` (a person addressed Claude in a channel or thread), `proactive` (Claude responded without being addressed), `scheduled` (a scheduled routine ran), `monitoring` (Claude watching a channel it was asked to monitor), or `dm` (direct messages with Claude). Populated only when `claude_tag_category` is in `group_by[]`; null for usage that is not Claude Tag. Direct-message usage is billed to the individual user and is reported under that user's product, not under `claude-tag`. New categories may be added over time. - `"dm"` - `"engaged"` - `"monitoring"` - `"proactive"` - `"scheduled"` - `claude_tag_user_id: string | null` Slack user ID (for example `U0123ABCDEF`) of the member the Claude Tag (Claude in Slack) usage is attributed to, not a claude.ai user ID. Populated only when `claude_tag_user_id` is in `group_by[]`; null for usage that is not Claude Tag and for Claude Tag usage that is not attributed to a single user (for example `monitoring`, and `proactive` usage Claude initiated), so per-user rows can sum to less than the Claude Tag total. Cannot be combined with `group_by[]=rbac_group_id` or the `rbac_group_ids[]` filter. - `context_window: BetaAnalyticsContextWindow | null` Context-window pricing tier of the usage or cost. Null unless `context_window` is in `group_by[]`; it can also be null on grouped rows with no context-window tier, such as code execution. - `"0-200k"` - `"200k-1M"` - `inference_geo: "global" | "us" | null` Inference region of the usage or cost. Null unless `inference_geo` is in `group_by[]`; it can also be null on grouped rows where the region is not set (the rows that `inference_geos[]=not_available` matches). - `"global"` - `"us"` - `model: string | null` Model that produced the usage or cost, as a model name in the form the `models[]` filter accepts (for example, `claude-opus-5`). Null unless `model` is in `group_by[]`; it can also be null on grouped rows whose usage or cost is not attributed to a specific model, such as code execution. - `output_tokens: number` The number of output tokens generated. - `product: string | null` Product surface that produced the usage or cost. Null unless product is in `group_by[]`; it can also be null on grouped rows whose usage cannot be attributed to a known surface. Values include `chat`, `claude_code`, `cowork`, `office_agent`, `claude_in_chrome`, `claude_design`, `claude-tag`, and `chat_cowork_unified`. `claude-tag` is Claude Tag, the Claude product in Slack. `chat_cowork_unified` is Chat and Cowork unified, Cowork's features inside claude.ai chat: chat and Cowork usage by a member who has it turned on is reported under this value instead of `chat` or `cowork`. It is accepted as a filter only on deployments that offer Chat and Cowork unified. Some unattributed usage is reported as "other". - `rbac_group_id: string | null` RBAC group (team) the usage is attributed to, in the public tagged `rbac_group_...` spelling — the same spelling the activity resources use for this key, so the same team has one id across resources and it round-trips as an `rbac_group_ids[]` filter value. Populated only when `rbac_group_id` is in `group_by[]`. Any-membership semantics: a user in several groups contributes their full usage to each of those groups' rows, so the named-group rows overlap and their sum can exceed the org total. A null value is the single unassigned row: users in no group on that (UTC) day. For the true org total, run the same query without `group_by[]`. - `requests: number | null` Number of API requests in this row's scope. For sandbox / code-execution events, this counts execution spans rather than HTTP requests (these rows surface with `product: null`). - `server_tool_use: BetaAnalyticsServerToolUse` Server-side tool usage metrics. - `web_search_requests: number` The number of web search requests made. - `slack_channel_id: string | null` Slack channel the usage originated from. Populated only when `slack_channel_id` is in `group_by[]`; null for usage outside Slack (and for rows recorded before channel attribution was enabled). - `speed: "fast" | "standard" | null` Inference speed mode of the usage or cost: `fast` or `standard`. Null unless `speed` is in `group_by[]`. - `"fast"` - `"standard"` - `uncached_input_tokens: number` The number of uncached input tokens processed. - `starting_at: string` Start of the time bucket (inclusive) in RFC 3339 format. format: date-time ### Beta Analytics Usage Users Item - `interface BetaAnalyticsUsageUsersItem` - `actor: BetaAnalyticsUserActor` The user this row's usage or cost is attributed to. Always a `user_actor`. - `type: "user_actor"` Actor type. Always `"user_actor"`. - `deleted: boolean` True when the account has been deleted, or when the user is no longer a member of the organization or its associated organizations (for example, their membership was removed or they were deprovisioned via your identity provider). `email_address` stays populated for removed users and is null when the account has been deleted. `name` follows the rules described on that field. The `user_id` is still populated for reconciliation. - `email_address: string | null` The user's email address, including for users who are no longer members of the organization or its associated organizations. Null when the account has been deleted (check `deleted`) and for system-minted service accounts, which have no person's mailbox behind them (check `name`). - `name: string | null` The user's full name. Null when the user has not set a name. Returns `"Deleted User"` when the account itself has been deleted, or when the user is no longer a member of the organization or its associated organizations and the organization has chosen to hide the names of removed users. Otherwise, the name stays populated for removed users. Rows for system-minted service accounts render the service name (for example, `"Claude Security"` for usage by Anthropic's security-patching service) or null. - `user_id: string` Tagged user ID. - `cache_creation: BetaCacheCreation` The number of input tokens for cache creation. - `ephemeral_1h_input_tokens: number` The number of input tokens used to create the 1 hour cache entry. default: 0, minimum: 0 - `ephemeral_5m_input_tokens: number` The number of input tokens used to create the 5 minute cache entry. default: 0, minimum: 0 - `cache_read_input_tokens: number` The number of input tokens read from the cache. - `claude_tag_category: BetaAnalyticsClaudeTagCategory | null` Claude Tag (Claude in Slack) spend category: `engaged` (a person addressed Claude in a channel or thread), `proactive` (Claude responded without being addressed), `scheduled` (a scheduled routine ran), `monitoring` (Claude watching a channel it was asked to monitor), or `dm` (direct messages with Claude). Populated only when `claude_tag_category` is in `group_by[]`; null for usage that is not Claude Tag. Direct-message usage is billed to the individual user and is reported under that user's product, not under `claude-tag`. New categories may be added over time. - `"dm"` - `"engaged"` - `"monitoring"` - `"proactive"` - `"scheduled"` - `claude_tag_user_id: string | null` Slack user ID (for example `U0123ABCDEF`) of the member the Claude Tag (Claude in Slack) usage is attributed to, not a claude.ai user ID. Populated only when `claude_tag_user_id` is in `group_by[]`; null for usage that is not Claude Tag and for Claude Tag usage that is not attributed to a single user (for example `monitoring`, and `proactive` usage Claude initiated), so per-user rows can sum to less than the Claude Tag total. Cannot be combined with `group_by[]=rbac_group_id` or the `rbac_group_ids[]` filter. - `context_window: BetaAnalyticsContextWindow | null` Context-window pricing tier of the usage or cost. Null unless `context_window` is in `group_by[]`; it can also be null on grouped rows with no context-window tier, such as code execution. - `"0-200k"` - `"200k-1M"` - `ending_at: string | null` End of the row's UTC time bucket (exclusive), as an RFC 3339 timestamp; equal to `starting_at` plus one `bucket_width`. Null unless `bucket_width` is set. format: date-time - `inference_geo: "global" | "us" | null` Inference region of the usage or cost. Null unless `inference_geo` is in `group_by[]`; it can also be null on grouped rows where the region is not set (the rows that `inference_geos[]=not_available` matches). - `"global"` - `"us"` - `model: string | null` Model that produced the usage or cost, as a model name in the form the `models[]` filter accepts (for example, `claude-opus-5`). Null unless `model` is in `group_by[]`; it can also be null on grouped rows whose usage or cost is not attributed to a specific model, such as code execution. - `output_tokens: number` The number of output tokens generated. - `product: string | null` Product surface that produced the usage or cost. Null unless product is in `group_by[]`; it can also be null on grouped rows whose usage cannot be attributed to a known surface. Values include `chat`, `claude_code`, `cowork`, `office_agent`, `claude_in_chrome`, `claude_design`, `claude-tag`, and `chat_cowork_unified`. `claude-tag` is Claude Tag, the Claude product in Slack. `chat_cowork_unified` is Chat and Cowork unified, Cowork's features inside claude.ai chat: chat and Cowork usage by a member who has it turned on is reported under this value instead of `chat` or `cowork`. It is accepted as a filter only on deployments that offer Chat and Cowork unified. Some unattributed usage is reported as "other". - `rbac_group_id: string | null` RBAC group (team) the usage is attributed to, in the public tagged `rbac_group_...` spelling — the same spelling the activity resources use for this key, so the same team has one id across resources and it round-trips as an `rbac_group_ids[]` filter value. Populated only when `rbac_group_id` is in `group_by[]`. Any-membership semantics: a user in several groups contributes their full usage to each of those groups' rows, so the named-group rows overlap and their sum can exceed the org total. A null value is the single unassigned row: users in no group on that (UTC) day. For the true org total, run the same query without `group_by[]`. - `requests: number | null` Number of API requests in this row's scope. For sandbox / code-execution events, this counts execution spans rather than HTTP requests (these rows surface with `product: null`). - `server_tool_use: BetaAnalyticsServerToolUse` Server-side tool usage metrics. - `web_search_requests: number` The number of web search requests made. - `slack_channel_id: string | null` Slack channel the usage originated from. Populated only when `slack_channel_id` is in `group_by[]`; null for usage outside Slack (and for rows recorded before channel attribution was enabled). - `speed: "fast" | "standard" | null` Inference speed mode of the usage or cost: `fast` or `standard`. Null unless `speed` is in `group_by[]`. - `"fast"` - `"standard"` - `starting_at: string | null` Start of the row's UTC time bucket (inclusive), as an RFC 3339 timestamp. Null unless `bucket_width` is set; without `bucket_width`, each row aggregates the full requested range. format: date-time - `total_tokens: number` Total token count across all token types. This is the value the default `order_by` (`total_tokens`) sorts on. - `uncached_input_tokens: number` The number of uncached input tokens processed. ### Beta Analytics User - `interface BetaAnalyticsUser` A user in the organization, identified by tagged id and email address. - `type: "user"` Object type. Always `user`. default: user - `id: string` Tagged user identifier (e.g. `user_...`) - `email_address: string` Email address of the user ### Beta Analytics User Activity - `interface BetaAnalyticsUserActivity` Per-user activity data for a given day. - `chat_metrics: BetaAnalyticsChatMetrics` Claude.ai activity metrics for a single user on a given day. - `connectors_used_count: number` Number of MCP connector invocations. - `distinct_artifacts_created_count: number` Number of distinct artifacts created. Exact in date-range mode: a creation belongs to exactly one day, so the per-day counts never overlap and their sum over the window is the exact count of distinct creations in it. - `distinct_connectors_used_count: number | null` Distinct claude.ai connectors this user used. Excludes calls whose connector could not be identified and all calls from organizations with zero data retention. Approximate (HLL, typical error <2%) in date-range mode. Null on aggregated rows where a distinct count cannot be computed. - `distinct_conversation_count: number | null` Number of distinct conversations the user participated in. Approximate (HLL, typical error <2%) in date-range mode. Null on aggregated rows where a distinct count cannot be computed. - `distinct_files_uploaded_count: number | null` Number of distinct files uploaded. Approximate (HLL, typical error <2%) in date-range mode. Null on aggregated rows where a distinct count cannot be computed. - `distinct_projects_created_count: number` Number of distinct projects created. Exact in date-range mode: a creation belongs to exactly one day, so the per-day counts never overlap and their sum over the window is the exact count of distinct creations in it. - `distinct_projects_used_count: number | null` Number of distinct projects used. Approximate (HLL, typical error <2%) in date-range mode. Null on aggregated rows where a distinct count cannot be computed. - `distinct_shared_artifacts_viewed_count: number | null` Number of distinct shared artifacts the user viewed. Approximate (HLL, typical error <2%) in date-range mode. Null on aggregated rows where a distinct count cannot be computed. - `distinct_skills_used_count: number | null` Number of distinct skills used. Approximate (HLL, typical error <2%) in date-range mode. Null on aggregated rows where a distinct count cannot be computed. - `message_count: number` Number of messages sent - `shared_conversations_viewed_count: number` Number of times the user opened a shared conversation in a project - `thinking_message_count: number` Number of messages that used extended thinking - `claude_code_metrics: BetaAnalyticsClaudeCodeMetrics` Claude Code activity metrics for a single user on a given day. - `core_metrics: BetaAnalyticsCoreCodeMetrics` Core Claude Code activity metrics for a single user on a given day. - `artifacts_created_count: number` Number of artifacts created in Claude Code sessions: an artifact counts once, on the day a session first saves it. Counted from 2026-08-17; 0 on earlier days. Exact in date-range mode: a creation belongs to exactly one day, so the per-day counts never overlap and their sum over the window is the exact count of distinct creations in it. - `commit_count: number` Number of commits made via Claude Code - `distinct_session_count: number | null` Number of distinct Claude Code sessions. On aggregated rows and in date-range mode: summed per-day distinct counts. A session essentially never spans a UTC day, so the sum is in practice the true distinct count. - `lines_of_code: BetaAnalyticsLinesOfCode` Lines of code added and removed via Claude Code. - `added_count: number` Lines of code added - `removed_count: number` Lines of code removed - `pull_request_count: number` Number of pull requests created via Claude Code - `tool_actions: BetaAnalyticsToolActions` Per-tool accepted/rejected counts for Claude Code file modification tools. - `edit_tool: BetaAnalyticsToolActionCounts` Accepted/rejected counts for a single Claude Code tool type. - `accepted_count: number` Number of tool proposals accepted - `rejected_count: number` Number of tool proposals rejected - `multi_edit_tool: BetaAnalyticsToolActionCounts` Accepted/rejected counts for a single Claude Code tool type. - `notebook_edit_tool: BetaAnalyticsToolActionCounts` Accepted/rejected counts for a single Claude Code tool type. - `write_tool: BetaAnalyticsToolActionCounts` Accepted/rejected counts for a single Claude Code tool type. - `cowork_metrics: BetaAnalyticsCoworkMetrics` Cowork activity metrics for a single user on a given day. - `action_count: number` Number of tool actions completed in Cowork sessions - `artifacts_created_count: number` Number of artifacts created in Cowork sessions: an artifact counts once, on the day a session first saves it. Counted from 2026-08-17; 0 on earlier days. Exact in date-range mode: a creation belongs to exactly one day, so the per-day counts never overlap and their sum over the window is the exact count of distinct creations in it. - `connectors_used_count: number` Total number of connector invocations in Cowork sessions - `dispatch_turn_count: number` Number of Dispatch (background agent) turns completed - `distinct_connectors_used_count: number | null` Number of distinct connectors used in Cowork sessions. Approximate (HLL, typical error <2%) in date-range mode. Null on aggregated rows where a distinct count cannot be computed. - `distinct_session_count: number | null` Number of distinct Cowork sessions. Approximate (HLL, typical error <2%) in date-range mode. Null on aggregated rows where a distinct count cannot be computed. - `distinct_skills_used_count: number | null` Number of distinct skills used in Cowork sessions. Approximate (HLL, typical error <2%) in date-range mode. Null on aggregated rows where a distinct count cannot be computed. - `message_count: number` Number of messages sent in Cowork sessions - `skills_used_count: number` Total number of skill invocations in Cowork sessions - `distinct_plugins_used_count?: number | null` Number of distinct plugins used in Cowork sessions. Null while Cowork plugin-use metrics are not enabled for this organization. Approximate (HLL, typical error <2%) in date-range mode. Null on aggregated rows where a distinct count cannot be computed. - `edit_tool_count?: number | null` Number of successful Edit tool calls in Cowork sessions. Null while the file-edit metrics are not enabled for this organization. - `file_edit_count?: number | null` Number of successful file-edit tool calls (Edit, MultiEdit, Write, NotebookEdit) in Cowork sessions. Null, never 0, while the file-edit metrics are not enabled for this organization. - `multi_edit_tool_count?: number | null` Number of successful MultiEdit tool calls in Cowork sessions. Null while the file-edit metrics are not enabled for this organization. - `notebook_edit_tool_count?: number | null` Number of successful NotebookEdit tool calls in Cowork sessions. Null while the file-edit metrics are not enabled for this organization. - `plugins_used_count?: number | null` Total number of plugin invocations in Cowork sessions. Null while Cowork plugin-use metrics are not enabled for this organization. - `sessions_with_file_edits_count?: number | null` Number of distinct Cowork sessions with at least one successful file-edit tool call. Null while the file-edit metrics are not enabled for this organization. Approximate (HLL, typical error <2%) in date-range mode. Null on aggregated rows where a distinct count cannot be computed. - `write_tool_count?: number | null` Number of successful Write tool calls in Cowork sessions. Null while the file-edit metrics are not enabled for this organization. - `design_metrics: BetaAnalyticsDesignMetrics` Claude Design activity metrics for a single user on a given day. - `distinct_projects_created_count: number` Number of distinct Claude Design projects created. Exact in date-range mode: a creation belongs to exactly one day, so the per-day counts never overlap and their sum over the window is the exact count of distinct creations in it. - `distinct_projects_used_count: number | null` Number of distinct Claude Design projects the user worked in. Approximate (HLL, typical error <2%) in date-range mode. Null on aggregated rows where a distinct count cannot be computed. - `distinct_session_count: number | null` Number of distinct Claude Design sessions. Approximate (HLL, typical error <2%) in date-range mode. Null on aggregated rows where a distinct count cannot be computed. - `message_count: number` Number of messages sent in Claude Design sessions - `office_metrics: BetaAnalyticsOfficeMetrics` Office Agent activity metrics for a single user on a given day, broken out by Office product. - `excel: BetaAnalyticsOfficeProductMetrics` Office Agent activity metrics for a single user on a given day within one Office product. - `connectors_used_count: number` Number of MCP connector invocations - `distinct_connectors_used_count: number | null` Number of distinct MCP connectors used. Approximate (HLL, typical error <2%) in date-range mode. Null on aggregated rows where a distinct count cannot be computed. - `distinct_session_count: number | null` Number of distinct Office Agent sessions. Approximate (HLL, typical error <2%) in date-range mode. Null on aggregated rows where a distinct count cannot be computed. - `distinct_skills_used_count: number | null` Number of distinct skills used. Approximate (HLL, typical error <2%) in date-range mode. Null on aggregated rows where a distinct count cannot be computed. - `message_count: number` Number of messages sent - `skills_used_count: number` Number of skill invocations - `outlook: BetaAnalyticsOfficeProductMetrics` Office Agent activity metrics for a single user on a given day within one Office product. - `powerpoint: BetaAnalyticsOfficeProductMetrics` Office Agent activity metrics for a single user on a given day within one Office product. - `word: BetaAnalyticsOfficeProductMetrics` Office Agent activity metrics for a single user on a given day within one Office product. - `science_metrics: BetaAnalyticsScienceMetrics` Claude Science activity metrics for a single user on a given day. - `delegation_count: number` Number of delegations (handoffs to a specialized agent) in Claude Science sessions - `distinct_session_count: number | null` Number of distinct Claude Science sessions. Approximate (HLL, typical error <2%) in date-range mode. Null on aggregated rows where a distinct count cannot be computed. - `message_count: number` Number of messages sent in Claude Science sessions - `remote_compute_job_count: number` Number of remote compute jobs launched from Claude Science sessions - `skills_used_count: number` Total number of skill invocations in Claude Science sessions - `web_search_count: number` Number of web searches performed - `chat_cowork_unified_metrics?: ChatCoworkUnifiedMetrics | null` Activity recorded while the member had Chat and Cowork unified (Cowork's features inside claude.ai chat) turned on, split into `chat` (chat activity) and `sessions` (Cowork activity). Omitted from the response on deployments that do not offer Chat and Cowork unified. - `chat: BetaAnalyticsChatCoworkUnifiedChatMetrics` Chat activity recorded while members had Chat and Cowork unified turned on. - `connectors_used_count: number` Same measure as `chat_metrics.connectors_used_count`, for activity recorded while members had Chat and Cowork unified turned on. - `distinct_artifacts_created_count: number` Same measure as `chat_metrics.distinct_artifacts_created_count`, for activity recorded while members had Chat and Cowork unified turned on. Exact in date-range mode: a creation belongs to exactly one day, so the per-day counts never overlap and their sum over the window is the exact count of distinct creations in it. - `distinct_connectors_used_count: number | null` Same measure as `chat_metrics.distinct_connectors_used_count`, for activity recorded while members had Chat and Cowork unified turned on. Approximate (HLL, typical error <2%) in date-range mode. Null on aggregated rows where a distinct count cannot be computed. - `distinct_conversation_count: number | null` Same measure as `chat_metrics.distinct_conversation_count`, for activity recorded while members had Chat and Cowork unified turned on. Approximate (HLL, typical error <2%) in date-range mode. Null on aggregated rows where a distinct count cannot be computed. - `distinct_files_uploaded_count: number | null` Same measure as `chat_metrics.distinct_files_uploaded_count`, for activity recorded while members had Chat and Cowork unified turned on. It counts uploaded files as well as files Claude created and images returned by Claude's tools, such as screenshots. Approximate (HLL, typical error <2%) in date-range mode. Null on aggregated rows where a distinct count cannot be computed. - `distinct_projects_created_count: number` Same measure as `chat_metrics.distinct_projects_created_count`, for activity recorded while members had Chat and Cowork unified turned on. Exact in date-range mode: a creation belongs to exactly one day, so the per-day counts never overlap and their sum over the window is the exact count of distinct creations in it. - `distinct_projects_used_count: number | null` Same measure as `chat_metrics.distinct_projects_used_count`, for activity recorded while members had Chat and Cowork unified turned on. Approximate (HLL, typical error <2%) in date-range mode. Null on aggregated rows where a distinct count cannot be computed. - `distinct_shared_artifacts_viewed_count: number | null` Always null: shared-artifact views are not currently measured. - `distinct_skills_used_count: number | null` Same measure as `chat_metrics.distinct_skills_used_count`, for activity recorded while members had Chat and Cowork unified turned on. Approximate (HLL, typical error <2%) in date-range mode. Null on aggregated rows where a distinct count cannot be computed. - `message_count: number` Same measure as `chat_metrics.message_count`, for activity recorded while members had Chat and Cowork unified turned on. - `shared_conversations_viewed_count: number` Same measure as `chat_metrics.shared_conversations_viewed_count`, for activity recorded while members had Chat and Cowork unified turned on. - `thinking_message_count: number` Same measure as `chat_metrics.thinking_message_count`, for activity recorded while members had Chat and Cowork unified turned on. - `sessions: BetaAnalyticsChatCoworkUnifiedSessionsMetrics` Cowork session activity recorded while members had Chat and Cowork unified turned on. - `action_count: number` Same measure as `cowork_metrics.action_count`, for activity recorded while members had Chat and Cowork unified turned on. - `artifacts_created_count: number` Same measure as `cowork_metrics.artifacts_created_count`, for activity recorded while members had Chat and Cowork unified turned on. Exact in date-range mode: a creation belongs to exactly one day, so the per-day counts never overlap and their sum over the window is the exact count of distinct creations in it. - `connectors_used_count: number` Same measure as `cowork_metrics.connectors_used_count`, for activity recorded while members had Chat and Cowork unified turned on. - `dispatch_turn_count: number` Same measure as `cowork_metrics.dispatch_turn_count`, for activity recorded while members had Chat and Cowork unified turned on. - `distinct_connectors_used_count: number | null` Same measure as `cowork_metrics.distinct_connectors_used_count`, for activity recorded while members had Chat and Cowork unified turned on. Approximate (HLL, typical error <2%) in date-range mode. Null on aggregated rows where a distinct count cannot be computed. - `distinct_plugins_used_count: number | null` Same measure as `cowork_metrics.distinct_plugins_used_count`, for activity recorded while members had Chat and Cowork unified turned on. Approximate (HLL, typical error <2%) in date-range mode. Null on aggregated rows where a distinct count cannot be computed. - `distinct_session_count: number | null` Same measure as `cowork_metrics.distinct_session_count`, for activity recorded while members had Chat and Cowork unified turned on. Approximate (HLL, typical error <2%) in date-range mode. Null on aggregated rows where a distinct count cannot be computed. - `distinct_skills_used_count: number | null` Same measure as `cowork_metrics.distinct_skills_used_count`, for activity recorded while members had Chat and Cowork unified turned on. Approximate (HLL, typical error <2%) in date-range mode. Null on aggregated rows where a distinct count cannot be computed. - `edit_tool_count: number | null` Same measure as `cowork_metrics.edit_tool_count`, for activity recorded while members had Chat and Cowork unified turned on. - `file_edit_count: number | null` Same measure as `cowork_metrics.file_edit_count`, for activity recorded while members had Chat and Cowork unified turned on. - `message_count: number` Same measure as `cowork_metrics.message_count`, for activity recorded while members had Chat and Cowork unified turned on. - `multi_edit_tool_count: number | null` Same measure as `cowork_metrics.multi_edit_tool_count`, for activity recorded while members had Chat and Cowork unified turned on. Claude no longer has a multi-edit tool, so expect 0 when not null; each edit is now a separate Edit tool call, counted in `edit_tool_count` and `file_edit_count`. - `notebook_edit_tool_count: number | null` Same measure as `cowork_metrics.notebook_edit_tool_count`, for activity recorded while members had Chat and Cowork unified turned on. - `plugins_used_count: number | null` Same measure as `cowork_metrics.plugins_used_count`, for activity recorded while members had Chat and Cowork unified turned on. - `sessions_with_file_edits_count: number | null` Same measure as `cowork_metrics.sessions_with_file_edits_count`, for activity recorded while members had Chat and Cowork unified turned on. Approximate (HLL, typical error <2%) in date-range mode. Null on aggregated rows where a distinct count cannot be computed. - `skills_used_count: number` Same measure as `cowork_metrics.skills_used_count`, for activity recorded while members had Chat and Cowork unified turned on. - `write_tool_count: number | null` Same measure as `cowork_metrics.write_tool_count`, for activity recorded while members had Chat and Cowork unified turned on. - `distinct_user_count?: number | null` Number of distinct active users represented by this row. Only set for grouped rollups (`group_by[]`); null for per-user rows. In date-range mode, recomputed as an exact distinct count of the group's active members over the requested window, never a sum of per-day values. - `last_activity_date?: string | null` Most recent UTC day (YYYY-MM-DD) on which the user had any counted activity, within the requested window: equal to the requested `date` in single-day mode, and to the latest active day from `starting_date` (inclusive) to `ending_date` (exclusive) in date-range rollup mode — never a day earlier than the window start. On filtered requests (`filter[]`) only days matching the filter count: with `filter[]=rbac_group_id:{id}` it is the last day the user was active while a member of that group, consistent with the row's other metrics. On grouped (`group_by[]`) rows it is the latest day any member of the group was active (the requested `date` in single-day mode). Omitted from the response while last-activity reporting is not enabled for this organization. format: date - `rbac_group_id?: string | null` Tagged RBAC group identifier (`rbac_group_...`), matching the spend-limits API spelling. Present only when the request grouped by `rbac_group_id`. - `rbac_group_name?: string | null` Resolved RBAC group display name, alongside `rbac_group_id` when name resolution is available. Null if the group has been deleted or its name could not be resolved; `rbac_group_id` remains the stable key. - `user?: BetaAnalyticsUser | null` The user this row describes. Null on rows aggregated across users. - `type: "user"` Object type. Always `user`. default: user - `id: string` Tagged user identifier (e.g. `user_...`) - `email_address: string` Email address of the user ### Beta Analytics User Actor - `interface BetaAnalyticsUserActor` - `type: "user_actor"` Actor type. Always `"user_actor"`. - `deleted: boolean` True when the account has been deleted, or when the user is no longer a member of the organization or its associated organizations (for example, their membership was removed or they were deprovisioned via your identity provider). `email_address` stays populated for removed users and is null when the account has been deleted. `name` follows the rules described on that field. The `user_id` is still populated for reconciliation. - `email_address: string | null` The user's email address, including for users who are no longer members of the organization or its associated organizations. Null when the account has been deleted (check `deleted`) and for system-minted service accounts, which have no person's mailbox behind them (check `name`). - `name: string | null` The user's full name. Null when the user has not set a name. Returns `"Deleted User"` when the account itself has been deleted, or when the user is no longer a member of the organization or its associated organizations and the organization has chosen to hide the names of removed users. Otherwise, the name stays populated for removed users. Rows for system-minted service accounts render the service name (for example, `"Claude Security"` for usage by Anthropic's security-patching service) or null. - `user_id: string` Tagged user ID. ## Analytics › Summaries ### Get Activity Summaries `client.beta.organization.analytics.summaries.list(query, options?): PageCursor` **GET** `/v1/organizations/analytics/summaries` Get organization-wide activity summaries for a date range. Returns one entry per day from `starting_date` (inclusive) to `ending_date` (exclusive) in `data`, the same `data` / `next_page` envelope as the other analytics list endpoints; the series is currently returned in full, so `next_page` is always null. Data is typically available with a 1-day lag and may be revised by a few percent over the following days: when `ending_date` is omitted it defaults to the most recent available day + 1, so the last entry covers the most recent available day. The series can be scoped to an RBAC group via `filter[]=rbac_group_id:{id}`. Available to organizations on a Claude Enterprise plan. Requires an API key with the `read:analytics` scope. #### Parameters - `query: SummaryListParams` - `starting_date: string` (query parameter) UTC date in YYYY-MM-DD format. Start of the date range (inclusive). Data is typically available with a 1-day lag (varies by query; the error for a too-recent date names the latest available day) and may be revised by a few percent over the following days. No earlier than 2026-01-01. format: date - `ending_date?: string | null` (query parameter) UTC date in YYYY-MM-DD format. End of the date range (exclusive). Data is typically available with a 1-day lag, so this can be at most today — which is also the default when omitted, making the last entry cover the most recent available day. Data may be revised by a few percent over the following days. The range may span at most 366 days. format: date - `filter?: Array | null` (query parameter) Filters as `dimension:value`. Only `rbac_group_id` is supported (e.g. `filter[]=rbac_group_id:{id}`); repeat the param to OR across groups. Scopes the whole day series to members of the matching group(s), re-aggregated from member-level activity — org-wide seat/invite fields and the adoption rates derived from them are null on scoped rows. `rbac_group_id` accepts the tagged id (`rbac_group_...`, as emitted in responses and by the spend-limits API) or a bare group UUID, and matches users who held the group at any point during each UTC day (time-of-usage attribution). At most 100 entries. maxItems: 100 - `limit?: number | null` (query parameter) Number of results per page (1-1000, default 100). The day series (at most 366 entries) is currently returned in full in a single page, so `limit` does not yet shorten it. minimum: 1, maximum: 1000 - `page?: string | null` (query parameter) Opaque cursor from a previous response's `next_page` field. `next_page` is currently always null, so there is never a cursor to send. #### Returns - `interface BetaAnalyticsSingleDayActivitySummary` Per-day entry in the /summaries response. - `assigned_seat_count: number | null` Number of seats currently assigned to members. Null when the response is scoped to an RBAC group — seat assignment is org-wide and has no per-group analogue. - `cowork_daily_active_user_count: number` Number of users with Cowork activity on the requested day - `cowork_monthly_active_user_count: number` Number of users with Cowork activity in the 30-day rolling window - `cowork_weekly_active_user_count: number` Number of users with Cowork activity in the 7-day rolling window - `daily_active_user_count: number` Number of users with token consumption on the requested day - `daily_adoption_rate: number | null` Percentage of assigned seats with activity on the requested day (`DAU / assigned_seat_count * 100`). Null when the response is scoped to an RBAC group. - `ending_at: string` End of the aggregation period (exclusive), UTC midnight in RFC 3339 format (e.g. `2026-01-16T00:00:00Z`). format: date-time - `monthly_active_user_count: number` Number of users with token consumption in the 30-day rolling window - `monthly_adoption_rate: number | null` Percentage of assigned seats with activity in the 30-day rolling window (`MAU / assigned_seat_count * 100`). Null when the response is scoped to an RBAC group. - `pending_invite_count: number | null` Number of pending invitations to join the organization. Null when the response is scoped to an RBAC group. - `starting_at: string` Start of the aggregation period (inclusive), UTC midnight in RFC 3339 format (e.g. `2026-01-15T00:00:00Z`). format: date-time - `weekly_active_user_count: number` Number of users with token consumption in the 7-day rolling window - `weekly_adoption_rate: number | null` Percentage of assigned seats with activity in the 7-day rolling window (`WAU / assigned_seat_count * 100`). Null when the response is scoped to an RBAC group. - `chat_cowork_unified_daily_active_user_count?: number | null` Number of users with activity in Chat and Cowork unified on the requested day. Omitted from the response on deployments that do not offer Chat and Cowork unified. - `chat_cowork_unified_monthly_active_user_count?: number | null` Number of users with activity in Chat and Cowork unified in the 28-day rolling window (30 days when the request filters by `rbac_group_id`). Omitted from the response on deployments that do not offer Chat and Cowork unified. - `chat_cowork_unified_weekly_active_user_count?: number | null` Number of users with activity in Chat and Cowork unified in the 7-day rolling window. Omitted from the response on deployments that do not offer Chat and Cowork unified. - `chat_daily_active_user_count?: number | null` Number of users with claude.ai (chat) activity on the requested day. Omitted from the response while the per-product breakdown is not enabled for this organization. - `chat_monthly_active_user_count?: number | null` Number of users with claude.ai (chat) activity in the 30-day rolling window. Omitted from the response while the per-product breakdown is not enabled for this organization. - `chat_weekly_active_user_count?: number | null` Number of users with claude.ai (chat) activity in the 7-day rolling window. Omitted from the response while the per-product breakdown is not enabled for this organization. - `claude_code_daily_active_user_count?: number | null` Number of users with Claude Code activity on the requested day. Omitted from the response while the per-product breakdown is not enabled for this organization. - `claude_code_monthly_active_user_count?: number | null` Number of users with Claude Code activity in the 30-day rolling window. Omitted from the response while the per-product breakdown is not enabled for this organization. - `claude_code_weekly_active_user_count?: number | null` Number of users with Claude Code activity in the 7-day rolling window. Omitted from the response while the per-product breakdown is not enabled for this organization. - `claude_design_daily_active_user_count?: number | null` Number of users with Claude Design activity on the requested day. Omitted from the response while the per-product breakdown is not enabled for this organization. - `claude_design_monthly_active_user_count?: number | null` Number of users with Claude Design activity in the 30-day rolling window. Omitted from the response while the per-product breakdown is not enabled for this organization. - `claude_design_weekly_active_user_count?: number | null` Number of users with Claude Design activity in the 7-day rolling window. Omitted from the response while the per-product breakdown is not enabled for this organization. - `office_agent_daily_active_user_count?: number | null` Number of users with Claude in Office activity on the requested day. Omitted from the response while the per-product breakdown is not enabled for this organization. - `office_agent_monthly_active_user_count?: number | null` Number of users with Claude in Office activity in the 30-day rolling window. Omitted from the response while the per-product breakdown is not enabled for this organization. - `office_agent_weekly_active_user_count?: number | null` Number of users with Claude in Office activity in the 7-day rolling window. Omitted from the response while the per-product breakdown is not enabled for this organization. - `science_daily_active_user_count?: number | null` Number of users with Claude Science activity on the requested day. Omitted from the response while the per-product breakdown is not enabled for this organization. - `science_entitled_user_count?: number | null` Number of users with a Claude Science seat entitlement (per-seat RBAC) at the time of the daily snapshot. The funnel top; independent of the org-level Claude Science toggle. Null when the response is scoped to an RBAC group — entitlement is org-wide and has no per-group analogue. Omitted from the response while the per-product breakdown is not enabled for this organization. - `science_monthly_active_user_count?: number | null` Number of users with Claude Science activity in the 30-day rolling window. Omitted from the response while the per-product breakdown is not enabled for this organization. - `science_weekly_active_user_count?: number | null` Number of users with Claude Science activity in the 7-day rolling window. Omitted from the response while the per-product breakdown is not enabled for this organization. #### Example ```typescript import Anthropic from "@anthropic-ai/sdk"; const client = new Anthropic({ apiKey: process.env["ANTHROPIC_API_KEY"] // This is the default and can be omitted }); // Automatically fetches more pages as needed. for await (const betaAnalyticsSingleDayActivitySummary of client.beta.organization.analytics.summaries.list( { starting_date: "2019-12-27" } )) { console.log(betaAnalyticsSingleDayActivitySummary.assigned_seat_count); } ``` ##### Response (200) ```json { "data": [ { "assigned_seat_count": 0, "cowork_daily_active_user_count": 0, "cowork_monthly_active_user_count": 0, "cowork_weekly_active_user_count": 0, "daily_active_user_count": 0, "daily_adoption_rate": 0, "ending_at": "2019-12-27T18:11:19.117Z", "monthly_active_user_count": 0, "monthly_adoption_rate": 0, "pending_invite_count": 0, "starting_at": "2019-12-27T18:11:19.117Z", "weekly_active_user_count": 0, "weekly_adoption_rate": 0, "chat_cowork_unified_daily_active_user_count": 0, "chat_cowork_unified_monthly_active_user_count": 0, "chat_cowork_unified_weekly_active_user_count": 0, "chat_daily_active_user_count": 0, "chat_monthly_active_user_count": 0, "chat_weekly_active_user_count": 0, "claude_code_daily_active_user_count": 0, "claude_code_monthly_active_user_count": 0, "claude_code_weekly_active_user_count": 0, "claude_design_daily_active_user_count": 0, "claude_design_monthly_active_user_count": 0, "claude_design_weekly_active_user_count": 0, "office_agent_daily_active_user_count": 0, "office_agent_monthly_active_user_count": 0, "office_agent_weekly_active_user_count": 0, "science_daily_active_user_count": 0, "science_entitled_user_count": 0, "science_monthly_active_user_count": 0, "science_weekly_active_user_count": 0 } ], "next_page": "next_page", "summaries": [ { "assigned_seat_count": 0, "cowork_daily_active_user_count": 0, "cowork_monthly_active_user_count": 0, "cowork_weekly_active_user_count": 0, "daily_active_user_count": 0, "daily_adoption_rate": 0, "ending_at": "2019-12-27T18:11:19.117Z", "monthly_active_user_count": 0, "monthly_adoption_rate": 0, "pending_invite_count": 0, "starting_at": "2019-12-27T18:11:19.117Z", "weekly_active_user_count": 0, "weekly_adoption_rate": 0, "chat_cowork_unified_daily_active_user_count": 0, "chat_cowork_unified_monthly_active_user_count": 0, "chat_cowork_unified_weekly_active_user_count": 0, "chat_daily_active_user_count": 0, "chat_monthly_active_user_count": 0, "chat_weekly_active_user_count": 0, "claude_code_daily_active_user_count": 0, "claude_code_monthly_active_user_count": 0, "claude_code_weekly_active_user_count": 0, "claude_design_daily_active_user_count": 0, "claude_design_monthly_active_user_count": 0, "claude_design_weekly_active_user_count": 0, "office_agent_daily_active_user_count": 0, "office_agent_monthly_active_user_count": 0, "office_agent_weekly_active_user_count": 0, "science_daily_active_user_count": 0, "science_entitled_user_count": 0, "science_monthly_active_user_count": 0, "science_weekly_active_user_count": 0 } ] } ``` ## Analytics › Users ### List User Activity `client.beta.organization.analytics.users.list(query?, options?): PageCursor` **GET** `/v1/organizations/analytics/users` Get per-user activity for a given day, with cursor-based pagination. Returns activity metrics for each user in the organization, sorted by email address. Use `group_by[]` for per-RBAC-group aggregates, or `filter[]` to scope results to specific members, groups, or a chat project. Available to organizations on a Claude Enterprise plan. Requires an API key with the `read:analytics` scope. #### Parameters - `query: UserListParams` - `date?: string | null` (query parameter) UTC date in YYYY-MM-DD format. The day to get user activity for. Data is typically available with a 1-day lag (varies by query; the error for a too-recent date names the latest available day) and may be revised by a few percent over the following days. No earlier than 2026-01-01. format: date - `ending_date?: string | null` (query parameter) UTC date in YYYY-MM-DD format. End of the date range (exclusive); only valid with `starting_date`. Data is typically available with a 1-day lag (varies by query; the error for a too-recent date names the latest available day), so this can be at most today — which is also the default when omitted, resolved once when the first page is served and reused for the rest of the pagination sequence. At most 366 days after `starting_date`. format: date - `filter?: Array | null` (query parameter) Filters as `dimension:value`, e.g. `filter[]=rbac_group_id:{id}`. Repeat the param for OR within a dimension and across dimensions for AND. Supported dimensions on this endpoint: `project_id`, `rbac_group_id`, `user_id`. Value forms: `project_id` takes a tagged project id (`claude_proj_...`); `rbac_group_id` takes the tagged id (`rbac_group_...`, as emitted in responses and by the spend-limits API) or a bare group UUID, and matches users who held the group at any point during each covered UTC day (time-of-usage attribution); `user_id` takes a tagged user id (`user_...`), as emitted in responses. An unsupported dimension returns 400. At most 100 entries. A `project_id` filter limits each member's row to their claude.ai chat activity in that project and cannot be combined with `group_by[]` or an `rbac_group_id` filter. On these rows, every count in `chat_cowork_unified_metrics.sessions` is 0, because sessions are not measured per project. On any day a member sent a chat message in Chat and Cowork unified, all of that member's project activity for the day is counted in `chat_cowork_unified_metrics.chat` instead of `chat_metrics`. maxItems: 100 - `group_by?: Array<"rbac_group_id"> | null` (query parameter) Dimensions to break results out by (e.g. `group_by[]=rbac_group_id`). Supported on this endpoint: `rbac_group_id`. Rows are already per-member, so the one supported grouping aggregates them per RBAC group instead. Grouped rows carry the requested dimension values as additional fields and paginate like ungrouped responses via `next_page`; an unsupported dimension returns 400. `rbac_group_id` attributes a user to every group they held at any point during each covered UTC day, so grouped rows are not an exclusive partition and can sum above org-level totals. At most 100 entries. maxItems: 100 - `limit?: number | null` (query parameter) Number of results per page (1-1000, default 100). minimum: 1, maximum: 1000 - `order?: "asc" | "desc" | null` (query parameter) Sort direction: `asc` or `desc`. Defaults to `asc` for the endpoint's sort column and to `desc` when `order_by` names a metric (a top-N ranking). Applies to `order_by`, or to the endpoint's default sort field when `order_by` is omitted. - `"asc"` - `"desc"` - `order_by?: string | null` (query parameter) Sort field. Restricted to the endpoint's sort column plus its rankable metrics (metrics default to descending; a few metrics rank in date-range mode only, per the endpoint's documented orderable set). - `page?: string | null` (query parameter) Opaque cursor from a previous response's `next_page` field. - `starting_date?: string | null` (query parameter) UTC date in YYYY-MM-DD format. Start of a date range (inclusive). Enables rollup mode: one row per entity aggregated over the whole range — addable counters are summed across days, and a distinct count is never summed where summing could double-count (a field's range value is recomputed exactly over the window, approximate via HLL with typical error under 2%, null, or — for the creation-event counts, whose per-day values cannot overlap — a per-day sum that is itself exact; each field's own description says which). Use either `date` or `starting_date`, not both. Data is typically available with a 1-day lag (varies by query; the error for a too-recent date names the latest available day) and may be revised by a few percent over the following days. No earlier than 2026-01-01. format: date #### Returns - `interface BetaAnalyticsUserActivity` Per-user activity data for a given day. - `chat_metrics: BetaAnalyticsChatMetrics` Claude.ai activity metrics for a single user on a given day. - `connectors_used_count: number` Number of MCP connector invocations. - `distinct_artifacts_created_count: number` Number of distinct artifacts created. Exact in date-range mode: a creation belongs to exactly one day, so the per-day counts never overlap and their sum over the window is the exact count of distinct creations in it. - `distinct_connectors_used_count: number | null` Distinct claude.ai connectors this user used. Excludes calls whose connector could not be identified and all calls from organizations with zero data retention. Approximate (HLL, typical error <2%) in date-range mode. Null on aggregated rows where a distinct count cannot be computed. - `distinct_conversation_count: number | null` Number of distinct conversations the user participated in. Approximate (HLL, typical error <2%) in date-range mode. Null on aggregated rows where a distinct count cannot be computed. - `distinct_files_uploaded_count: number | null` Number of distinct files uploaded. Approximate (HLL, typical error <2%) in date-range mode. Null on aggregated rows where a distinct count cannot be computed. - `distinct_projects_created_count: number` Number of distinct projects created. Exact in date-range mode: a creation belongs to exactly one day, so the per-day counts never overlap and their sum over the window is the exact count of distinct creations in it. - `distinct_projects_used_count: number | null` Number of distinct projects used. Approximate (HLL, typical error <2%) in date-range mode. Null on aggregated rows where a distinct count cannot be computed. - `distinct_shared_artifacts_viewed_count: number | null` Number of distinct shared artifacts the user viewed. Approximate (HLL, typical error <2%) in date-range mode. Null on aggregated rows where a distinct count cannot be computed. - `distinct_skills_used_count: number | null` Number of distinct skills used. Approximate (HLL, typical error <2%) in date-range mode. Null on aggregated rows where a distinct count cannot be computed. - `message_count: number` Number of messages sent - `shared_conversations_viewed_count: number` Number of times the user opened a shared conversation in a project - `thinking_message_count: number` Number of messages that used extended thinking - `claude_code_metrics: BetaAnalyticsClaudeCodeMetrics` Claude Code activity metrics for a single user on a given day. - `core_metrics: BetaAnalyticsCoreCodeMetrics` Core Claude Code activity metrics for a single user on a given day. - `artifacts_created_count: number` Number of artifacts created in Claude Code sessions: an artifact counts once, on the day a session first saves it. Counted from 2026-08-17; 0 on earlier days. Exact in date-range mode: a creation belongs to exactly one day, so the per-day counts never overlap and their sum over the window is the exact count of distinct creations in it. - `commit_count: number` Number of commits made via Claude Code - `distinct_session_count: number | null` Number of distinct Claude Code sessions. On aggregated rows and in date-range mode: summed per-day distinct counts. A session essentially never spans a UTC day, so the sum is in practice the true distinct count. - `lines_of_code: BetaAnalyticsLinesOfCode` Lines of code added and removed via Claude Code. - `added_count: number` Lines of code added - `removed_count: number` Lines of code removed - `pull_request_count: number` Number of pull requests created via Claude Code - `tool_actions: BetaAnalyticsToolActions` Per-tool accepted/rejected counts for Claude Code file modification tools. - `edit_tool: BetaAnalyticsToolActionCounts` Accepted/rejected counts for a single Claude Code tool type. - `accepted_count: number` Number of tool proposals accepted - `rejected_count: number` Number of tool proposals rejected - `multi_edit_tool: BetaAnalyticsToolActionCounts` Accepted/rejected counts for a single Claude Code tool type. - `notebook_edit_tool: BetaAnalyticsToolActionCounts` Accepted/rejected counts for a single Claude Code tool type. - `write_tool: BetaAnalyticsToolActionCounts` Accepted/rejected counts for a single Claude Code tool type. - `cowork_metrics: BetaAnalyticsCoworkMetrics` Cowork activity metrics for a single user on a given day. - `action_count: number` Number of tool actions completed in Cowork sessions - `artifacts_created_count: number` Number of artifacts created in Cowork sessions: an artifact counts once, on the day a session first saves it. Counted from 2026-08-17; 0 on earlier days. Exact in date-range mode: a creation belongs to exactly one day, so the per-day counts never overlap and their sum over the window is the exact count of distinct creations in it. - `connectors_used_count: number` Total number of connector invocations in Cowork sessions - `dispatch_turn_count: number` Number of Dispatch (background agent) turns completed - `distinct_connectors_used_count: number | null` Number of distinct connectors used in Cowork sessions. Approximate (HLL, typical error <2%) in date-range mode. Null on aggregated rows where a distinct count cannot be computed. - `distinct_session_count: number | null` Number of distinct Cowork sessions. Approximate (HLL, typical error <2%) in date-range mode. Null on aggregated rows where a distinct count cannot be computed. - `distinct_skills_used_count: number | null` Number of distinct skills used in Cowork sessions. Approximate (HLL, typical error <2%) in date-range mode. Null on aggregated rows where a distinct count cannot be computed. - `message_count: number` Number of messages sent in Cowork sessions - `skills_used_count: number` Total number of skill invocations in Cowork sessions - `distinct_plugins_used_count?: number | null` Number of distinct plugins used in Cowork sessions. Null while Cowork plugin-use metrics are not enabled for this organization. Approximate (HLL, typical error <2%) in date-range mode. Null on aggregated rows where a distinct count cannot be computed. - `edit_tool_count?: number | null` Number of successful Edit tool calls in Cowork sessions. Null while the file-edit metrics are not enabled for this organization. - `file_edit_count?: number | null` Number of successful file-edit tool calls (Edit, MultiEdit, Write, NotebookEdit) in Cowork sessions. Null, never 0, while the file-edit metrics are not enabled for this organization. - `multi_edit_tool_count?: number | null` Number of successful MultiEdit tool calls in Cowork sessions. Null while the file-edit metrics are not enabled for this organization. - `notebook_edit_tool_count?: number | null` Number of successful NotebookEdit tool calls in Cowork sessions. Null while the file-edit metrics are not enabled for this organization. - `plugins_used_count?: number | null` Total number of plugin invocations in Cowork sessions. Null while Cowork plugin-use metrics are not enabled for this organization. - `sessions_with_file_edits_count?: number | null` Number of distinct Cowork sessions with at least one successful file-edit tool call. Null while the file-edit metrics are not enabled for this organization. Approximate (HLL, typical error <2%) in date-range mode. Null on aggregated rows where a distinct count cannot be computed. - `write_tool_count?: number | null` Number of successful Write tool calls in Cowork sessions. Null while the file-edit metrics are not enabled for this organization. - `design_metrics: BetaAnalyticsDesignMetrics` Claude Design activity metrics for a single user on a given day. - `distinct_projects_created_count: number` Number of distinct Claude Design projects created. Exact in date-range mode: a creation belongs to exactly one day, so the per-day counts never overlap and their sum over the window is the exact count of distinct creations in it. - `distinct_projects_used_count: number | null` Number of distinct Claude Design projects the user worked in. Approximate (HLL, typical error <2%) in date-range mode. Null on aggregated rows where a distinct count cannot be computed. - `distinct_session_count: number | null` Number of distinct Claude Design sessions. Approximate (HLL, typical error <2%) in date-range mode. Null on aggregated rows where a distinct count cannot be computed. - `message_count: number` Number of messages sent in Claude Design sessions - `office_metrics: BetaAnalyticsOfficeMetrics` Office Agent activity metrics for a single user on a given day, broken out by Office product. - `excel: BetaAnalyticsOfficeProductMetrics` Office Agent activity metrics for a single user on a given day within one Office product. - `connectors_used_count: number` Number of MCP connector invocations - `distinct_connectors_used_count: number | null` Number of distinct MCP connectors used. Approximate (HLL, typical error <2%) in date-range mode. Null on aggregated rows where a distinct count cannot be computed. - `distinct_session_count: number | null` Number of distinct Office Agent sessions. Approximate (HLL, typical error <2%) in date-range mode. Null on aggregated rows where a distinct count cannot be computed. - `distinct_skills_used_count: number | null` Number of distinct skills used. Approximate (HLL, typical error <2%) in date-range mode. Null on aggregated rows where a distinct count cannot be computed. - `message_count: number` Number of messages sent - `skills_used_count: number` Number of skill invocations - `outlook: BetaAnalyticsOfficeProductMetrics` Office Agent activity metrics for a single user on a given day within one Office product. - `powerpoint: BetaAnalyticsOfficeProductMetrics` Office Agent activity metrics for a single user on a given day within one Office product. - `word: BetaAnalyticsOfficeProductMetrics` Office Agent activity metrics for a single user on a given day within one Office product. - `science_metrics: BetaAnalyticsScienceMetrics` Claude Science activity metrics for a single user on a given day. - `delegation_count: number` Number of delegations (handoffs to a specialized agent) in Claude Science sessions - `distinct_session_count: number | null` Number of distinct Claude Science sessions. Approximate (HLL, typical error <2%) in date-range mode. Null on aggregated rows where a distinct count cannot be computed. - `message_count: number` Number of messages sent in Claude Science sessions - `remote_compute_job_count: number` Number of remote compute jobs launched from Claude Science sessions - `skills_used_count: number` Total number of skill invocations in Claude Science sessions - `web_search_count: number` Number of web searches performed - `chat_cowork_unified_metrics?: ChatCoworkUnifiedMetrics | null` Activity recorded while the member had Chat and Cowork unified (Cowork's features inside claude.ai chat) turned on, split into `chat` (chat activity) and `sessions` (Cowork activity). Omitted from the response on deployments that do not offer Chat and Cowork unified. - `chat: BetaAnalyticsChatCoworkUnifiedChatMetrics` Chat activity recorded while members had Chat and Cowork unified turned on. - `connectors_used_count: number` Same measure as `chat_metrics.connectors_used_count`, for activity recorded while members had Chat and Cowork unified turned on. - `distinct_artifacts_created_count: number` Same measure as `chat_metrics.distinct_artifacts_created_count`, for activity recorded while members had Chat and Cowork unified turned on. Exact in date-range mode: a creation belongs to exactly one day, so the per-day counts never overlap and their sum over the window is the exact count of distinct creations in it. - `distinct_connectors_used_count: number | null` Same measure as `chat_metrics.distinct_connectors_used_count`, for activity recorded while members had Chat and Cowork unified turned on. Approximate (HLL, typical error <2%) in date-range mode. Null on aggregated rows where a distinct count cannot be computed. - `distinct_conversation_count: number | null` Same measure as `chat_metrics.distinct_conversation_count`, for activity recorded while members had Chat and Cowork unified turned on. Approximate (HLL, typical error <2%) in date-range mode. Null on aggregated rows where a distinct count cannot be computed. - `distinct_files_uploaded_count: number | null` Same measure as `chat_metrics.distinct_files_uploaded_count`, for activity recorded while members had Chat and Cowork unified turned on. It counts uploaded files as well as files Claude created and images returned by Claude's tools, such as screenshots. Approximate (HLL, typical error <2%) in date-range mode. Null on aggregated rows where a distinct count cannot be computed. - `distinct_projects_created_count: number` Same measure as `chat_metrics.distinct_projects_created_count`, for activity recorded while members had Chat and Cowork unified turned on. Exact in date-range mode: a creation belongs to exactly one day, so the per-day counts never overlap and their sum over the window is the exact count of distinct creations in it. - `distinct_projects_used_count: number | null` Same measure as `chat_metrics.distinct_projects_used_count`, for activity recorded while members had Chat and Cowork unified turned on. Approximate (HLL, typical error <2%) in date-range mode. Null on aggregated rows where a distinct count cannot be computed. - `distinct_shared_artifacts_viewed_count: number | null` Always null: shared-artifact views are not currently measured. - `distinct_skills_used_count: number | null` Same measure as `chat_metrics.distinct_skills_used_count`, for activity recorded while members had Chat and Cowork unified turned on. Approximate (HLL, typical error <2%) in date-range mode. Null on aggregated rows where a distinct count cannot be computed. - `message_count: number` Same measure as `chat_metrics.message_count`, for activity recorded while members had Chat and Cowork unified turned on. - `shared_conversations_viewed_count: number` Same measure as `chat_metrics.shared_conversations_viewed_count`, for activity recorded while members had Chat and Cowork unified turned on. - `thinking_message_count: number` Same measure as `chat_metrics.thinking_message_count`, for activity recorded while members had Chat and Cowork unified turned on. - `sessions: BetaAnalyticsChatCoworkUnifiedSessionsMetrics` Cowork session activity recorded while members had Chat and Cowork unified turned on. - `action_count: number` Same measure as `cowork_metrics.action_count`, for activity recorded while members had Chat and Cowork unified turned on. - `artifacts_created_count: number` Same measure as `cowork_metrics.artifacts_created_count`, for activity recorded while members had Chat and Cowork unified turned on. Exact in date-range mode: a creation belongs to exactly one day, so the per-day counts never overlap and their sum over the window is the exact count of distinct creations in it. - `connectors_used_count: number` Same measure as `cowork_metrics.connectors_used_count`, for activity recorded while members had Chat and Cowork unified turned on. - `dispatch_turn_count: number` Same measure as `cowork_metrics.dispatch_turn_count`, for activity recorded while members had Chat and Cowork unified turned on. - `distinct_connectors_used_count: number | null` Same measure as `cowork_metrics.distinct_connectors_used_count`, for activity recorded while members had Chat and Cowork unified turned on. Approximate (HLL, typical error <2%) in date-range mode. Null on aggregated rows where a distinct count cannot be computed. - `distinct_plugins_used_count: number | null` Same measure as `cowork_metrics.distinct_plugins_used_count`, for activity recorded while members had Chat and Cowork unified turned on. Approximate (HLL, typical error <2%) in date-range mode. Null on aggregated rows where a distinct count cannot be computed. - `distinct_session_count: number | null` Same measure as `cowork_metrics.distinct_session_count`, for activity recorded while members had Chat and Cowork unified turned on. Approximate (HLL, typical error <2%) in date-range mode. Null on aggregated rows where a distinct count cannot be computed. - `distinct_skills_used_count: number | null` Same measure as `cowork_metrics.distinct_skills_used_count`, for activity recorded while members had Chat and Cowork unified turned on. Approximate (HLL, typical error <2%) in date-range mode. Null on aggregated rows where a distinct count cannot be computed. - `edit_tool_count: number | null` Same measure as `cowork_metrics.edit_tool_count`, for activity recorded while members had Chat and Cowork unified turned on. - `file_edit_count: number | null` Same measure as `cowork_metrics.file_edit_count`, for activity recorded while members had Chat and Cowork unified turned on. - `message_count: number` Same measure as `cowork_metrics.message_count`, for activity recorded while members had Chat and Cowork unified turned on. - `multi_edit_tool_count: number | null` Same measure as `cowork_metrics.multi_edit_tool_count`, for activity recorded while members had Chat and Cowork unified turned on. Claude no longer has a multi-edit tool, so expect 0 when not null; each edit is now a separate Edit tool call, counted in `edit_tool_count` and `file_edit_count`. - `notebook_edit_tool_count: number | null` Same measure as `cowork_metrics.notebook_edit_tool_count`, for activity recorded while members had Chat and Cowork unified turned on. - `plugins_used_count: number | null` Same measure as `cowork_metrics.plugins_used_count`, for activity recorded while members had Chat and Cowork unified turned on. - `sessions_with_file_edits_count: number | null` Same measure as `cowork_metrics.sessions_with_file_edits_count`, for activity recorded while members had Chat and Cowork unified turned on. Approximate (HLL, typical error <2%) in date-range mode. Null on aggregated rows where a distinct count cannot be computed. - `skills_used_count: number` Same measure as `cowork_metrics.skills_used_count`, for activity recorded while members had Chat and Cowork unified turned on. - `write_tool_count: number | null` Same measure as `cowork_metrics.write_tool_count`, for activity recorded while members had Chat and Cowork unified turned on. - `distinct_user_count?: number | null` Number of distinct active users represented by this row. Only set for grouped rollups (`group_by[]`); null for per-user rows. In date-range mode, recomputed as an exact distinct count of the group's active members over the requested window, never a sum of per-day values. - `last_activity_date?: string | null` Most recent UTC day (YYYY-MM-DD) on which the user had any counted activity, within the requested window: equal to the requested `date` in single-day mode, and to the latest active day from `starting_date` (inclusive) to `ending_date` (exclusive) in date-range rollup mode — never a day earlier than the window start. On filtered requests (`filter[]`) only days matching the filter count: with `filter[]=rbac_group_id:{id}` it is the last day the user was active while a member of that group, consistent with the row's other metrics. On grouped (`group_by[]`) rows it is the latest day any member of the group was active (the requested `date` in single-day mode). Omitted from the response while last-activity reporting is not enabled for this organization. format: date - `rbac_group_id?: string | null` Tagged RBAC group identifier (`rbac_group_...`), matching the spend-limits API spelling. Present only when the request grouped by `rbac_group_id`. - `rbac_group_name?: string | null` Resolved RBAC group display name, alongside `rbac_group_id` when name resolution is available. Null if the group has been deleted or its name could not be resolved; `rbac_group_id` remains the stable key. - `user?: BetaAnalyticsUser | null` The user this row describes. Null on rows aggregated across users. - `type: "user"` Object type. Always `user`. default: user - `id: string` Tagged user identifier (e.g. `user_...`) - `email_address: string` Email address of the user #### Example ```typescript import Anthropic from "@anthropic-ai/sdk"; const client = new Anthropic({ apiKey: process.env["ANTHROPIC_API_KEY"] // This is the default and can be omitted }); // Automatically fetches more pages as needed. for await (const betaAnalyticsUserActivity of client.beta.organization.analytics.users.list()) { console.log(betaAnalyticsUserActivity.rbac_group_id); } ``` ##### Response (200) ```json { "data": [ { "chat_metrics": { "connectors_used_count": 0, "distinct_artifacts_created_count": 0, "distinct_connectors_used_count": 0, "distinct_conversation_count": 0, "distinct_files_uploaded_count": 0, "distinct_projects_created_count": 0, "distinct_projects_used_count": 0, "distinct_shared_artifacts_viewed_count": 0, "distinct_skills_used_count": 0, "message_count": 0, "shared_conversations_viewed_count": 0, "thinking_message_count": 0 }, "claude_code_metrics": { "core_metrics": { "artifacts_created_count": 0, "commit_count": 0, "distinct_session_count": 0, "lines_of_code": { "added_count": 0, "removed_count": 0 }, "pull_request_count": 0 }, "tool_actions": { "edit_tool": { "accepted_count": 0, "rejected_count": 0 }, "multi_edit_tool": { "accepted_count": 0, "rejected_count": 0 }, "notebook_edit_tool": { "accepted_count": 0, "rejected_count": 0 }, "write_tool": { "accepted_count": 0, "rejected_count": 0 } } }, "cowork_metrics": { "action_count": 0, "artifacts_created_count": 0, "connectors_used_count": 0, "dispatch_turn_count": 0, "distinct_connectors_used_count": 0, "distinct_session_count": 0, "distinct_skills_used_count": 0, "message_count": 0, "skills_used_count": 0, "distinct_plugins_used_count": 0, "edit_tool_count": 0, "file_edit_count": 0, "multi_edit_tool_count": 0, "notebook_edit_tool_count": 0, "plugins_used_count": 0, "sessions_with_file_edits_count": 0, "write_tool_count": 0 }, "design_metrics": { "distinct_projects_created_count": 0, "distinct_projects_used_count": 0, "distinct_session_count": 0, "message_count": 0 }, "office_metrics": { "excel": { "connectors_used_count": 0, "distinct_connectors_used_count": 0, "distinct_session_count": 0, "distinct_skills_used_count": 0, "message_count": 0, "skills_used_count": 0 }, "outlook": { "connectors_used_count": 0, "distinct_connectors_used_count": 0, "distinct_session_count": 0, "distinct_skills_used_count": 0, "message_count": 0, "skills_used_count": 0 }, "powerpoint": { "connectors_used_count": 0, "distinct_connectors_used_count": 0, "distinct_session_count": 0, "distinct_skills_used_count": 0, "message_count": 0, "skills_used_count": 0 }, "word": { "connectors_used_count": 0, "distinct_connectors_used_count": 0, "distinct_session_count": 0, "distinct_skills_used_count": 0, "message_count": 0, "skills_used_count": 0 } }, "science_metrics": { "delegation_count": 0, "distinct_session_count": 0, "message_count": 0, "remote_compute_job_count": 0, "skills_used_count": 0 }, "web_search_count": 0, "chat_cowork_unified_metrics": { "chat": { "connectors_used_count": 0, "distinct_artifacts_created_count": 0, "distinct_connectors_used_count": 0, "distinct_conversation_count": 0, "distinct_files_uploaded_count": 0, "distinct_projects_created_count": 0, "distinct_projects_used_count": 0, "distinct_shared_artifacts_viewed_count": 0, "distinct_skills_used_count": 0, "message_count": 0, "shared_conversations_viewed_count": 0, "thinking_message_count": 0 }, "sessions": { "action_count": 0, "artifacts_created_count": 0, "connectors_used_count": 0, "dispatch_turn_count": 0, "distinct_connectors_used_count": 0, "distinct_plugins_used_count": 0, "distinct_session_count": 0, "distinct_skills_used_count": 0, "edit_tool_count": 0, "file_edit_count": 0, "message_count": 0, "multi_edit_tool_count": 0, "notebook_edit_tool_count": 0, "plugins_used_count": 0, "sessions_with_file_edits_count": 0, "skills_used_count": 0, "write_tool_count": 0 } }, "distinct_user_count": 0, "last_activity_date": "2019-12-27", "rbac_group_id": "rbac_group_id", "rbac_group_name": "rbac_group_name", "user": { "id": "id", "email_address": "email_address", "type": "user" } } ], "next_page": "next_page" } ``` ## Analytics › Apps › Chat › Projects ### Get Chat Project Usage `client.beta.organization.analytics.apps.chat.projects.list(query?, options?): PageCursor` **GET** `/v1/organizations/analytics/apps/chat/projects` Get per-project activity for a given day, with cursor-based pagination. Returns activity metrics for each project in the organization, sorted by project ID. Use `group_by[]` to break projects out per member or per RBAC group, and `filter[]` to scope results; the parameter descriptions list the supported dimensions. Available to organizations on a Claude Enterprise plan. Requires an API key with the `read:analytics` scope. #### Parameters - `query: ProjectListParams` - `date?: string | null` (query parameter) UTC date in YYYY-MM-DD format. The day to get project activity for. Data is typically available with a 1-day lag (varies by query; the error for a too-recent date names the latest available day) and may be revised by a few percent over the following days. No earlier than 2026-01-01. format: date - `ending_date?: string | null` (query parameter) UTC date in YYYY-MM-DD format. End of the date range (exclusive); only valid with `starting_date`. Data is typically available with a 1-day lag (varies by query; the error for a too-recent date names the latest available day), so this can be at most today — which is also the default when omitted, resolved once when the first page is served and reused for the rest of the pagination sequence. At most 366 days after `starting_date`. format: date - `filter?: Array | null` (query parameter) Filters as `dimension:value`, e.g. `filter[]=rbac_group_id:{id}`. Repeat the param for OR within a dimension and across dimensions for AND. Supported dimensions on this endpoint: `project_id`, `rbac_group_id`, `user_id`. Value forms: `project_id` takes a tagged project id (`claude_proj_...`); `rbac_group_id` takes the tagged id (`rbac_group_...`, as emitted in responses and by the spend-limits API) or a bare group UUID, and matches users who held the group at any point during each covered UTC day (time-of-usage attribution); `user_id` takes a tagged user id (`user_...`), as emitted in responses. An unsupported dimension returns 400. At most 100 entries. maxItems: 100 - `group_by?: Array<"rbac_group_id" | "user_id"> | null` (query parameter) Dimensions to break results out by (e.g. `group_by[]=user_id`). Supported on this endpoint: `rbac_group_id`, `user_id`. Grouped rows carry the requested dimension values as additional fields and paginate like ungrouped responses via `next_page`; an unsupported dimension returns 400. `rbac_group_id` attributes a user to every group they held at any point during each covered UTC day, so grouped rows are not an exclusive partition and can sum above org-level totals. At most 100 entries. maxItems: 100 - `"rbac_group_id"` - `"user_id"` - `limit?: number | null` (query parameter) Number of results per page (1-1000, default 100). minimum: 1, maximum: 1000 - `order?: "asc" | "desc" | null` (query parameter) Sort direction: `asc` or `desc`. Defaults to `asc` for the endpoint's sort column and to `desc` when `order_by` names a metric (a top-N ranking). Applies to `order_by`, or to the endpoint's default sort field when `order_by` is omitted. - `"asc"` - `"desc"` - `order_by?: string | null` (query parameter) Sort field. Restricted to the endpoint's sort column plus its rankable metrics (metrics default to descending; a few metrics rank in date-range mode only, per the endpoint's documented orderable set). - `page?: string | null` (query parameter) Opaque cursor from a previous response's `next_page` field. - `starting_date?: string | null` (query parameter) UTC date in YYYY-MM-DD format. Start of a date range (inclusive). Enables rollup mode: one row per entity aggregated over the whole range — addable counters are summed across days, and a distinct count is never summed where summing could double-count (a field's range value is recomputed exactly over the window, approximate via HLL with typical error under 2%, null, or — for the creation-event counts, whose per-day values cannot overlap — a per-day sum that is itself exact; each field's own description says which). Use either `date` or `starting_date`, not both. Data is typically available with a 1-day lag (varies by query; the error for a too-recent date names the latest available day) and may be revised by a few percent over the following days. No earlier than 2026-01-01. format: date #### Returns - `interface BetaAnalyticsProjectActivity` Per-project activity data for a given day. - `distinct_user_count: number` Number of distinct users who used the project on the requested day, or, in date-range mode, over the requested window — recomputed as an exact distinct count over the window's per-member daily rows, never a sum of per-day values. - `message_count: number` Number of messages sent in the project on the requested day - `project_id: string` Tagged project identifier (e.g. `claude_proj_...`) - `project_name: string` Name of the project - `created_at?: string | null` Project creation timestamp in RFC 3339 format. Null if the project was deleted before attribution was recorded. format: date-time - `created_by?: BetaAnalyticsUser | null` User who created the project. Null if the project was deleted before attribution was recorded, or if the creator's account no longer exists. - `type: "user"` Object type. Always `user`. default: user - `id: string` Tagged user identifier (e.g. `user_...`) - `email_address: string` Email address of the user - `distinct_conversation_count?: number | null` Number of distinct conversations in the project. Null on aggregated rows where a distinct count cannot be computed. - `product?: string | null` Product that produced this row's activity: one of `chat`, `claude_code`, `cowork`, `office_agent`, or `chat_cowork_unified` (Chat and Cowork unified). These are the canonical Cost & Usage product names; an `office_agent` row's per-surface breakdown is in its `office_metrics`. On `/plugins` only `cowork`, `claude_code` and `chat_cowork_unified` occur (the only surfaces with plugin attribution); on `/artifacts` only `chat`, `claude_code`, `cowork` and `chat_cowork_unified` occur (the surfaces that create artifacts); `/apps/chat/projects` does not support the product dimension (a `product` entry in `group_by[]` or `filter[]` there is rejected). Present only when the request grouped by `product`. - `rbac_group_id?: string | null` Tagged RBAC group identifier (`rbac_group_...`), matching the spend-limits API spelling. Present only when the request grouped by `rbac_group_id`. - `rbac_group_name?: string | null` Resolved RBAC group display name, alongside `rbac_group_id` when name resolution is available. Null if the group has been deleted or its name could not be resolved; `rbac_group_id` remains the stable key. - `user_id?: string | null` Tagged user identifier (e.g. `user_...`). Present only when the request grouped by `user_id`. #### Example ```typescript import Anthropic from "@anthropic-ai/sdk"; const client = new Anthropic({ apiKey: process.env["ANTHROPIC_API_KEY"] // This is the default and can be omitted }); // Automatically fetches more pages as needed. for await (const betaAnalyticsProjectActivity of client.beta.organization.analytics.apps.chat.projects.list()) { console.log(betaAnalyticsProjectActivity.project_id); } ``` ##### Response (200) ```json { "data": [ { "distinct_user_count": 0, "message_count": 0, "project_id": "project_id", "project_name": "project_name", "created_at": "2019-12-27T18:11:19.117Z", "created_by": { "id": "id", "email_address": "email_address", "type": "user" }, "distinct_conversation_count": 0, "product": "product", "rbac_group_id": "rbac_group_id", "rbac_group_name": "rbac_group_name", "user_id": "user_id" } ], "next_page": "next_page" } ``` ## Analytics › Connectors ### Get Connector Usage `client.beta.organization.analytics.connectors.list(query?, options?): PageCursor` **GET** `/v1/organizations/analytics/connectors` Get per-connector usage for a given day, with cursor-based pagination. Returns connector usage metrics for the organization, sorted by connector name. Connector names are normalized from their various sources — for example, "Atlassian MCP server" and "mcp-atlassian" both appear as "atlassian". Use `group_by[]` to break usage out per member, per RBAC group, or per product surface, and `filter[]` to scope results; the parameter descriptions list the supported dimensions. Available to organizations on a Claude Enterprise plan. Requires an API key with the `read:analytics` scope. #### Parameters - `query: ConnectorListParams` - `date?: string | null` (query parameter) UTC date in YYYY-MM-DD format. The day to get connector usage for. Data is typically available with a 1-day lag (varies by query; the error for a too-recent date names the latest available day) and may be revised by a few percent over the following days. No earlier than 2026-01-01. format: date - `ending_date?: string | null` (query parameter) UTC date in YYYY-MM-DD format. End of the date range (exclusive); only valid with `starting_date`. Data is typically available with a 1-day lag (varies by query; the error for a too-recent date names the latest available day), so this can be at most today — which is also the default when omitted, resolved once when the first page is served and reused for the rest of the pagination sequence. At most 366 days after `starting_date`. format: date - `filter?: Array | null` (query parameter) Filters as `dimension:value`, e.g. `filter[]=rbac_group_id:{id}`. Repeat the param for OR within a dimension and across dimensions for AND. Supported dimensions on this endpoint: `connector_name`, `product`, `rbac_group_id`, `user_id`. Value forms: `connector_name` matches case-insensitively, a display name such as 'GitHub MCP' also matches its normalized stored form ('github'), and for rows whose `connector_name` is an opaque connector id the connector's display name (`connector_display_name`) also matches; `product` is one of `chat_cowork_unified`, `chat`, `claude_code`, `cowork`, or `office_agent`; `rbac_group_id` takes the tagged id (`rbac_group_...`, as emitted in responses and by the spend-limits API) or a bare group UUID, and matches users who held the group at any point during each covered UTC day (time-of-usage attribution); `user_id` takes a tagged user id (`user_...`), as emitted in responses. An unsupported dimension returns 400. At most 100 entries. `chat_cowork_unified` is accepted as a `product` value only on deployments that offer Chat and Cowork unified. maxItems: 100 - `group_by?: Array<"product" | "rbac_group_id" | "user_id"> | null` (query parameter) Dimensions to break results out by (e.g. `group_by[]=user_id`). Supported on this endpoint: `product`, `rbac_group_id`, `user_id`. Grouped rows carry the requested dimension values as additional fields and paginate like ungrouped responses via `next_page`; an unsupported dimension returns 400. `rbac_group_id` attributes a user to every group they held at any point during each covered UTC day, so grouped rows are not an exclusive partition and can sum above org-level totals. At most 100 entries. maxItems: 100 - `"product"` - `"rbac_group_id"` - `"user_id"` - `limit?: number | null` (query parameter) Number of results per page (1-1000, default 100). minimum: 1, maximum: 1000 - `order?: "asc" | "desc" | null` (query parameter) Sort direction: `asc` or `desc`. Defaults to `asc` for the endpoint's sort column and to `desc` when `order_by` names a metric (a top-N ranking). Applies to `order_by`, or to the endpoint's default sort field when `order_by` is omitted. - `"asc"` - `"desc"` - `order_by?: string | null` (query parameter) Sort field. Restricted to the endpoint's sort column plus its rankable metrics (metrics default to descending; a few metrics rank in date-range mode only, per the endpoint's documented orderable set). - `page?: string | null` (query parameter) Opaque cursor from a previous response's `next_page` field. - `starting_date?: string | null` (query parameter) UTC date in YYYY-MM-DD format. Start of a date range (inclusive). Enables rollup mode: one row per entity aggregated over the whole range — addable counters are summed across days, and a distinct count is never summed where summing could double-count (a field's range value is recomputed exactly over the window, approximate via HLL with typical error under 2%, null, or — for the creation-event counts, whose per-day values cannot overlap — a per-day sum that is itself exact; each field's own description says which). Use either `date` or `starting_date`, not both. Data is typically available with a 1-day lag (varies by query; the error for a too-recent date names the latest available day) and may be revised by a few percent over the following days. No earlier than 2026-01-01. format: date #### Returns - `interface BetaAnalyticsConnectorActivity` Per-connector activity data for a given day. - `chat_metrics: BetaAnalyticsConnectorChatMetrics` Claude.ai activity metrics for a single connector on a given day. - `distinct_conversation_connector_used_count: number | null` Number of distinct conversations in which the connector was used. Approximate (HLL, typical error <2%) in date-range mode. Null on aggregated rows where a distinct count cannot be computed. - `claude_code_metrics: BetaAnalyticsConnectorClaudeCodeMetrics` Claude Code activity metrics for a single connector on a given day. - `distinct_session_connector_used_count: number | null` Number of distinct Claude Code sessions in which the connector was used. Approximate (HLL, typical error <2%) in date-range mode. Null on aggregated rows where a distinct count cannot be computed. - `connector_name: string` Name of the connector. Some rows carry an opaque connector id here instead of a readable name; `connector_display_name` holds the resolved name for those rows. - `cowork_metrics: BetaAnalyticsConnectorCoworkMetrics` Cowork activity metrics for a single connector on a given day. - `distinct_session_connector_used_count: number | null` Number of distinct Cowork sessions in which the connector was used. Approximate (HLL, typical error <2%) in date-range mode. Null on aggregated rows where a distinct count cannot be computed. - `distinct_user_count: number` Number of distinct users who used the connector on the requested day, or, in date-range mode, over the requested window — recomputed as an exact distinct count over the window's per-member daily rows, never a sum of per-day values. - `office_metrics: BetaAnalyticsConnectorOfficeMetrics` Office Agent activity metrics for a single connector on a given day, broken out by Office product. - `excel: BetaAnalyticsConnectorOfficeProductMetrics` Office Agent activity metrics for a single connector on a given day within one Office product. - `distinct_session_connector_used_count: number | null` Number of distinct Office Agent sessions in which the connector was used. Approximate (HLL, typical error <2%) in date-range mode. Null on aggregated rows where a distinct count cannot be computed. - `outlook: BetaAnalyticsConnectorOfficeProductMetrics` Office Agent activity metrics for a single connector on a given day within one Office product. - `powerpoint: BetaAnalyticsConnectorOfficeProductMetrics` Office Agent activity metrics for a single connector on a given day within one Office product. - `word: BetaAnalyticsConnectorOfficeProductMetrics` Office Agent activity metrics for a single connector on a given day within one Office product. - `chat_cowork_unified_metrics?: ChatCoworkUnifiedMetrics | null` Connector use recorded while members had Chat and Cowork unified (Cowork's features inside claude.ai chat) turned on, split into chat conversations and Cowork sessions. A count is null in date-range mode where it cannot be computed. Omitted from the response on deployments that do not offer Chat and Cowork unified. - `chat: BetaAnalyticsConnectorChatCoworkUnifiedChatMetrics` A connector's use in chat conversations recorded while members had Chat and Cowork unified turned on. - `distinct_conversation_connector_used_count: number | null` Same measure as `chat_metrics.distinct_conversation_connector_used_count`, for activity recorded while members had Chat and Cowork unified turned on. Approximate (HLL, typical error <2%) in date-range mode. Null on aggregated rows where a distinct count cannot be computed. - `sessions: BetaAnalyticsConnectorChatCoworkUnifiedSessionsMetrics` A connector's use in Cowork sessions recorded while members had Chat and Cowork unified turned on. - `distinct_session_connector_used_count: number | null` Same measure as `cowork_metrics.distinct_session_connector_used_count`, for activity recorded while members had Chat and Cowork unified turned on. Approximate (HLL, typical error <2%) in date-range mode. Null on aggregated rows where a distinct count cannot be computed. - `connector_display_name?: string | null` Human-readable display name for rows whose `connector_name` is an opaque connector id rather than a readable name, resolved at request time from the organization's connectors (including connectors that have since been removed). `connector_name` remains the row's stable key for sorting and pagination, and `filter[]=connector_name:{value}` also matches these rows by display name. Display names are not unique, and the same connector's claude.ai usage can appear under a separate row with a readable `connector_name`. Null when `connector_name` is already a readable name, when the id cannot be resolved to one of the organization's connectors, or when display-name resolution is not enabled for this organization. - `individual_auth_distinct_user_count?: number | null` Number of distinct users whose use of this connector on the requested day ran on their own individual credential, connected through their own consent flow. Companion bucket to `managed_auth_distinct_user_count`, which carries the measurement, attribution, and null rules. Users whose requests used no stored credential count in neither bucket. - `managed_auth_distinct_user_count?: number | null` Number of distinct users whose use of this connector on the requested day ran on Enterprise Managed Auth (an organization-managed credential provisioned through the organization's identity provider), read from the token record each request used. Null, never 0, when managed-auth reporting is not enabled for the organization, the value cannot be attributed to the row, no credentialed requests and no managed-token mint events (a managed credential being provisioned for a user's use of the connector) were observed that day, or the day predates 2026-07-01, the first day the backing data exists (forward-only data, no backfill). When credentialed requests or mint events were observed and attributed, both managed-auth fields populate, reporting 0 for a bucket with no users; the two counts are independent, not a partition — a user whose requests that day used both kinds of credential counts in both. Mint events carry user but not surface attribution, so they count as observed auth activity on `user_id` and `rbac_group_id` cuts — attributed to the user the credential was provisioned for — but never on a cut that references `product` (group or filter). Date-range rollup mode (`starting_date`/`ending_date`) computes both fields exactly over the window — distinct users with at least one qualifying day — when the whole window starts on or after 2026-07-01, with the null-versus-0 and mint-event rules applying with the window in place of the day; a range starting earlier reports every managed-auth field as null, never a partial-window value. - `product?: string | null` Product that produced this row's activity: one of `chat`, `claude_code`, `cowork`, `office_agent`, or `chat_cowork_unified` (Chat and Cowork unified). These are the canonical Cost & Usage product names; an `office_agent` row's per-surface breakdown is in its `office_metrics`. On `/plugins` only `cowork`, `claude_code` and `chat_cowork_unified` occur (the only surfaces with plugin attribution); on `/artifacts` only `chat`, `claude_code`, `cowork` and `chat_cowork_unified` occur (the surfaces that create artifacts); `/apps/chat/projects` does not support the product dimension (a `product` entry in `group_by[]` or `filter[]` there is rejected). Present only when the request grouped by `product`. - `rbac_group_id?: string | null` Tagged RBAC group identifier (`rbac_group_...`), matching the spend-limits API spelling. Present only when the request grouped by `rbac_group_id`. - `rbac_group_name?: string | null` Resolved RBAC group display name, alongside `rbac_group_id` when name resolution is available. Null if the group has been deleted or its name could not be resolved; `rbac_group_id` remains the stable key. - `read_call_count?: number | null` Number of connector tool calls on the requested day whose trusted read-only annotation marked them read-only. Call count, not distinct users. Every call recorded on a classified surface lands in exactly one of `read_call_count`, `write_call_count`, or `unclassified_call_count`, so the three sum to the day's classified calls. Classification is forward-only per surface: claude.ai from 2026-06-01, Claude Code from 2026-05-30, Claude in Office from 2026-05-29, Cowork from 2026-06-02 (Cowork clients predating annotation forwarding land in `unclassified_call_count`). Null, never 0, when the value cannot be stated: the read/write split is not enabled for this organization, or the day predates 2026-05-29. For a date-range total, sum the per-day values, but treat a window that extends before 2026-05-29 as null rather than summing only its covered days — date-range rollup mode (`starting_date`/`ending_date`) applies both rules server-side. - `unclassified_call_count?: number | null` Number of connector tool calls on the requested day with no trusted read-only annotation — the annotation is optional in the MCP spec and is discarded when connector access controls are active, so unclassified calls are common. This field shows how much of the day's classified activity the read/write split actually covers. Call count, not distinct users. One of the three call-classification buckets; see `read_call_count` for the per-surface data-start dates, null conditions, and date-range guidance. - `user_id?: string | null` Tagged user identifier (e.g. `user_...`). Present only when the request grouped by `user_id`. - `write_call_count?: number | null` Number of connector tool calls on the requested day whose trusted read-only annotation marked them not read-only. Call count, not distinct users. One of the three call-classification buckets; see `read_call_count` for the per-surface data-start dates, null conditions, and date-range guidance. #### Example ```typescript import Anthropic from "@anthropic-ai/sdk"; const client = new Anthropic({ apiKey: process.env["ANTHROPIC_API_KEY"] // This is the default and can be omitted }); // Automatically fetches more pages as needed. for await (const betaAnalyticsConnectorActivity of client.beta.organization.analytics.connectors.list()) { console.log(betaAnalyticsConnectorActivity.individual_auth_distinct_user_count); } ``` ##### Response (200) ```json { "data": [ { "chat_metrics": { "distinct_conversation_connector_used_count": 0 }, "claude_code_metrics": { "distinct_session_connector_used_count": 0 }, "connector_name": "connector_name", "cowork_metrics": { "distinct_session_connector_used_count": 0 }, "distinct_user_count": 0, "office_metrics": { "excel": { "distinct_session_connector_used_count": 0 }, "outlook": { "distinct_session_connector_used_count": 0 }, "powerpoint": { "distinct_session_connector_used_count": 0 }, "word": { "distinct_session_connector_used_count": 0 } }, "chat_cowork_unified_metrics": { "chat": { "distinct_conversation_connector_used_count": 0 }, "sessions": { "distinct_session_connector_used_count": 0 } }, "connector_display_name": "connector_display_name", "individual_auth_distinct_user_count": 0, "managed_auth_distinct_user_count": 0, "product": "product", "rbac_group_id": "rbac_group_id", "rbac_group_name": "rbac_group_name", "read_call_count": 0, "unclassified_call_count": 0, "user_id": "user_id", "write_call_count": 0 } ], "next_page": "next_page" } ``` ## Analytics › Plugins ### Get Plugin Usage `client.beta.organization.analytics.plugins.list(query?, options?): PageCursor` **GET** `/v1/organizations/analytics/plugins` Get per-plugin install + invocation usage for a given day, with pagination. Returns plugin usage metrics for the organization across Cowork and Claude Code, sorted by plugin name. The `plugin_name` value `third-party` is an aggregate bucket, not a plugin: it collects plugin activity, from either surface, for which the reporting client did not provide a plugin name — so an organization's own plugins can contribute both to their own named rows and to this bucket. Use `group_by[]` to break usage out per member, per RBAC group, or per product surface (Cowork / Claude Code), and `filter[]` to scope results; the parameter descriptions list the supported dimensions. Requires an API key with the `read:analytics` scope. `starting_date` / `ending_date` select range-rollup mode like `/skills`. #### Parameters - `query: PluginListParams` - `date?: string | null` (query parameter) UTC date in YYYY-MM-DD format. The day to get plugin usage for. Data is typically available with a 1-day lag (varies by query; the error for a too-recent date names the latest available day) and may be revised by a few percent over the following days. No earlier than 2026-01-01. format: date - `ending_date?: string | null` (query parameter) UTC date in YYYY-MM-DD format. End of the date range (exclusive); only valid with `starting_date`. Data is typically available with a 1-day lag (varies by query; the error for a too-recent date names the latest available day), so this can be at most today — which is also the default when omitted, resolved once when the first page is served and reused for the rest of the pagination sequence. At most 366 days after `starting_date`. format: date - `filter?: Array | null` (query parameter) Filters as `dimension:value`, e.g. `filter[]=rbac_group_id:{id}`. Repeat the param for OR within a dimension and across dimensions for AND. Supported dimensions on this endpoint: `plugin_name`, `product`, `rbac_group_id`, `user_id`. Value forms: `plugin_name` matches case-insensitively; `product` is `chat_cowork_unified`, `claude_code`, or `cowork` (the only surfaces with plugin attribution); `rbac_group_id` takes the tagged id (`rbac_group_...`, as emitted in responses and by the spend-limits API) or a bare group UUID, and matches users who held the group at any point during each covered UTC day (time-of-usage attribution); `user_id` takes a tagged user id (`user_...`), as emitted in responses. An unsupported dimension returns 400. At most 100 entries. `chat_cowork_unified` is accepted as a `product` value only on deployments that offer Chat and Cowork unified. maxItems: 100 - `group_by?: Array<"product" | "rbac_group_id" | "user_id"> | null` (query parameter) Dimensions to break results out by (e.g. `group_by[]=user_id`). Supported on this endpoint: `product`, `rbac_group_id`, `user_id`. On this endpoint `product` takes the values `chat_cowork_unified`, `claude_code`, or `cowork` only (the surfaces with plugin attribution). Grouped rows carry the requested dimension values as additional fields and paginate like ungrouped responses via `next_page`; an unsupported dimension returns 400. `rbac_group_id` attributes a user to every group they held at any point during each covered UTC day, so grouped rows are not an exclusive partition and can sum above org-level totals. At most 100 entries. maxItems: 100 - `"product"` - `"rbac_group_id"` - `"user_id"` - `limit?: number | null` (query parameter) Number of results per page (1-1000, default 100). minimum: 1, maximum: 1000 - `order?: "asc" | "desc" | null` (query parameter) Sort direction: `asc` or `desc`. Defaults to `asc` for the endpoint's sort column and to `desc` when `order_by` names a metric (a top-N ranking). Applies to `order_by`, or to the endpoint's default sort field when `order_by` is omitted. - `"asc"` - `"desc"` - `order_by?: string | null` (query parameter) Sort field. Restricted to the endpoint's sort column plus its rankable metrics (metrics default to descending; a few metrics rank in date-range mode only, per the endpoint's documented orderable set). - `page?: string | null` (query parameter) Opaque cursor from a previous response's `next_page` field. - `starting_date?: string | null` (query parameter) UTC date in YYYY-MM-DD format. Start of a date range (inclusive). Enables rollup mode: one row per entity aggregated over the whole range — addable counters are summed across days, and a distinct count is never summed where summing could double-count (a field's range value is recomputed exactly over the window, approximate via HLL with typical error under 2%, null, or — for the creation-event counts, whose per-day values cannot overlap — a per-day sum that is itself exact; each field's own description says which). Use either `date` or `starting_date`, not both. Data is typically available with a 1-day lag (varies by query; the error for a too-recent date names the latest available day) and may be revised by a few percent over the following days. No earlier than 2026-01-01. format: date #### Returns - `interface BetaAnalyticsPluginActivity` Per-plugin install + invocation activity for a given day. With `group_by[]=user_id` / `rbac_group_id` / `product` (`cowork`, `claude_code` and `chat_cowork_unified` only on this endpoint) each row is one (plugin, user), (plugin, group), or (plugin, product) cut: the flat `user_id` / `rbac_group_id` / `product` keys carry the cut and the counts are scoped to it. - `claude_code_metrics: BetaAnalyticsPluginClaudeCodeMetrics` Claude Code activity metrics for a single plugin on a given day. - `distinct_session_plugin_used_count: number | null` Number of distinct Claude Code sessions in which the plugin was invoked. Null on aggregated rows where a distinct count cannot be computed. - `cowork_metrics: BetaAnalyticsPluginCoworkMetrics` Cowork activity metrics for a single plugin on a given day. - `distinct_session_plugin_used_count: number | null` Number of distinct Cowork sessions in which the plugin was invoked. Null on aggregated rows where a distinct count cannot be computed. - `distinct_user_count: number` Number of distinct users with recorded install or invocation activity for the plugin on the requested day (install-only users count), or, in date-range mode, over the requested window — recomputed as an exact distinct count over the window's per-member daily rows, never a sum of per-day values. - `install_count: number | null` Number of distinct users who installed the plugin on the requested day, or, in date-range mode, over the requested window — recomputed as an exact distinct count over the window's per-member daily rows, never a sum of per-day values. - `invocation_count: number` Number of plugin invocations on the requested day - `plugin_name: string` Name of the plugin - `chat_cowork_unified_metrics?: ChatCoworkUnifiedMetrics | null` Plugin use recorded while members had Chat and Cowork unified (Cowork's features inside claude.ai chat) turned on. A count is null in date-range mode where it cannot be computed. Omitted from the response on deployments that do not offer Chat and Cowork unified. - `distinct_session_plugin_used_count: number | null` Same measure as `cowork_metrics.distinct_session_plugin_used_count`, for activity recorded while members had Chat and Cowork unified turned on. Null on aggregated rows where a distinct count cannot be computed. - `plugin_id?: string | null` Stable plugin identifier when available (e.g. `serena@claude-plugins-official`). Null for third-party Claude Code plugins (redacted at the source) and Cowork slash commands that carry only a hashed id. - `product?: string | null` Product that produced this row's activity: one of `chat`, `claude_code`, `cowork`, `office_agent`, or `chat_cowork_unified` (Chat and Cowork unified). These are the canonical Cost & Usage product names; an `office_agent` row's per-surface breakdown is in its `office_metrics`. On `/plugins` only `cowork`, `claude_code` and `chat_cowork_unified` occur (the only surfaces with plugin attribution); on `/artifacts` only `chat`, `claude_code`, `cowork` and `chat_cowork_unified` occur (the surfaces that create artifacts); `/apps/chat/projects` does not support the product dimension (a `product` entry in `group_by[]` or `filter[]` there is rejected). Present only when the request grouped by `product`. - `rbac_group_id?: string | null` Tagged RBAC group identifier (`rbac_group_...`), matching the spend-limits API spelling. Present only when the request grouped by `rbac_group_id`. - `rbac_group_name?: string | null` Resolved RBAC group display name, alongside `rbac_group_id` when name resolution is available. Null if the group has been deleted or its name could not be resolved; `rbac_group_id` remains the stable key. - `user_id?: string | null` Tagged user identifier (e.g. `user_...`). Present only when the request grouped by `user_id`. #### Example ```typescript import Anthropic from "@anthropic-ai/sdk"; const client = new Anthropic({ apiKey: process.env["ANTHROPIC_API_KEY"] // This is the default and can be omitted }); // Automatically fetches more pages as needed. for await (const betaAnalyticsPluginActivity of client.beta.organization.analytics.plugins.list()) { console.log(betaAnalyticsPluginActivity.plugin_id); } ``` ##### Response (200) ```json { "data": [ { "claude_code_metrics": { "distinct_session_plugin_used_count": 0 }, "cowork_metrics": { "distinct_session_plugin_used_count": 0 }, "distinct_user_count": 0, "install_count": 0, "invocation_count": 0, "plugin_name": "plugin_name", "chat_cowork_unified_metrics": { "distinct_session_plugin_used_count": 0 }, "plugin_id": "plugin_id", "product": "product", "rbac_group_id": "rbac_group_id", "rbac_group_name": "rbac_group_name", "user_id": "user_id" } ], "next_page": "next_page" } ``` ## Analytics › Skills ### Get Skill Usage `client.beta.organization.analytics.skills.list(query?, options?): PageCursor` **GET** `/v1/organizations/analytics/skills` Get per-skill usage for a given day, with cursor-based pagination. Returns skill usage metrics for the organization, sorted by skill name. Use `group_by[]` to break usage out per member, per RBAC group, or per product surface, and `filter[]` to scope results; the parameter descriptions list the supported dimensions. Available to organizations on a Claude Enterprise plan. Requires an API key with the `read:analytics` scope. #### Parameters - `query: SkillListParams` - `date?: string | null` (query parameter) UTC date in YYYY-MM-DD format. The day to get skill usage for. Data is typically available with a 1-day lag (varies by query; the error for a too-recent date names the latest available day) and may be revised by a few percent over the following days. No earlier than 2026-01-01. format: date - `ending_date?: string | null` (query parameter) UTC date in YYYY-MM-DD format. End of the date range (exclusive); only valid with `starting_date`. Data is typically available with a 1-day lag (varies by query; the error for a too-recent date names the latest available day), so this can be at most today — which is also the default when omitted, resolved once when the first page is served and reused for the rest of the pagination sequence. At most 366 days after `starting_date`. format: date - `filter?: Array | null` (query parameter) Filters as `dimension:value`, e.g. `filter[]=rbac_group_id:{id}`. Repeat the param for OR within a dimension and across dimensions for AND. Supported dimensions on this endpoint: `product`, `rbac_group_id`, `share_status`, `skill_name`, `user_id`. Value forms: `product` is one of `chat_cowork_unified`, `chat`, `claude_code`, `cowork`, or `office_agent`; `rbac_group_id` takes the tagged id (`rbac_group_...`, as emitted in responses and by the spend-limits API) or a bare group UUID, and matches users who held the group at any point during each covered UTC day (time-of-usage attribution); `share_status` is one of `organization`, `private`, or `public`; `skill_name` matches case-insensitively; `user_id` takes a tagged user id (`user_...`), as emitted in responses. An unsupported dimension returns 400. At most 100 entries. `chat_cowork_unified` is accepted as a `product` value only on deployments that offer Chat and Cowork unified. maxItems: 100 - `group_by?: Array<"product" | "rbac_group_id" | "user_id"> | null` (query parameter) Dimensions to break results out by (e.g. `group_by[]=user_id`). Supported on this endpoint: `product`, `rbac_group_id`, `user_id`. Grouped rows carry the requested dimension values as additional fields and paginate like ungrouped responses via `next_page`; an unsupported dimension returns 400. `rbac_group_id` attributes a user to every group they held at any point during each covered UTC day, so grouped rows are not an exclusive partition and can sum above org-level totals. At most 100 entries. maxItems: 100 - `"product"` - `"rbac_group_id"` - `"user_id"` - `limit?: number | null` (query parameter) Number of results per page (1-1000, default 100). minimum: 1, maximum: 1000 - `order?: "asc" | "desc" | null` (query parameter) Sort direction: `asc` or `desc`. Defaults to `asc` for the endpoint's sort column and to `desc` when `order_by` names a metric (a top-N ranking). Applies to `order_by`, or to the endpoint's default sort field when `order_by` is omitted. - `"asc"` - `"desc"` - `order_by?: string | null` (query parameter) Sort field. Restricted to the endpoint's sort column plus its rankable metrics (metrics default to descending; a few metrics rank in date-range mode only, per the endpoint's documented orderable set). - `page?: string | null` (query parameter) Opaque cursor from a previous response's `next_page` field. - `starting_date?: string | null` (query parameter) UTC date in YYYY-MM-DD format. Start of a date range (inclusive). Enables rollup mode: one row per entity aggregated over the whole range — addable counters are summed across days, and a distinct count is never summed where summing could double-count (a field's range value is recomputed exactly over the window, approximate via HLL with typical error under 2%, null, or — for the creation-event counts, whose per-day values cannot overlap — a per-day sum that is itself exact; each field's own description says which). Use either `date` or `starting_date`, not both. Data is typically available with a 1-day lag (varies by query; the error for a too-recent date names the latest available day) and may be revised by a few percent over the following days. No earlier than 2026-01-01. format: date #### Returns - `interface BetaAnalyticsSkillActivity` Per-skill activity data for a given day. - `chat_metrics: BetaAnalyticsSkillChatMetrics` Claude.ai activity metrics for a single skill on a given day. - `distinct_conversation_skill_used_count: number | null` Number of distinct conversations in which the skill was used. A skill counts as used only when it is explicitly activated — the model (or the user, via the skill's slash command) invokes it, reading its instructions into context as part of that activation. Skills that are merely installed or listed as available, or whose content reaches the context without an activation (preloaded, hook-injected, or read as a plain file), are not counted. Approximate (HLL, typical error <2%) in date-range mode. Null on aggregated rows where a distinct count cannot be computed. - `claude_code_metrics: BetaAnalyticsSkillClaudeCodeMetrics` Claude Code activity metrics for a single skill on a given day. - `distinct_session_skill_used_count: number | null` Number of distinct Claude Code sessions in which the skill was used. A skill counts as used only when it is explicitly activated — the model (or the user, via the skill's slash command) invokes it, reading its instructions into context as part of that activation. Skills that are merely installed or listed as available, or whose content reaches the context without an activation (preloaded, hook-injected, or read as a plain file), are not counted. Approximate (HLL, typical error <2%) in date-range mode. Null on aggregated rows where a distinct count cannot be computed. - `cowork_metrics: BetaAnalyticsSkillCoworkMetrics` Cowork activity metrics for a single skill on a given day. - `distinct_session_skill_used_count: number | null` Number of distinct Cowork sessions in which the skill was used. A skill counts as used only when it is explicitly activated — the model (or the user, via the skill's slash command) invokes it, reading its instructions into context as part of that activation. Skills that are merely installed or listed as available, or whose content reaches the context without an activation (preloaded, hook-injected, or read as a plain file), are not counted. Approximate (HLL, typical error <2%) in date-range mode. Null on aggregated rows where a distinct count cannot be computed. - `distinct_user_count: number` Number of distinct users who used the skill on the requested day, or, in date-range mode, over the requested window — recomputed as an exact distinct count over the window's per-member daily rows, never a sum of per-day values. A skill counts as used only when it is explicitly activated — the model (or the user, via the skill's slash command) invokes it, reading its instructions into context as part of that activation. Skills that are merely installed or listed as available, or whose content reaches the context without an activation (preloaded, hook-injected, or read as a plain file), are not counted. - `office_metrics: BetaAnalyticsSkillOfficeMetrics` Office Agent activity metrics for a single skill on a given day, broken out by Office product. - `excel: BetaAnalyticsSkillOfficeProductMetrics` Office Agent activity metrics for a single skill on a given day within one Office product. - `distinct_session_skill_used_count: number | null` Number of distinct Office Agent sessions in which the skill was used. A skill counts as used only when it is explicitly activated — the model (or the user, via the skill's slash command) invokes it, reading its instructions into context as part of that activation. Skills that are merely installed or listed as available, or whose content reaches the context without an activation (preloaded, hook-injected, or read as a plain file), are not counted. Approximate (HLL, typical error <2%) in date-range mode. Null on aggregated rows where a distinct count cannot be computed. - `outlook: BetaAnalyticsSkillOfficeProductMetrics` Office Agent activity metrics for a single skill on a given day within one Office product. - `powerpoint: BetaAnalyticsSkillOfficeProductMetrics` Office Agent activity metrics for a single skill on a given day within one Office product. - `word: BetaAnalyticsSkillOfficeProductMetrics` Office Agent activity metrics for a single skill on a given day within one Office product. - `skill_name: string` Name of the skill - `attributed_list_price?: string | null` List-price (rate-card) value of the member requests attributed to this skill, as a decimal string in the minor unit of `currency` (cents for USD), from Claude Code, Cowork, and Office Agent request-level attribution — the value of requests that involved the skill, not the skill's incremental cost. Unlike `estimated_overage_spend` this reflects usage value regardless of how it was funded — seat-covered usage counts — but it is undiscounted and does not tie to billed spend or the organization's spend reporting. claude.ai chat usage carries no request-level attribution and contributes nothing: the field is null on `chat` product rows and on `office_agent` product cuts dated before 2026-06-18 (the Office Agent attribution data-start), and on ungrouped rows it covers the Claude Code + Cowork + Office Agent share only (null when no attributable usage exists). Also null under the same conditions as `estimated_overage_spend` (spend reporting not enabled for this organization, `office_agent` product cuts before the 2026-06-18 data-start). "0" means attributable usage existed but none was attributed to this skill. Addable across days: date-range rollup mode returns the window's sum. On `group_by[]` and `filter[]` shapes both amounts can total below the ungrouped value for the same skill over the same date or range: spend attributed to a member–skill pair with no counted usage on that day is excluded from those cuts. - `chat_cowork_unified_metrics?: ChatCoworkUnifiedMetrics | null` Skill use recorded while members had Chat and Cowork unified (Cowork's features inside claude.ai chat) turned on, split into chat conversations and Cowork sessions. A count is null in date-range mode where it cannot be computed. Omitted from the response on deployments that do not offer Chat and Cowork unified. - `chat: BetaAnalyticsSkillChatCoworkUnifiedChatMetrics` A skill's use in chat conversations recorded while members had Chat and Cowork unified turned on. - `distinct_conversation_skill_used_count: number | null` Same measure as `chat_metrics.distinct_conversation_skill_used_count`, for activity recorded while members had Chat and Cowork unified turned on. Approximate (HLL, typical error <2%) in date-range mode. Null on aggregated rows where a distinct count cannot be computed. - `sessions: BetaAnalyticsSkillChatCoworkUnifiedSessionsMetrics` A skill's use in Cowork sessions recorded while members had Chat and Cowork unified turned on. - `distinct_session_skill_used_count: number | null` Same measure as `cowork_metrics.distinct_session_skill_used_count`, for activity recorded while members had Chat and Cowork unified turned on. Approximate (HLL, typical error <2%) in date-range mode. Null on aggregated rows where a distinct count cannot be computed. - `currency?: string | null` Currency for this row's monetary fields (`estimated_overage_spend` and `attributed_list_price`), as an uppercase ISO-4217 code. Always "USD" when either amount is populated; null whenever both amounts are null. - `enable_count?: number | null` Distinct accounts that enabled this skill on the requested day (claude.ai only — the skill analog of plugin `install_count`). The count is org-wide: null when enable reporting is not enabled for this organization, or when the request scopes to `user_id` / `rbac_group_id` / `product` via `group_by[]` or `filter[]` (an org-wide count would be misleading on per-cut rows). A distinct count, not an event count: summing across days double-counts members who enable the skill on more than one day, so it is also null in date-range rollup mode (`starting_date`/`ending_date`). - `estimated_overage_spend?: string | null` Estimated overage spend attributed to this skill, as a decimal string in the minor unit of `currency` (cents for USD; "1250" is $12.50, fractional cents possible) — an allocation of each member's daily post-discount, pre-credit metered overage spend (the same cost basis as the organization's spend reporting and the Cost & Usage API, so per-skill figures are directly comparable; spend with no skill attribution — including any member-day without skill invocations — is not represented, so skill rows sum to at most those totals) across the skills the member used. Overage only: usage covered by included seat allowances bills nothing and allocates $0 here — see `attributed_list_price` for the funding-independent usage-value companion. Claude Code, Cowork, and Office Agent spend use request-level skill attribution; claude.ai chat spend is approximated proportionally to skill-invoking messages. An estimate, not a billing number — and the cost of the requests/messages that involved the skill, not the skill's incremental cost (the same request would still have cost something without the skill active). "0" means no overage spend was attributed; null when spend reporting is not enabled for this organization, on `office_agent` product cuts dated before 2026-06-18 (the Office Agent attribution data-start). Addable across days: date-range rollup mode (`starting_date`/`ending_date`) returns the window's sum. With `group_by[]=user_id` each row carries the user's own attributed spend. On `group_by[]` and `filter[]` shapes both amounts can total below the ungrouped value for the same skill over the same date or range: spend attributed to a member–skill pair with no counted usage on that day is excluded from those cuts. - `invocation_count?: number | null` Total number of times this skill was invoked on the requested day (the skill analog of plugin `invocation_count`). Unlike `distinct_user_count` — which answers '\# of users' — this is the true '# of uses'. A skill counts as used only when it is explicitly activated — the model (or the user, via the skill's slash command) invokes it, reading its instructions into context as part of that activation. Skills that are merely installed or listed as available, or whose content reaches the context without an activation (preloaded, hook-injected, or read as a plain file), are not counted. Null when invocation reporting is not enabled for this organization. Sum across a date range for total uses in the window — date-range rollup mode (`starting_date`/`ending_date`) returns this sum directly. - `product?: string | null` Product that produced this row's activity: one of `chat`, `claude_code`, `cowork`, `office_agent`, or `chat_cowork_unified` (Chat and Cowork unified). These are the canonical Cost & Usage product names; an `office_agent` row's per-surface breakdown is in its `office_metrics`. On `/plugins` only `cowork`, `claude_code` and `chat_cowork_unified` occur (the only surfaces with plugin attribution); on `/artifacts` only `chat`, `claude_code`, `cowork` and `chat_cowork_unified` occur (the surfaces that create artifacts); `/apps/chat/projects` does not support the product dimension (a `product` entry in `group_by[]` or `filter[]` there is rejected). Present only when the request grouped by `product`. - `rbac_group_id?: string | null` Tagged RBAC group identifier (`rbac_group_...`), matching the spend-limits API spelling. Present only when the request grouped by `rbac_group_id`. - `rbac_group_name?: string | null` Resolved RBAC group display name, alongside `rbac_group_id` when name resolution is available. Null if the group has been deleted or its name could not be resolved; `rbac_group_id` remains the stable key. - `share_status?: "organization" | "private" | "public" | null` Skill share status (claude.ai only): one of `private`, `organization`, or `public`. Null for skills used only in Claude Code or Office (no per-skill share-status concept) and when share-status reporting is not yet available for the organization. Filterable via `filter[]=share_status:{value}`. - `"organization"` - `"private"` - `"public"` - `skill_display_name?: string | null` Human-readable display name for rows whose `skill_name` is an opaque skill id (user/organization skill types and plugin-delivered skills, whose user-defined names usage reports generally withhold). Organization-shared skills and skills delivered by the organization's own plugins (its plugin marketplaces and its library) resolve; plugin skill names are shown without their 'plugin:' prefix. The literal 'unknown' bucket row gets a fixed 'Unknown skill' label. For a member's own skill (private or personal-plugin) it is null, except when the skill's owner used it from Claude Code or Cowork in the requested period: then it shows the name that client reported at the time. Apart from that, the names of members' own skills are not disclosed to analytics-key holders. Also null for Anthropic-provided plugin skills (not resolved), for an organization skill or plugin whose name can no longer be found (for example, one since deleted), when `skill_name` is already a display name, or when display-name resolution is not enabled for this organization. - `user_id?: string | null` Tagged user identifier (e.g. `user_...`). Present only when the request grouped by `user_id`. #### Example ```typescript import Anthropic from "@anthropic-ai/sdk"; const client = new Anthropic({ apiKey: process.env["ANTHROPIC_API_KEY"] // This is the default and can be omitted }); // Automatically fetches more pages as needed. for await (const betaAnalyticsSkillActivity of client.beta.organization.analytics.skills.list()) { console.log(betaAnalyticsSkillActivity.rbac_group_id); } ``` ##### Response (200) ```json { "data": [ { "chat_metrics": { "distinct_conversation_skill_used_count": 0 }, "claude_code_metrics": { "distinct_session_skill_used_count": 0 }, "cowork_metrics": { "distinct_session_skill_used_count": 0 }, "distinct_user_count": 0, "office_metrics": { "excel": { "distinct_session_skill_used_count": 0 }, "outlook": { "distinct_session_skill_used_count": 0 }, "powerpoint": { "distinct_session_skill_used_count": 0 }, "word": { "distinct_session_skill_used_count": 0 } }, "skill_name": "skill_name", "attributed_list_price": "attributed_list_price", "chat_cowork_unified_metrics": { "chat": { "distinct_conversation_skill_used_count": 0 }, "sessions": { "distinct_session_skill_used_count": 0 } }, "currency": "currency", "enable_count": 0, "estimated_overage_spend": "estimated_overage_spend", "invocation_count": 0, "product": "product", "rbac_group_id": "rbac_group_id", "rbac_group_name": "rbac_group_name", "share_status": "organization", "skill_display_name": "skill_display_name", "user_id": "user_id" } ], "next_page": "next_page" } ``` ## Analytics › Artifacts ### Get Artifact Activity `client.beta.organization.analytics.artifacts.list(query, options?): PageCursor` **GET** `/v1/organizations/analytics/artifacts` Get artifact-creation activity for a given day, broken out by MIME type. Returns the full (`artifact_type`, `is_shared`) cube for the organization; `next_page` is null except for grouped queries, which paginate. The cube can be broken out per product, per member, or per RBAC group via `group_by[]`, and scoped via `filter[]`. Requires an API key with the `read:analytics` scope. #### Parameters - `query: ArtifactListParams` - `date: string` (query parameter) UTC date in YYYY-MM-DD format. The day to get artifact activity for. Data is typically available with a 1-day lag (varies by query; the error for a too-recent date names the latest available day) and may be revised by a few percent over the following days. No earlier than 2026-01-01. format: date - `filter?: Array | null` (query parameter) Filters as `dimension:value`, e.g. `filter[]=rbac_group_id:{id}`. Repeat the param for OR within a dimension and across dimensions for AND. Supported dimensions on this endpoint: `artifact_type`, `is_shared`, `product`, `rbac_group_id`, `user_id`. Value forms: `artifact_type` is a canonical artifact MIME type (e.g. `text/markdown`) or `other`; `is_shared` is `true` or `false`; `product` is `chat_cowork_unified`, `chat`, `claude_code`, or `cowork` (the surfaces that create artifacts); `rbac_group_id` takes the tagged id (`rbac_group_...`, as emitted in responses and by the spend-limits API) or a bare group UUID, and matches users who held the group at any point during each covered UTC day (time-of-usage attribution); `user_id` takes a tagged user id (`user_...`), as emitted in responses. An unsupported dimension returns 400. At most 100 entries. `chat_cowork_unified` is accepted as a `product` value only on deployments that offer Chat and Cowork unified. maxItems: 100 - `group_by?: Array<"product" | "rbac_group_id" | "user_id"> | null` (query parameter) Dimensions to break results out by: `product`, `user_id` and/or `rbac_group_id`. The ungrouped artifact-type cube is finite and returned in full; grouped queries multiply the cube and paginate via `next_page`. `product` takes the values `chat_cowork_unified`, `chat`, `claude_code`, or `cowork` (the surfaces that create artifacts). `rbac_group_id` attributes a user to every group they held at any point during the requested UTC day, so grouped rows are not an exclusive partition. At most 100 entries. maxItems: 100 - `"product"` - `"rbac_group_id"` - `"user_id"` - `limit?: number | null` (query parameter) Maximum rows to return (1-1000, default 100). The ungrouped artifact-type cube is finite and returned in full; `limit` is the page size only when `group_by[]` multiplies the cube. minimum: 1, maximum: 1000 - `page?: string | null` (query parameter) Opaque cursor from a previous response's `next_page` field. Only valid with `group_by[]` — the ungrouped cube is never paginated. #### Returns - `interface BetaAnalyticsArtifactActivity` Artifact-creation activity for one (`artifact_type`, `is_shared`) bucket on a given day. Artifacts form a small finite cube — the canonical MIME type (8 values incl. `other`) crossed with shared-vs-private — so the response is the full set of non-empty buckets, not a ranked/paginated list. Claude Code and Cowork artifacts report under `text/html` and are counted from 2026-08-17 onward; earlier days contain claude.ai chat artifacts only. With `group_by[]=product` / `user_id` / `rbac_group_id` each row is further split by the flat group keys and counts are scoped to that cut. - `artifact_type: string` Canonical artifact MIME type (e.g. `text/markdown`, `application/vnd.ant.react`, `image/svg+xml`), or `other`. Claude Code and Cowork artifacts report as `text/html`. - `artifacts_created_count: number` Number of artifacts created in this bucket on the requested day - `distinct_user_count: number` Number of distinct users who created artifacts in this bucket on the requested day - `is_shared: boolean` Whether the artifacts in this bucket have ever been shared (a Claude Code / Cowork artifact is shared once anyone beyond its creator may open it: named members, the whole organization, or anyone with the link). - `published_artifacts_created_count: number` Number of those artifacts that have been published (for Claude Code / Cowork artifacts: open to anyone with the link); never exceeds `artifacts_created_count` - `product?: string | null` Product that produced this row's activity: one of `chat`, `claude_code`, `cowork`, `office_agent`, or `chat_cowork_unified` (Chat and Cowork unified). These are the canonical Cost & Usage product names; an `office_agent` row's per-surface breakdown is in its `office_metrics`. On `/plugins` only `cowork`, `claude_code` and `chat_cowork_unified` occur (the only surfaces with plugin attribution); on `/artifacts` only `chat`, `claude_code`, `cowork` and `chat_cowork_unified` occur (the surfaces that create artifacts); `/apps/chat/projects` does not support the product dimension (a `product` entry in `group_by[]` or `filter[]` there is rejected). Present only when the request grouped by `product`. - `rbac_group_id?: string | null` Tagged RBAC group identifier (`rbac_group_...`), matching the spend-limits API spelling. Present only when the request grouped by `rbac_group_id`. - `rbac_group_name?: string | null` Resolved RBAC group display name, alongside `rbac_group_id` when name resolution is available. Null if the group has been deleted or its name could not be resolved; `rbac_group_id` remains the stable key. - `user_id?: string | null` Tagged user identifier (e.g. `user_...`). Present only when the request grouped by `user_id`. #### Example ```typescript import Anthropic from "@anthropic-ai/sdk"; const client = new Anthropic({ apiKey: process.env["ANTHROPIC_API_KEY"] // This is the default and can be omitted }); // Automatically fetches more pages as needed. for await (const betaAnalyticsArtifactActivity of client.beta.organization.analytics.artifacts.list( { date: "2019-12-27" } )) { console.log(betaAnalyticsArtifactActivity.rbac_group_id); } ``` ##### Response (200) ```json { "data": [ { "artifact_type": "artifact_type", "artifacts_created_count": 0, "distinct_user_count": 0, "is_shared": true, "published_artifacts_created_count": 0, "product": "product", "rbac_group_id": "rbac_group_id", "rbac_group_name": "rbac_group_name", "user_id": "user_id" } ], "next_page": "next_page" } ``` ## Analytics › Usage Report ### Get Token Usage Over Time `client.beta.organization.analytics.usageReport.list(query, options?): PageCursor` **GET** `/v1/organizations/analytics/usage_report` Get token usage over time across a date range. Returns token usage bucketed by minute, hour, or day, optionally broken down by product, model, context window, inference region, or speed. Available to organizations on a Claude Enterprise plan. Requires an API key with the `read:analytics` scope. #### Parameters - `query: UsageReportListParams` - `starting_at: string` (query parameter) Start of range, inclusive. RFC 3339 tz-aware. Must be within the last 365 days and no earlier than 2026-01-01T00:00:00Z. format: date-time - `bucket_width?: "1d" | "1h" | "1m"` (query parameter) Time bucket granularity. - `"1d"` - `"1h"` - `"1m"` - `claude_tag_categories?: Array | null` (query parameter) Filter to Claude Tag (Claude in Slack) usage in specific spend categories. Usage with no category never matches. `dm` usage is reported under the user's product rather than `claude-tag`, so combining this filter with `products[]=claude-tag` excludes it. Use `group_by[]=claude_tag_category` to break out per-category values. maxItems: 100 - `"dm"` - `"engaged"` - `"monitoring"` - `"proactive"` - `"scheduled"` - `claude_tag_user_ids?: Array | null` (query parameter) Filter to Claude Tag (Claude in Slack) usage attributed to specific Slack users, by Slack user ID (for example `U0123ABCDEF`), not claude.ai user ID. Usage that is not Claude Tag, and Claude Tag usage not attributed to a single user, never matches. Use `group_by[]=claude_tag_user_id` to break out per-user values. maxItems: 100 - `context_windows?: Array | null` (query parameter) Filter to specific context-window pricing tiers. Use `group_by[]=context_window` to break out per-tier values. maxItems: 100 - `"0-200k"` - `"200k-1M"` - `ending_at?: string | null` (query parameter) End of range, exclusive. When omitted, defaults to the earlier of now and `starting_at` + 31 days. The range may span at most 31 days. format: date-time - `group_by?: Array<"claude_tag_category" | "claude_tag_user_id" | "context_window" | 6 more> | null` (query parameter) Dimensions to break each time bucket out by. Defaults to no grouping (one total per bucket). Each bucket reports at most its top 100 groups; a group beyond that cap has no row in that bucket (there is no remainder row), so grouped buckets are not exhaustive when a dimension has more than 100 distinct values. maxItems: 100 - `"claude_tag_category"` - `"claude_tag_user_id"` - `"context_window"` - `"inference_geo"` - `"model"` - `"product"` - `"rbac_group_id"` - `"slack_channel_id"` - `"speed"` - `inference_geos?: Array | null` (query parameter) Filter to specific inference regions. `not_available` matches rows where the region is unset. Use `group_by[]=inference_geo` to break out per-region values. maxItems: 100 - `"global"` - `"not_available"` - `"us"` - `limit?: number | null` (query parameter) Maximum number of time buckets per page. Defaults and caps vary by `bucket_width` (`1d`: default 7, max 31; `1h`: default 24, max 168; `1m`: default 60, max 256). minimum: 1 - `models?: Array | null` (query parameter) Models to include. Defaults to all models. Use `group_by[]=model` to break out per-model values. maxItems: 100 - `page?: string | null` (query parameter) Opaque cursor from a previous response's `next_page` field. - `products?: Array | null` (query parameter) Product surfaces to include. Defaults to all products. Use `group_by[]=product` to break out per-product values. maxItems: 100 - `"chat"` - `"chat_cowork_unified"` - `"claude-tag"` - `"claude_code"` - `"claude_design"` - `"claude_in_chrome"` - `"cowork"` - `"office_agent"` - `rbac_group_ids?: Array | null` (query parameter) Filter to usage attributed to specific RBAC groups. Accepts tagged RBAC group IDs (`rbac_group_...`) or bare group UUIDs. A row matches when the user belonged to any of the listed groups on the (UTC) day the usage occurred; usage with no group attribution never matches. maxItems: 100 - `slack_channel_ids?: Array | null` (query parameter) Filter to usage originating from specific Slack channels. Use `group_by[]=slack_channel_id` to break out per-channel values. maxItems: 100 - `speeds?: Array<"fast" | "standard"> | null` (query parameter) Filter to fast or standard inference mode. Use `group_by[]=speed` to break out per-mode values. maxItems: 100 - `"fast"` - `"standard"` - `user_ids?: Array | null` (query parameter) Filter to specific users by tagged user ID. maxItems: 100 #### Returns - `interface BetaAnalyticsUsageReportTimeBucket` - `ending_at: string` End of the time bucket (exclusive) in RFC 3339 format. format: date-time - `results: Array` Rows for this time bucket. Empty when the bucket has no data; otherwise a single combined row when `group_by[]` is omitted, or one row per group (subject to the per-bucket group cap described on the `group_by[]` parameter). - `cache_creation: BetaCacheCreation` The number of input tokens for cache creation. - `ephemeral_1h_input_tokens: number` The number of input tokens used to create the 1 hour cache entry. default: 0, minimum: 0 - `ephemeral_5m_input_tokens: number` The number of input tokens used to create the 5 minute cache entry. default: 0, minimum: 0 - `cache_read_input_tokens: number` The number of input tokens read from the cache. - `claude_tag_category: BetaAnalyticsClaudeTagCategory | null` Claude Tag (Claude in Slack) spend category: `engaged` (a person addressed Claude in a channel or thread), `proactive` (Claude responded without being addressed), `scheduled` (a scheduled routine ran), `monitoring` (Claude watching a channel it was asked to monitor), or `dm` (direct messages with Claude). Populated only when `claude_tag_category` is in `group_by[]`; null for usage that is not Claude Tag. Direct-message usage is billed to the individual user and is reported under that user's product, not under `claude-tag`. New categories may be added over time. - `"dm"` - `"engaged"` - `"monitoring"` - `"proactive"` - `"scheduled"` - `claude_tag_user_id: string | null` Slack user ID (for example `U0123ABCDEF`) of the member the Claude Tag (Claude in Slack) usage is attributed to, not a claude.ai user ID. Populated only when `claude_tag_user_id` is in `group_by[]`; null for usage that is not Claude Tag and for Claude Tag usage that is not attributed to a single user (for example `monitoring`, and `proactive` usage Claude initiated), so per-user rows can sum to less than the Claude Tag total. Cannot be combined with `group_by[]=rbac_group_id` or the `rbac_group_ids[]` filter. - `context_window: BetaAnalyticsContextWindow | null` Context-window pricing tier of the usage or cost. Null unless `context_window` is in `group_by[]`; it can also be null on grouped rows with no context-window tier, such as code execution. - `"0-200k"` - `"200k-1M"` - `inference_geo: "global" | "us" | null` Inference region of the usage or cost. Null unless `inference_geo` is in `group_by[]`; it can also be null on grouped rows where the region is not set (the rows that `inference_geos[]=not_available` matches). - `"global"` - `"us"` - `model: string | null` Model that produced the usage or cost, as a model name in the form the `models[]` filter accepts (for example, `claude-opus-5`). Null unless `model` is in `group_by[]`; it can also be null on grouped rows whose usage or cost is not attributed to a specific model, such as code execution. - `output_tokens: number` The number of output tokens generated. - `product: string | null` Product surface that produced the usage or cost. Null unless product is in `group_by[]`; it can also be null on grouped rows whose usage cannot be attributed to a known surface. Values include `chat`, `claude_code`, `cowork`, `office_agent`, `claude_in_chrome`, `claude_design`, `claude-tag`, and `chat_cowork_unified`. `claude-tag` is Claude Tag, the Claude product in Slack. `chat_cowork_unified` is Chat and Cowork unified, Cowork's features inside claude.ai chat: chat and Cowork usage by a member who has it turned on is reported under this value instead of `chat` or `cowork`. It is accepted as a filter only on deployments that offer Chat and Cowork unified. Some unattributed usage is reported as "other". - `rbac_group_id: string | null` RBAC group (team) the usage is attributed to, in the public tagged `rbac_group_...` spelling — the same spelling the activity resources use for this key, so the same team has one id across resources and it round-trips as an `rbac_group_ids[]` filter value. Populated only when `rbac_group_id` is in `group_by[]`. Any-membership semantics: a user in several groups contributes their full usage to each of those groups' rows, so the named-group rows overlap and their sum can exceed the org total. A null value is the single unassigned row: users in no group on that (UTC) day. For the true org total, run the same query without `group_by[]`. - `requests: number | null` Number of API requests in this row's scope. For sandbox / code-execution events, this counts execution spans rather than HTTP requests (these rows surface with `product: null`). - `server_tool_use: BetaAnalyticsServerToolUse` Server-side tool usage metrics. - `web_search_requests: number` The number of web search requests made. - `slack_channel_id: string | null` Slack channel the usage originated from. Populated only when `slack_channel_id` is in `group_by[]`; null for usage outside Slack (and for rows recorded before channel attribution was enabled). - `speed: "fast" | "standard" | null` Inference speed mode of the usage or cost: `fast` or `standard`. Null unless `speed` is in `group_by[]`. - `"fast"` - `"standard"` - `uncached_input_tokens: number` The number of uncached input tokens processed. - `starting_at: string` Start of the time bucket (inclusive) in RFC 3339 format. format: date-time #### Example ```typescript import Anthropic from "@anthropic-ai/sdk"; const client = new Anthropic({ apiKey: process.env["ANTHROPIC_API_KEY"] // This is the default and can be omitted }); // Automatically fetches more pages as needed. for await (const betaAnalyticsUsageReportTimeBucket of client.beta.organization.analytics.usageReport.list( { starting_at: "2019-12-27T18:11:19.117Z" } )) { console.log(betaAnalyticsUsageReportTimeBucket.ending_at); } ``` ##### Response (200) ```json { "data": [ { "ending_at": "2019-12-27T18:11:19.117Z", "results": [ { "cache_creation": { "ephemeral_1h_input_tokens": 0, "ephemeral_5m_input_tokens": 0 }, "cache_read_input_tokens": 0, "claude_tag_category": "dm", "claude_tag_user_id": "U0123ABCDEF", "context_window": "0-200k", "inference_geo": "global", "model": "claude-opus-5", "output_tokens": 0, "product": "chat", "rbac_group_id": "rbac_group_012rppKaSVsmTo6NqRDXQXNF", "requests": 0, "server_tool_use": { "web_search_requests": 10 }, "slack_channel_id": "C0123ABCDEF", "speed": "fast", "uncached_input_tokens": 0 } ], "starting_at": "2019-12-27T18:11:19.117Z" } ], "data_refreshed_at": "2019-12-27T18:11:19.117Z", "has_more": true, "next_page": "next_page", "organization_id": "org_013FP9SaFPBg7Kw7fetjn6cF" } ``` ## Analytics › User Usage Report ### Get Per-User Token Usage `client.beta.organization.analytics.userUsageReport.list(query, options?): PageCursor` **GET** `/v1/organizations/analytics/user_usage_report` Get per-user token usage across a date range. Returns one row per user, ranked by the chosen token metric. Use this to see which users consume the most tokens. Only usage attributable to a seat user is included; for organization-wide totals including direct API-key and automation traffic, use the bucketed `/v1/organizations/analytics/usage_report` endpoint. Available to organizations on a Claude Enterprise plan. Requires an API key with the `read:analytics` scope. #### Parameters - `query: UserUsageReportListParams` - `starting_at: string` (query parameter) Start of range, inclusive. RFC 3339 tz-aware. Must be within the last 365 days and no earlier than 2026-01-01T00:00:00Z. format: date-time - `bucket_width?: "1d" | "1h" | "1m" | null` (query parameter) Time-bucket granularity. When set, each row's `starting_at` and `ending_at` are populated and one actor may span several rows (one per time bucket with usage). The time bucket counts toward `limit`, so one page can return multiple rows for the same actor. `ending_at` is required when `bucket_width` is set, and with `bucket_width="1m"` the range may span at most 24 hours. When omitted, each row aggregates the full `[starting_at, ending_at)` range. - `"1d"` - `"1h"` - `"1m"` - `claude_tag_categories?: Array | null` (query parameter) Filter to Claude Tag (Claude in Slack) usage in specific spend categories. Usage with no category never matches. `dm` usage is reported under the user's product rather than `claude-tag`, so combining this filter with `products[]=claude-tag` excludes it. Use `group_by[]=claude_tag_category` to break out per-category values. maxItems: 100 - `"dm"` - `"engaged"` - `"monitoring"` - `"proactive"` - `"scheduled"` - `claude_tag_user_ids?: Array | null` (query parameter) Filter to Claude Tag (Claude in Slack) usage attributed to specific Slack users, by Slack user ID (for example `U0123ABCDEF`), not claude.ai user ID. Usage that is not Claude Tag, and Claude Tag usage not attributed to a single user, never matches. Use `group_by[]=claude_tag_user_id` to break out per-user values. maxItems: 100 - `context_windows?: Array | null` (query parameter) Filter to specific context-window pricing tiers. Use `group_by[]=context_window` to break out per-tier values. maxItems: 100 - `"0-200k"` - `"200k-1M"` - `ending_at?: string | null` (query parameter) End of range, exclusive. When omitted, defaults to the earlier of now and `starting_at` + 31 days. The range may span at most 31 days. format: date-time - `exclude_deleted_users?: boolean` (query parameter) If true, omit rows for users who are deleted (`deleted: true`). A page may contain fewer than `limit` rows; use `has_more` and `next_page` to paginate as usual. - `group_by?: Array<"claude_tag_category" | "claude_tag_user_id" | "context_window" | 6 more> | null` (query parameter) Break each actor's row out by the given dimensions. Accepts the same values as the bucketed `/usage_report` endpoint. `limit` bounds (actor × time bucket × dimension) rows — with dimensions or `bucket_width` present, one actor may span several rows. maxItems: 100 - `"claude_tag_category"` - `"claude_tag_user_id"` - `"context_window"` - `"inference_geo"` - `"model"` - `"product"` - `"rbac_group_id"` - `"slack_channel_id"` - `"speed"` - `inference_geos?: Array | null` (query parameter) Filter to specific inference regions. `not_available` matches rows where the region is unset. Use `group_by[]=inference_geo` to break out per-region values. maxItems: 100 - `"global"` - `"not_available"` - `"us"` - `limit?: number` (query parameter) Number of rows per page (1-1000, default 20). One row per actor unless `group_by[]` or `bucket_width` splits an actor across rows; `cost_type`/`token_type` fan-out rows (cost endpoint only) are the exception — they do not count toward this limit, so `data` can exceed it. minimum: 1, maximum: 1000 - `models?: Array | null` (query parameter) Models to include. Defaults to all models. Use `group_by[]=model` to break out per-model values. maxItems: 100 - `order?: "asc" | "desc"` (query parameter) Sort direction. Defaults to `desc`. - `"asc"` - `"desc"` - `order_by?: "output_tokens" | "requests" | "total_tokens" | "uncached_input_tokens"` (query parameter) Metric to rank actors by. Defaults to `total_tokens`. - `"output_tokens"` - `"requests"` - `"total_tokens"` - `"uncached_input_tokens"` - `page?: string | null` (query parameter) Opaque cursor from a previous response's `next_page` field. - `products?: Array | null` (query parameter) Product surfaces to include. Defaults to all products. maxItems: 100 - `"chat"` - `"chat_cowork_unified"` - `"claude-tag"` - `"claude_code"` - `"claude_design"` - `"claude_in_chrome"` - `"cowork"` - `"office_agent"` - `rbac_group_ids?: Array | null` (query parameter) Filter to usage attributed to specific RBAC groups. Accepts tagged RBAC group IDs (`rbac_group_...`) or bare group UUIDs. A row matches when the user belonged to any of the listed groups on the (UTC) day the usage occurred; usage with no group attribution never matches. maxItems: 100 - `slack_channel_ids?: Array | null` (query parameter) Filter to usage originating from specific Slack channels. Use `group_by[]=slack_channel_id` to break out per-channel values. maxItems: 100 - `speeds?: Array<"fast" | "standard"> | null` (query parameter) Filter to fast or standard inference mode. Use `group_by[]=speed` to break out per-mode values. maxItems: 100 - `"fast"` - `"standard"` - `user_ids?: Array | null` (query parameter) Filter to specific users by tagged user ID. maxItems: 100 #### Returns - `interface BetaAnalyticsUsageUsersItem` - `actor: BetaAnalyticsUserActor` The user this row's usage or cost is attributed to. Always a `user_actor`. - `type: "user_actor"` Actor type. Always `"user_actor"`. - `deleted: boolean` True when the account has been deleted, or when the user is no longer a member of the organization or its associated organizations (for example, their membership was removed or they were deprovisioned via your identity provider). `email_address` stays populated for removed users and is null when the account has been deleted. `name` follows the rules described on that field. The `user_id` is still populated for reconciliation. - `email_address: string | null` The user's email address, including for users who are no longer members of the organization or its associated organizations. Null when the account has been deleted (check `deleted`) and for system-minted service accounts, which have no person's mailbox behind them (check `name`). - `name: string | null` The user's full name. Null when the user has not set a name. Returns `"Deleted User"` when the account itself has been deleted, or when the user is no longer a member of the organization or its associated organizations and the organization has chosen to hide the names of removed users. Otherwise, the name stays populated for removed users. Rows for system-minted service accounts render the service name (for example, `"Claude Security"` for usage by Anthropic's security-patching service) or null. - `user_id: string` Tagged user ID. - `cache_creation: BetaCacheCreation` The number of input tokens for cache creation. - `ephemeral_1h_input_tokens: number` The number of input tokens used to create the 1 hour cache entry. default: 0, minimum: 0 - `ephemeral_5m_input_tokens: number` The number of input tokens used to create the 5 minute cache entry. default: 0, minimum: 0 - `cache_read_input_tokens: number` The number of input tokens read from the cache. - `claude_tag_category: BetaAnalyticsClaudeTagCategory | null` Claude Tag (Claude in Slack) spend category: `engaged` (a person addressed Claude in a channel or thread), `proactive` (Claude responded without being addressed), `scheduled` (a scheduled routine ran), `monitoring` (Claude watching a channel it was asked to monitor), or `dm` (direct messages with Claude). Populated only when `claude_tag_category` is in `group_by[]`; null for usage that is not Claude Tag. Direct-message usage is billed to the individual user and is reported under that user's product, not under `claude-tag`. New categories may be added over time. - `"dm"` - `"engaged"` - `"monitoring"` - `"proactive"` - `"scheduled"` - `claude_tag_user_id: string | null` Slack user ID (for example `U0123ABCDEF`) of the member the Claude Tag (Claude in Slack) usage is attributed to, not a claude.ai user ID. Populated only when `claude_tag_user_id` is in `group_by[]`; null for usage that is not Claude Tag and for Claude Tag usage that is not attributed to a single user (for example `monitoring`, and `proactive` usage Claude initiated), so per-user rows can sum to less than the Claude Tag total. Cannot be combined with `group_by[]=rbac_group_id` or the `rbac_group_ids[]` filter. - `context_window: BetaAnalyticsContextWindow | null` Context-window pricing tier of the usage or cost. Null unless `context_window` is in `group_by[]`; it can also be null on grouped rows with no context-window tier, such as code execution. - `"0-200k"` - `"200k-1M"` - `ending_at: string | null` End of the row's UTC time bucket (exclusive), as an RFC 3339 timestamp; equal to `starting_at` plus one `bucket_width`. Null unless `bucket_width` is set. format: date-time - `inference_geo: "global" | "us" | null` Inference region of the usage or cost. Null unless `inference_geo` is in `group_by[]`; it can also be null on grouped rows where the region is not set (the rows that `inference_geos[]=not_available` matches). - `"global"` - `"us"` - `model: string | null` Model that produced the usage or cost, as a model name in the form the `models[]` filter accepts (for example, `claude-opus-5`). Null unless `model` is in `group_by[]`; it can also be null on grouped rows whose usage or cost is not attributed to a specific model, such as code execution. - `output_tokens: number` The number of output tokens generated. - `product: string | null` Product surface that produced the usage or cost. Null unless product is in `group_by[]`; it can also be null on grouped rows whose usage cannot be attributed to a known surface. Values include `chat`, `claude_code`, `cowork`, `office_agent`, `claude_in_chrome`, `claude_design`, `claude-tag`, and `chat_cowork_unified`. `claude-tag` is Claude Tag, the Claude product in Slack. `chat_cowork_unified` is Chat and Cowork unified, Cowork's features inside claude.ai chat: chat and Cowork usage by a member who has it turned on is reported under this value instead of `chat` or `cowork`. It is accepted as a filter only on deployments that offer Chat and Cowork unified. Some unattributed usage is reported as "other". - `rbac_group_id: string | null` RBAC group (team) the usage is attributed to, in the public tagged `rbac_group_...` spelling — the same spelling the activity resources use for this key, so the same team has one id across resources and it round-trips as an `rbac_group_ids[]` filter value. Populated only when `rbac_group_id` is in `group_by[]`. Any-membership semantics: a user in several groups contributes their full usage to each of those groups' rows, so the named-group rows overlap and their sum can exceed the org total. A null value is the single unassigned row: users in no group on that (UTC) day. For the true org total, run the same query without `group_by[]`. - `requests: number | null` Number of API requests in this row's scope. For sandbox / code-execution events, this counts execution spans rather than HTTP requests (these rows surface with `product: null`). - `server_tool_use: BetaAnalyticsServerToolUse` Server-side tool usage metrics. - `web_search_requests: number` The number of web search requests made. - `slack_channel_id: string | null` Slack channel the usage originated from. Populated only when `slack_channel_id` is in `group_by[]`; null for usage outside Slack (and for rows recorded before channel attribution was enabled). - `speed: "fast" | "standard" | null` Inference speed mode of the usage or cost: `fast` or `standard`. Null unless `speed` is in `group_by[]`. - `"fast"` - `"standard"` - `starting_at: string | null` Start of the row's UTC time bucket (inclusive), as an RFC 3339 timestamp. Null unless `bucket_width` is set; without `bucket_width`, each row aggregates the full requested range. format: date-time - `total_tokens: number` Total token count across all token types. This is the value the default `order_by` (`total_tokens`) sorts on. - `uncached_input_tokens: number` The number of uncached input tokens processed. #### Example ```typescript import Anthropic from "@anthropic-ai/sdk"; const client = new Anthropic({ apiKey: process.env["ANTHROPIC_API_KEY"] // This is the default and can be omitted }); // Automatically fetches more pages as needed. for await (const betaAnalyticsUsageUsersItem of client.beta.organization.analytics.userUsageReport.list( { starting_at: "2019-12-27T18:11:19.117Z" } )) { console.log(betaAnalyticsUsageUsersItem.claude_tag_user_id); } ``` ##### Response (200) ```json { "data": [ { "actor": { "deleted": true, "email": "jane@example.com", "email_address": "jane@example.com", "name": "Jane Smith", "type": "user_actor", "user_id": "user_01AbCdEfGhIjKlMnOpQrSt" }, "cache_creation": { "ephemeral_1h_input_tokens": 0, "ephemeral_5m_input_tokens": 0 }, "cache_read_input_tokens": 3200000, "claude_tag_category": "dm", "claude_tag_user_id": "U0123ABCDEF", "context_window": "0-200k", "ending_at": "2019-12-27T18:11:19.117Z", "inference_geo": "global", "model": "claude-opus-5", "output_tokens": 891000, "product": "chat", "rbac_group_id": "rbac_group_012rppKaSVsmTo6NqRDXQXNF", "requests": 128, "server_tool_use": { "web_search_requests": 10 }, "slack_channel_id": "C0123ABCDEF", "speed": "fast", "starting_at": "2019-12-27T18:11:19.117Z", "total_tokens": 5377000, "uncached_input_tokens": 1284500 } ], "data_refreshed_at": "2019-12-27T18:11:19.117Z", "has_more": true, "next_page": "next_page", "organization_id": "org_013FP9SaFPBg7Kw7fetjn6cF" } ``` ## Analytics › Cost Report ### Get Cost Over Time `client.beta.organization.analytics.costReport.list(query, options?): PageCursor` **GET** `/v1/organizations/analytics/cost_report` Get cost in USD over time across a date range. Returns cost bucketed by minute, hour, or day, optionally broken down by product, model, context window, inference region, speed, cost type, or token type. Available to organizations on a Claude Enterprise plan. Requires an API key with the `read:analytics` scope. #### Parameters - `query: CostReportListParams` - `starting_at: string` (query parameter) Start of range, inclusive. RFC 3339 tz-aware. Must be within the last 365 days and no earlier than 2026-01-01T00:00:00Z. format: date-time - `bucket_width?: "1d" | "1h" | "1m"` (query parameter) Time bucket granularity. - `"1d"` - `"1h"` - `"1m"` - `claude_tag_categories?: Array | null` (query parameter) Filter to Claude Tag (Claude in Slack) usage in specific spend categories. Usage with no category never matches. `dm` usage is reported under the user's product rather than `claude-tag`, so combining this filter with `products[]=claude-tag` excludes it. Use `group_by[]=claude_tag_category` to break out per-category values. maxItems: 100 - `"dm"` - `"engaged"` - `"monitoring"` - `"proactive"` - `"scheduled"` - `claude_tag_user_ids?: Array | null` (query parameter) Filter to Claude Tag (Claude in Slack) usage attributed to specific Slack users, by Slack user ID (for example `U0123ABCDEF`), not claude.ai user ID. Usage that is not Claude Tag, and Claude Tag usage not attributed to a single user, never matches. Use `group_by[]=claude_tag_user_id` to break out per-user values. maxItems: 100 - `context_windows?: Array | null` (query parameter) Filter to specific context-window pricing tiers. Use `group_by[]=context_window` to break out per-tier values. maxItems: 100 - `"0-200k"` - `"200k-1M"` - `ending_at?: string | null` (query parameter) End of range, exclusive. When omitted, defaults to the earlier of now and `starting_at` + 31 days. The range may span at most 31 days. format: date-time - `group_by?: Array<"claude_tag_category" | "claude_tag_user_id" | "context_window" | 8 more> | null` (query parameter) Dimensions to break each time bucket out by. Defaults to no grouping (one total per bucket). Each bucket reports at most its top 100 groups; a group beyond that cap has no row in that bucket (there is no remainder row), so grouped buckets are not exhaustive when a dimension has more than 100 distinct values. maxItems: 100 - `"claude_tag_category"` - `"claude_tag_user_id"` - `"context_window"` - `"cost_type"` - `"inference_geo"` - `"model"` - `"product"` - `"rbac_group_id"` - `"slack_channel_id"` - `"speed"` - `"token_type"` - `inference_geos?: Array | null` (query parameter) Filter to specific inference regions. `not_available` matches rows where the region is unset. Use `group_by[]=inference_geo` to break out per-region values. maxItems: 100 - `"global"` - `"not_available"` - `"us"` - `limit?: number | null` (query parameter) Maximum number of time buckets per page. Defaults and caps vary by `bucket_width` (`1d`: default 7, max 31; `1h`: default 24, max 168; `1m`: default 60, max 256). minimum: 1 - `models?: Array | null` (query parameter) Models to include. Defaults to all models. Use `group_by[]=model` to break out per-model values. maxItems: 100 - `page?: string | null` (query parameter) Opaque cursor from a previous response's `next_page` field. - `products?: Array | null` (query parameter) Product surfaces to include. Defaults to all products. Use `group_by[]=product` to break out per-product values. maxItems: 100 - `"chat"` - `"chat_cowork_unified"` - `"claude-tag"` - `"claude_code"` - `"claude_design"` - `"claude_in_chrome"` - `"cowork"` - `"office_agent"` - `rbac_group_ids?: Array | null` (query parameter) Filter to usage attributed to specific RBAC groups. Accepts tagged RBAC group IDs (`rbac_group_...`) or bare group UUIDs. A row matches when the user belonged to any of the listed groups on the (UTC) day the usage occurred; usage with no group attribution never matches. maxItems: 100 - `slack_channel_ids?: Array | null` (query parameter) Filter to usage originating from specific Slack channels. Use `group_by[]=slack_channel_id` to break out per-channel values. maxItems: 100 - `speeds?: Array<"fast" | "standard"> | null` (query parameter) Filter to fast or standard inference mode. Use `group_by[]=speed` to break out per-mode values. maxItems: 100 - `"fast"` - `"standard"` - `user_ids?: Array | null` (query parameter) Filter to specific users by tagged user ID. maxItems: 100 #### Returns - `interface BetaAnalyticsCostReportTimeBucket` - `ending_at: string` End of the time bucket (exclusive) in RFC 3339 format. format: date-time - `results: Array` Rows for this time bucket. Empty when the bucket has no data; otherwise a single combined row when `group_by[]` is omitted, or one row per group (subject to the per-bucket group cap described on the `group_by[]` parameter). - `amount: string` Amount (post-discount, pre-credit) in fractional cents. - `claude_tag_category: BetaAnalyticsClaudeTagCategory | null` Claude Tag (Claude in Slack) spend category: `engaged` (a person addressed Claude in a channel or thread), `proactive` (Claude responded without being addressed), `scheduled` (a scheduled routine ran), `monitoring` (Claude watching a channel it was asked to monitor), or `dm` (direct messages with Claude). Populated only when `claude_tag_category` is in `group_by[]`; null for usage that is not Claude Tag. Direct-message usage is billed to the individual user and is reported under that user's product, not under `claude-tag`. New categories may be added over time. - `"dm"` - `"engaged"` - `"monitoring"` - `"proactive"` - `"scheduled"` - `claude_tag_user_id: string | null` Slack user ID (for example `U0123ABCDEF`) of the member the Claude Tag (Claude in Slack) usage is attributed to, not a claude.ai user ID. Populated only when `claude_tag_user_id` is in `group_by[]`; null for usage that is not Claude Tag and for Claude Tag usage that is not attributed to a single user (for example `monitoring`, and `proactive` usage Claude initiated), so per-user rows can sum to less than the Claude Tag total. Cannot be combined with `group_by[]=rbac_group_id` or the `rbac_group_ids[]` filter. - `context_window: BetaAnalyticsContextWindow | null` Context-window pricing tier of the usage or cost. Null unless `context_window` is in `group_by[]`; it can also be null on grouped rows with no context-window tier, such as code execution. - `"0-200k"` - `"200k-1M"` - `cost_type: BetaAnalyticsCostType | null` Cost component when `group_by[]=cost_type`; null otherwise (amount is the combined total). - `"code_execution"` - `"tokens"` - `"web_search"` - `currency: string` Currency code for the cost amount. Currently always `"USD"`. default: USD - `inference_geo: "global" | "us" | null` Inference region of the usage or cost. Null unless `inference_geo` is in `group_by[]`; it can also be null on grouped rows where the region is not set (the rows that `inference_geos[]=not_available` matches). - `"global"` - `"us"` - `list_amount: string` List-price amount (pre-discount) in fractional cents. - `model: string | null` Model that produced the usage or cost, as a model name in the form the `models[]` filter accepts (for example, `claude-opus-5`). Null unless `model` is in `group_by[]`; it can also be null on grouped rows whose usage or cost is not attributed to a specific model, such as code execution. - `product: string | null` Product surface that produced the usage or cost. Null unless product is in `group_by[]`; it can also be null on grouped rows whose usage cannot be attributed to a known surface. Values include `chat`, `claude_code`, `cowork`, `office_agent`, `claude_in_chrome`, `claude_design`, `claude-tag`, and `chat_cowork_unified`. `claude-tag` is Claude Tag, the Claude product in Slack. `chat_cowork_unified` is Chat and Cowork unified, Cowork's features inside claude.ai chat: chat and Cowork usage by a member who has it turned on is reported under this value instead of `chat` or `cowork`. It is accepted as a filter only on deployments that offer Chat and Cowork unified. Some unattributed usage is reported as "other". - `rbac_group_id: string | null` RBAC group (team) the usage is attributed to, in the public tagged `rbac_group_...` spelling — the same spelling the activity resources use for this key, so the same team has one id across resources and it round-trips as an `rbac_group_ids[]` filter value. Populated only when `rbac_group_id` is in `group_by[]`. Any-membership semantics: a user in several groups contributes their full usage to each of those groups' rows, so the named-group rows overlap and their sum can exceed the org total. A null value is the single unassigned row: users in no group on that (UTC) day. For the true org total, run the same query without `group_by[]`. - `requests: number | null` Number of API requests in this row's scope. Null when `group_by` includes `cost_type` or `token_type` (the count has no per-component attribution; read it from the ungrouped response). For sandbox / code-execution events, this counts execution spans rather than HTTP requests (these rows surface with `product: null`). - `slack_channel_id: string | null` Slack channel the usage originated from. Populated only when `slack_channel_id` is in `group_by[]`; null for usage outside Slack (and for rows recorded before channel attribution was enabled). - `speed: "fast" | "standard" | null` Inference speed mode of the usage or cost: `fast` or `standard`. Null unless `speed` is in `group_by[]`. - `"fast"` - `"standard"` - `token_type: BetaAnalyticsTokenType | null` Token type when `group_by[]=token_type` and `cost_type=tokens`; null otherwise. - `"cache_creation.ephemeral_1h_input_tokens"` - `"cache_creation.ephemeral_5m_input_tokens"` - `"cache_read_input_tokens"` - `"output_tokens"` - `"uncached_input_tokens"` - `starting_at: string` Start of the time bucket (inclusive) in RFC 3339 format. format: date-time #### Example ```typescript import Anthropic from "@anthropic-ai/sdk"; const client = new Anthropic({ apiKey: process.env["ANTHROPIC_API_KEY"] // This is the default and can be omitted }); // Automatically fetches more pages as needed. for await (const betaAnalyticsCostReportTimeBucket of client.beta.organization.analytics.costReport.list( { starting_at: "2019-12-27T18:11:19.117Z" } )) { console.log(betaAnalyticsCostReportTimeBucket.ending_at); } ``` ##### Response (200) ```json { "data": [ { "ending_at": "2019-12-27T18:11:19.117Z", "results": [ { "amount": "amount", "claude_tag_category": "dm", "claude_tag_user_id": "U0123ABCDEF", "context_window": "0-200k", "cost_type": "code_execution", "currency": "USD", "inference_geo": "global", "list_amount": "list_amount", "model": "claude-opus-5", "product": "chat", "rbac_group_id": "rbac_group_012rppKaSVsmTo6NqRDXQXNF", "requests": 0, "slack_channel_id": "C0123ABCDEF", "speed": "fast", "token_type": "cache_creation.ephemeral_1h_input_tokens" } ], "starting_at": "2019-12-27T18:11:19.117Z" } ], "data_refreshed_at": "2019-12-27T18:11:19.117Z", "has_more": true, "next_page": "next_page", "organization_id": "org_013FP9SaFPBg7Kw7fetjn6cF" } ``` ## Analytics › User Cost Report ### Get Per-User Cost `client.beta.organization.analytics.userCostReport.list(query, options?): PageCursor` **GET** `/v1/organizations/analytics/user_cost_report` Get per-user cost in USD across a date range. Returns one row per user, ranked by spend. Use this to see which users account for the most cost. Only cost attributable to a seat user is included; for organization-wide totals including direct API-key and automation traffic, use the bucketed `/v1/organizations/analytics/cost_report` endpoint. Available to organizations on a Claude Enterprise plan. Requires an API key with the `read:analytics` scope. #### Parameters - `query: UserCostReportListParams` - `starting_at: string` (query parameter) Start of range, inclusive. RFC 3339 tz-aware. Must be within the last 365 days and no earlier than 2026-01-01T00:00:00Z. format: date-time - `bucket_width?: "1d" | "1h" | "1m" | null` (query parameter) Time-bucket granularity. When set, each row's `starting_at` and `ending_at` are populated and one actor may span several rows (one per time bucket with usage). The time bucket counts toward `limit`, so one page can return multiple rows for the same actor. `ending_at` is required when `bucket_width` is set, and with `bucket_width="1m"` the range may span at most 24 hours. When omitted, each row aggregates the full `[starting_at, ending_at)` range. - `"1d"` - `"1h"` - `"1m"` - `claude_tag_categories?: Array | null` (query parameter) Filter to Claude Tag (Claude in Slack) usage in specific spend categories. Usage with no category never matches. `dm` usage is reported under the user's product rather than `claude-tag`, so combining this filter with `products[]=claude-tag` excludes it. Use `group_by[]=claude_tag_category` to break out per-category values. maxItems: 100 - `"dm"` - `"engaged"` - `"monitoring"` - `"proactive"` - `"scheduled"` - `claude_tag_user_ids?: Array | null` (query parameter) Filter to Claude Tag (Claude in Slack) usage attributed to specific Slack users, by Slack user ID (for example `U0123ABCDEF`), not claude.ai user ID. Usage that is not Claude Tag, and Claude Tag usage not attributed to a single user, never matches. Use `group_by[]=claude_tag_user_id` to break out per-user values. maxItems: 100 - `context_windows?: Array | null` (query parameter) Filter to specific context-window pricing tiers. Use `group_by[]=context_window` to break out per-tier values. maxItems: 100 - `"0-200k"` - `"200k-1M"` - `ending_at?: string | null` (query parameter) End of range, exclusive. When omitted, defaults to the earlier of now and `starting_at` + 31 days. The range may span at most 31 days. format: date-time - `exclude_deleted_users?: boolean` (query parameter) If true, omit rows for users who are deleted (`deleted: true`). A page may contain fewer than `limit` rows; use `has_more` and `next_page` to paginate as usual. - `group_by?: Array<"claude_tag_category" | "claude_tag_user_id" | "context_window" | 8 more> | null` (query parameter) Break each actor's row out by the given dimensions. Accepts the same values as the bucketed `/cost_report` endpoint. The `product`, `model`, `context_window`, `inference_geo`, and `speed` dimensions — and the time bucket, when `bucket_width` is set — count toward `limit`. `cost_type` and `token_type` do not: `cost_type` returns one row per cost component (tokens, web search, code execution); `token_type` returns one row per token type, each with `cost_type: "tokens"`; combining both returns the per-token-type rows plus the web-search and code-execution rows. A page can therefore contain more rows than `limit` when `cost_type` or `token_type` is requested. maxItems: 100 - `"claude_tag_category"` - `"claude_tag_user_id"` - `"context_window"` - `"cost_type"` - `"inference_geo"` - `"model"` - `"product"` - `"rbac_group_id"` - `"slack_channel_id"` - `"speed"` - `"token_type"` - `inference_geos?: Array | null` (query parameter) Filter to specific inference regions. `not_available` matches rows where the region is unset. Use `group_by[]=inference_geo` to break out per-region values. maxItems: 100 - `"global"` - `"not_available"` - `"us"` - `limit?: number` (query parameter) Number of rows per page (1-1000, default 20). One row per actor unless `group_by[]` or `bucket_width` splits an actor across rows; `cost_type`/`token_type` fan-out rows (cost endpoint only) are the exception — they do not count toward this limit, so `data` can exceed it. minimum: 1, maximum: 1000 - `models?: Array | null` (query parameter) Models to include. Defaults to all models. Use `group_by[]=model` to break out per-model values. maxItems: 100 - `order?: "asc" | "desc"` (query parameter) Sort direction. Defaults to `desc`. - `"asc"` - `"desc"` - `order_by?: "amount" | "list_amount"` (query parameter) Metric to rank actors by. Defaults to `amount`. - `"amount"` - `"list_amount"` - `page?: string | null` (query parameter) Opaque cursor from a previous response's `next_page` field. - `products?: Array | null` (query parameter) Product surfaces to include. Defaults to all products. maxItems: 100 - `"chat"` - `"chat_cowork_unified"` - `"claude-tag"` - `"claude_code"` - `"claude_design"` - `"claude_in_chrome"` - `"cowork"` - `"office_agent"` - `rbac_group_ids?: Array | null` (query parameter) Filter to usage attributed to specific RBAC groups. Accepts tagged RBAC group IDs (`rbac_group_...`) or bare group UUIDs. A row matches when the user belonged to any of the listed groups on the (UTC) day the usage occurred; usage with no group attribution never matches. maxItems: 100 - `slack_channel_ids?: Array | null` (query parameter) Filter to usage originating from specific Slack channels. Use `group_by[]=slack_channel_id` to break out per-channel values. maxItems: 100 - `speeds?: Array<"fast" | "standard"> | null` (query parameter) Filter to fast or standard inference mode. Use `group_by[]=speed` to break out per-mode values. maxItems: 100 - `"fast"` - `"standard"` - `user_ids?: Array | null` (query parameter) Filter to specific users by tagged user ID. maxItems: 100 #### Returns - `interface BetaAnalyticsCostUsersItem` - `actor: BetaAnalyticsUserActor` The user this row's usage or cost is attributed to. Always a `user_actor`. - `type: "user_actor"` Actor type. Always `"user_actor"`. - `deleted: boolean` True when the account has been deleted, or when the user is no longer a member of the organization or its associated organizations (for example, their membership was removed or they were deprovisioned via your identity provider). `email_address` stays populated for removed users and is null when the account has been deleted. `name` follows the rules described on that field. The `user_id` is still populated for reconciliation. - `email_address: string | null` The user's email address, including for users who are no longer members of the organization or its associated organizations. Null when the account has been deleted (check `deleted`) and for system-minted service accounts, which have no person's mailbox behind them (check `name`). - `name: string | null` The user's full name. Null when the user has not set a name. Returns `"Deleted User"` when the account itself has been deleted, or when the user is no longer a member of the organization or its associated organizations and the organization has chosen to hide the names of removed users. Otherwise, the name stays populated for removed users. Rows for system-minted service accounts render the service name (for example, `"Claude Security"` for usage by Anthropic's security-patching service) or null. - `user_id: string` Tagged user ID. - `amount: string` Amount (post-discount, pre-credit) in fractional cents (minor units). - `claude_tag_category: BetaAnalyticsClaudeTagCategory | null` Claude Tag (Claude in Slack) spend category: `engaged` (a person addressed Claude in a channel or thread), `proactive` (Claude responded without being addressed), `scheduled` (a scheduled routine ran), `monitoring` (Claude watching a channel it was asked to monitor), or `dm` (direct messages with Claude). Populated only when `claude_tag_category` is in `group_by[]`; null for usage that is not Claude Tag. Direct-message usage is billed to the individual user and is reported under that user's product, not under `claude-tag`. New categories may be added over time. - `"dm"` - `"engaged"` - `"monitoring"` - `"proactive"` - `"scheduled"` - `claude_tag_user_id: string | null` Slack user ID (for example `U0123ABCDEF`) of the member the Claude Tag (Claude in Slack) usage is attributed to, not a claude.ai user ID. Populated only when `claude_tag_user_id` is in `group_by[]`; null for usage that is not Claude Tag and for Claude Tag usage that is not attributed to a single user (for example `monitoring`, and `proactive` usage Claude initiated), so per-user rows can sum to less than the Claude Tag total. Cannot be combined with `group_by[]=rbac_group_id` or the `rbac_group_ids[]` filter. - `context_window: BetaAnalyticsContextWindow | null` Context-window pricing tier of the usage or cost. Null unless `context_window` is in `group_by[]`; it can also be null on grouped rows with no context-window tier, such as code execution. - `"0-200k"` - `"200k-1M"` - `cost_type: BetaAnalyticsCostType | null` Cost component breakdown; null when returning the combined total. - `"code_execution"` - `"tokens"` - `"web_search"` - `currency: string` Currency code for the cost amount. Currently always `"USD"`. default: USD - `ending_at: string | null` End of the row's UTC time bucket (exclusive), as an RFC 3339 timestamp; equal to `starting_at` plus one `bucket_width`. Null unless `bucket_width` is set. format: date-time - `inference_geo: "global" | "us" | null` Inference region of the usage or cost. Null unless `inference_geo` is in `group_by[]`; it can also be null on grouped rows where the region is not set (the rows that `inference_geos[]=not_available` matches). - `"global"` - `"us"` - `list_amount: string` List-price amount (pre-discount) in fractional cents. - `model: string | null` Model that produced the usage or cost, as a model name in the form the `models[]` filter accepts (for example, `claude-opus-5`). Null unless `model` is in `group_by[]`; it can also be null on grouped rows whose usage or cost is not attributed to a specific model, such as code execution. - `product: string | null` Product surface that produced the usage or cost. Null unless product is in `group_by[]`; it can also be null on grouped rows whose usage cannot be attributed to a known surface. Values include `chat`, `claude_code`, `cowork`, `office_agent`, `claude_in_chrome`, `claude_design`, `claude-tag`, and `chat_cowork_unified`. `claude-tag` is Claude Tag, the Claude product in Slack. `chat_cowork_unified` is Chat and Cowork unified, Cowork's features inside claude.ai chat: chat and Cowork usage by a member who has it turned on is reported under this value instead of `chat` or `cowork`. It is accepted as a filter only on deployments that offer Chat and Cowork unified. Some unattributed usage is reported as "other". - `rbac_group_id: string | null` RBAC group (team) the usage is attributed to, in the public tagged `rbac_group_...` spelling — the same spelling the activity resources use for this key, so the same team has one id across resources and it round-trips as an `rbac_group_ids[]` filter value. Populated only when `rbac_group_id` is in `group_by[]`. Any-membership semantics: a user in several groups contributes their full usage to each of those groups' rows, so the named-group rows overlap and their sum can exceed the org total. A null value is the single unassigned row: users in no group on that (UTC) day. For the true org total, run the same query without `group_by[]`. - `requests: number | null` Number of API requests in this row's scope. Null when `group_by` includes `cost_type` or `token_type` (the count has no per-component attribution; read it from the ungrouped response). For sandbox / code-execution events, this counts execution spans rather than HTTP requests (these rows surface with `product: null`). - `slack_channel_id: string | null` Slack channel the usage originated from. Populated only when `slack_channel_id` is in `group_by[]`; null for usage outside Slack (and for rows recorded before channel attribution was enabled). - `speed: "fast" | "standard" | null` Inference speed mode of the usage or cost: `fast` or `standard`. Null unless `speed` is in `group_by[]`. - `"fast"` - `"standard"` - `starting_at: string | null` Start of the row's UTC time bucket (inclusive), as an RFC 3339 timestamp. Null unless `bucket_width` is set; without `bucket_width`, each row aggregates the full requested range. format: date-time - `token_type: BetaAnalyticsTokenType | null` Token type when `cost_type` is `tokens`; null otherwise. - `"cache_creation.ephemeral_1h_input_tokens"` - `"cache_creation.ephemeral_5m_input_tokens"` - `"cache_read_input_tokens"` - `"output_tokens"` - `"uncached_input_tokens"` #### Example ```typescript import Anthropic from "@anthropic-ai/sdk"; const client = new Anthropic({ apiKey: process.env["ANTHROPIC_API_KEY"] // This is the default and can be omitted }); // Automatically fetches more pages as needed. for await (const betaAnalyticsCostUsersItem of client.beta.organization.analytics.userCostReport.list( { starting_at: "2019-12-27T18:11:19.117Z" } )) { console.log(betaAnalyticsCostUsersItem.claude_tag_user_id); } ``` ##### Response (200) ```json { "data": [ { "actor": { "deleted": true, "email": "jane@example.com", "email_address": "jane@example.com", "name": "Jane Smith", "type": "user_actor", "user_id": "user_01AbCdEfGhIjKlMnOpQrSt" }, "amount": "41280.000000", "claude_tag_category": "dm", "claude_tag_user_id": "U0123ABCDEF", "context_window": "0-200k", "cost_type": "code_execution", "currency": "USD", "ending_at": "2019-12-27T18:11:19.117Z", "inference_geo": "global", "list_amount": "51600.000000", "model": "claude-opus-5", "product": "chat", "rbac_group_id": "rbac_group_012rppKaSVsmTo6NqRDXQXNF", "requests": 128, "slack_channel_id": "C0123ABCDEF", "speed": "fast", "starting_at": "2019-12-27T18:11:19.117Z", "token_type": "cache_creation.ephemeral_1h_input_tokens" } ], "data_refreshed_at": "2019-12-27T18:11:19.117Z", "has_more": true, "next_page": "next_page", "organization_id": "org_013FP9SaFPBg7Kw7fetjn6cF" } ```