Claude Platform Docs

ユーザーごとのトークン使用量を取得

GET/v1/organizations/analytics/user_usage_report

指定した日付範囲におけるユーザーごとのトークン使用量を取得します。

選択したトークンメトリクスでランク付けされた、ユーザーごとに1行を返します。どのユーザーが最も多くのトークンを消費しているかを確認するために使用します。シートユーザーに帰属する使用量のみが含まれます。直接のAPIキーおよび自動化トラフィックを含む組織全体の合計については、バケット化された /v1/organizations/analytics/usage_report エンドポイントを使用してください。Claude Enterpriseプランの組織が利用できます。read:analytics スコープを持つAPIキーが必要です。

Query parameters
starting_at: string

Start of range, inclusive. RFC 3339 tz-aware. Must be within the last 365 days and no earlier than 2026-01-01T00:00:00Z.

formatdate-time
bucket_width: optional "1d" or "1h" or "1m"

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.

One of the following:
"1d"
"1h"
"1m"
context_windows: optional array of "0-200k" or "200k-1M"

Filter to specific context-window pricing tiers. Use group_by[]=context_window to break out per-tier values.

maxItems100
One of the following:
"0-200k"
"200k-1M"
ending_at: optional string

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.

formatdate-time
exclude_deleted_users: optional boolean

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.

defaultfalse
group_by: optional array of "context_window" or "inference_geo" or "model" or 4 more

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.

maxItems100
One of the following:
"context_window"
"inference_geo"
"model"
"product"
"rbac_group_id"
"slack_channel_id"
"speed"
inference_geos: optional array of "global" or "not_available" or "us"

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.

maxItems100
One of the following:
"global"
"not_available"
"us"
limit: optional number

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.

default20
maximum1000
minimum1
models: optional array of string

Models to include. Defaults to all models. Use group_by[]=model to break out per-model values.

maxItems100
order: optional "asc" or "desc"

Sort direction. Defaults to desc.

defaultdesc
One of the following:
"asc"
"desc"
order_by: optional "output_tokens" or "requests" or "total_tokens" or "uncached_input_tokens"

Metric to rank actors by. Defaults to total_tokens.

defaulttotal_tokens
One of the following:
"output_tokens"
"requests"
"total_tokens"
"uncached_input_tokens"
page: optional string

Opaque cursor from a previous response's next_page field.

products: optional array of "chat" or "claude-tag" or "claude_code" or 4 more

Product surfaces to include. Defaults to all products.

maxItems100
One of the following:
"chat"
"claude-tag"
"claude_code"
"claude_design"
"claude_in_chrome"
"cowork"
"office_agent"
rbac_group_ids: optional array of string

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.

maxItems100
slack_channel_ids: optional array of string

Filter to usage originating from specific Slack channels. Use group_by[]=slack_channel_id to break out per-channel values.

maxItems100
speeds: optional array of "fast" or "standard"

Filter to fast or standard inference mode. Use group_by[]=speed to break out per-mode values.

maxItems100
One of the following:
"fast"
"standard"
user_ids: optional array of string

Filter to specific users by tagged user ID.

maxItems100
Returns
UserUsage object{ data, data_refreshed_at, has_more, 2 more }
ユーザーごとのトークン使用量を取得
cURL
curl https://api.anthropic.com/v1/organizations/analytics/user_usage_report \
    -H 'anthropic-version: 2023-06-01' \
    -H "X-Api-Key: $ANTHROPIC_ADMIN_API_KEY"
Returns Examples
Response 200
{
  "data": [
    {
      "actor": {
        "deleted": true,
        "email": "jane@example.com",
        "name": "Jane Smith",
        "type": "user_actor",
        "user_id": "user_01AbCdEfGhIjKlMnOpQrSt"
      },
      "cache_creation": {
        "ephemeral_1h_input_tokens": 1000,
        "ephemeral_5m_input_tokens": 500
      },
      "cache_read_input_tokens": 3200000,
      "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"
}