Claude Platform Docs

获取随时间变化的令牌用量

$client->beta->organization->analytics->usageReport->list(\Datetime startingAt, ?BucketWidth bucketWidth, ?list<AnalyticsClaudeTagCategory> claudeTagCategories, ?list<string> claudeTagUserIDs, ?list<AnalyticsContextWindow> contextWindows, ?\Datetime endingAt, ?list<GroupBy> groupBy, ?list<AnalyticsInferenceGeoFilter> inferenceGeos, ?int limit, ?list<string> models, ?string page, ?list<AnalyticsProductFilter> products, ?list<string> rbacGroupIDs, ?list<string> slackChannelIDs, ?list<Speed> speeds, ?list<string> userIDs): ReportPageCursor<AnalyticsUsageReportTimeBucket>
GET/v1/organizations/analytics/usage_report

[旧版] 获取某个日期范围内随时间变化的令牌用量。

返回按分钟、小时或天分桶的令牌用量，可选择按一个或多个 group_by[] 维度（例如产品或模型）进行细分。适用于 Claude Enterprise 计划的组织。需要具有 read:analytics 范围的 API 密钥。

此端点是旧版 Claude Enterprise 用量和成本报告之一。对于新的集成，请改用用量和成本分析 API 中的 GET /v1/organizations/analytics/usage。如需迁移现有集成，请参阅从 Claude Enterprise 用量和成本报告迁移。

Parameters
startingAt: \Datetime⁠Query 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.

bucketWidth?: optional BucketWidth⁠Query parameter

Time bucket granularity.

default1d
claudeTagCategories?: optional list<AnalyticsClaudeTagCategory>⁠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.

claudeTagUserIDs?: optional list<string>⁠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.

contextWindows?: optional list<AnalyticsContextWindow>⁠Query parameter

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

endingAt?: optional \Datetime⁠Query 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.

groupBy?: optional list<GroupBy>⁠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.

inferenceGeos?: optional list<AnalyticsInferenceGeoFilter>⁠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.

limit?: optional int⁠Query 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).

models?: optional list<string>⁠Query parameter

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

page?: optional string⁠Query parameter

Opaque cursor from a previous response's next_page field.

products?: optional list<AnalyticsProductFilter>⁠Query parameter

Product surfaces to include. Defaults to all products. Use group_by[]=product to break out per-product values.

rbacGroupIDs?: optional list<string>⁠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.

slackChannelIDs?: optional list<string>⁠Query parameter

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

speeds?: optional list<Speed>⁠Query parameter

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

userIDs?: optional list<string>⁠Query parameter

Filter to specific users by tagged user ID.

Returns
class AnalyticsUsageReportTimeBucket { $endingAt; $results; $startingAt; }
\Datetime endingAt

End of the time bucket (exclusive) in RFC 3339 format.

list<AnalyticsUsageBucketedResult> results

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).

\Datetime startingAt

Start of the time bucket (inclusive) in RFC 3339 format.

获取随时间变化的令牌用量
<?php

require_once dirname(__DIR__) . '/vendor/autoload.php';

use Anthropic\Client;
use Anthropic\Beta\Organization\Analytics\AnalyticsClaudeTagCategory;
use Anthropic\Beta\Organization\Analytics\AnalyticsContextWindow;
use Anthropic\Beta\Organization\Analytics\AnalyticsInferenceGeoFilter;
use Anthropic\Beta\Organization\Analytics\AnalyticsProductFilter;

$client = new Client(apiKey: 'my-anthropic-api-key');

$page = $client->beta->organization->analytics->usageReport->list(
  startingAt: new \DateTimeImmutable('2019-12-27T18:11:19.117Z'),
  bucketWidth: '1d',
  claudeTagCategories: [AnalyticsClaudeTagCategory::ENGAGED],
  claudeTagUserIDs: ['U0123ABCDEF'],
  contextWindows: [AnalyticsContextWindow::FROM_0_TO_200K],
  endingAt: new \DateTimeImmutable('2019-12-27T18:11:19.117Z'),
  groupBy: ['claude_tag_category'],
  inferenceGeos: [AnalyticsInferenceGeoFilter::GLOBAL],
  limit: 1,
  models: ['string'],
  page: 'page',
  products: [AnalyticsProductFilter::CHAT],
  rbacGroupIDs: ['rbac_group_012rppKaSVsmTo6NqRDXQXNF'],
  slackChannelIDs: ['C0123ABCDEF'],
  speeds: ['fast'],
  userIDs: ['string'],
);

var_dump($page);
Returns Examples
Response 200
{
  "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-5-5",
          "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"
}