Get Cost Over Time

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.

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.

  format: date-time

• bucket_width: optional "1d" or "1h" or "1m"

  Time bucket granularity.

  default: 1d

  • "1d"

  • "1h"

  • "1m"

• claude_tag_categories: optional array of "dm" or "engaged" or "monitoring" or 2 more

  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: optional array of string

  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: 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.

  maxItems: 100

  • "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.

  format: date-time

• group_by: optional array of "claude_tag_category" or "claude_tag_user_id" or "context_window" or 8 more

  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: 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.

  maxItems: 100

  • "global"

  • "not_available"

  • "us"

• limit: optional number

  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: optional array of string

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

  maxItems: 100

• 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. Use group_by[]=product to break out per-product values.

  maxItems: 100

  • "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.

  maxItems: 100

• 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.

  maxItems: 100

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

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

  maxItems: 100

  • "fast"

  • "standard"

• user_ids: optional array of string

  Filter to specific users by tagged user ID.

  maxItems: 100

Returns

• BetaCostBucket object

  • data: array of object

    Time buckets for this page, oldest first: one per bucket_width interval, including intervals with no data (their results list is empty). A page holds at most limit buckets.

    • ending_at: string

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

      format: date-time

    • results: array of object

      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: "dm" or "engaged" or "monitoring" or 2 more or 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 or 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: "0-200k" or "200k-1M" or 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: "code_execution" or "tokens" or "web_search" or null

        Cost component when group_by[]=cost_type; null otherwise (amount is the combined total).

        • "code_execution"

        • "tokens"

        • "web_search"

      • currency: "USD"

        Currency code for the cost amount. Currently always "USD".

        default: USD

      • inference_geo: "global" or "us" or 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 or 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 or 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, and claude-tag. claude-tag is Claude Tag, the Claude product in Slack. Some unattributed usage is reported as "other".

      • rbac_group_id: string or 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 or 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 or 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" or "standard" or null

        Inference speed mode of the usage or cost: fast or standard. Null unless speed is in group_by[].

        • "fast"

        • "standard"

      • token_type: "cache_creation.ephemeral_1h_input_tokens" or "cache_creation.ephemeral_5m_input_tokens" or "cache_read_input_tokens" or 2 more or 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

  • data_refreshed_at: string or null

    RFC 3339 timestamp of the export this response was served from. Null when no export yet covers any part of the requested range, in which case every bucket's results list is empty. Buckets beyond this watermark are incomplete; for stable results, set ending_at to this value or earlier. Data is typically refreshed every 4 hours but not final until about 30 days after the usage date (late-arriving events, reconciliation adjustments).

    format: date-time

  • has_more: boolean

    Whether another page is available. When true, pass next_page as the page parameter to fetch it.

  • next_page: string or null

    Opaque cursor for the next page, or null when has_more is false. Pass it as the page parameter, keeping the other parameters unchanged. A cursor can expire after the underlying data refreshes; the request then returns HTTP 410 and pagination must restart from the first page.

  • organization_id: string

    ID of the Organization.

Example

curl https://api.anthropic.com/v1/organizations/analytics/cost_report \
    -H 'anthropic-version: 2023-06-01' \
    -H "X-Api-Key: $ANTHROPIC_API_KEY"

Response (200)

{
  "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"
}