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Overview

This endpoint returns key-level usage details without exposing provider-specific execution details.

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Query Parameters

ParameterTypeDefault / LimitsNotes
pageintegerdefault 1, min 11-based page number
limitintegerdefault 50, min 1, max 100Page size
modelstringmax length 100Requested model name
modelVendorstringmax length 100Public model vendor
sceneenum-chat, image, audio, video, embedding, rerank, translation, music, 3d, realtime
accessChannelenum-platform or byok
startDatestring-Inclusive lower bound; accepts RFC3339 with timezone or YYYY-MM-DD
endDatestring-Inclusive upper bound; accepts RFC3339 with timezone or YYYY-MM-DD
If both startDate and endDate are present, startDate must be earlier than or equal to endDate.

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Notes

  • Monetary fields are USD-only. CNY inputs are retired and return 400 currency_retired.
  • The response is paginated.
  • The response includes public billing and reporting fields only.
  • Each usage item can include billing_transaction_id after the underlying request reaches settled billing state. Use it together with request_id for request-level reconciliation.
  • Provider execution details are intentionally hidden from public management responses.

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Example

curl "https://api.tokenlab.sh/v1/management/api-keys/key_abc123def456/usage?page=1&limit=20&scene=video&accessChannel=platform&startDate=2026-03-01&endDate=2026-03-31" \
  -H "Authorization: Bearer mt-your-management-token"

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Request / Response

Use the interactive OpenAPI panel above for the exact schema and response fields.

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Response example

{
  "api_key": {
    "id": "key_abc123def456",
    "name": "Backend Worker",
    "key_prefix": "sk-live...",
    "status": "active",
    "limit_amount": 500,
    "limit_amount_decimal": "500",
    "used_amount": 148.25,
    "used_amount_decimal": "148.25",
    "models": [
      "gpt-5-mini",
      "claude-3-7-sonnet"
    ],
    "expires_at": "2026-12-31T23:59:59.000Z",
    "last_used_at": "2026-07-08T03:12:45.000Z",
    "created_at": "2026-07-01T10:00:00.000Z"
  },
  "items": [
    {
      "request_id": "req_abc123",
      "billing_transaction_id": "billtxn_abc123",
      "model": "gpt-5-mini",
      "logical_model": "gpt-5-mini",
      "model_vendor": "OpenAI",
      "scene": "chat",
      "access_channel": "platform",
      "usage_unit": "per_token",
      "usage_quantity": 1500,
      "usage_quantity_decimal": "1500",
      "prompt_tokens": 1000,
      "completion_tokens": 500,
      "total_tokens": 1500,
      "cache_read_tokens": 0,
      "cache_write_tokens": 0,
      "cache_write_tokens_5m": 0,
      "cache_write_tokens_1h": 0,
      "cost": 0.0012,
      "cost_decimal": "0.0012",
      "created_at": "2026-07-08T03:15:00.000Z"
    }
  ],
  "pagination": {
    "page": 1,
    "limit": 20,
    "total": 1,
    "totalPages": 1
  },
  "summary": {
    "total_requests": 1,
    "total_cost": 0.0012,
    "total_cost_decimal": "0.0012",
    "total_prompt_tokens": 1000,
    "total_completion_tokens": 500,
    "total_tokens": 1500,
    "usage_unit_breakdown": [
      {
        "usage_unit": "per_token",
        "usage_quantity": 1500
      }
    ]
  },
  "breakdowns": {
    "by_model": [
      {
        "model": "gpt-5-mini",
        "logical_model": "gpt-5-mini",
        "model_vendor": "OpenAI",
        "requests": 1,
        "cost": 0.0012,
        "cost_decimal": "0.0012",
        "usage_quantity": 1500,
        "usage_quantity_decimal": "1500"
      }
    ],
    "by_logical_model": [
      {
        "model": "gpt-5-mini",
        "logical_model": "gpt-5-mini",
        "model_vendor": "OpenAI",
        "requests": 1,
        "cost": 0.0012,
        "cost_decimal": "0.0012",
        "usage_quantity": 1500,
        "usage_quantity_decimal": "1500"
      }
    ],
    "by_model_vendor": [
      {
        "model_vendor": "OpenAI",
        "requests": 1,
        "cost": 0.0012
      }
    ],
    "by_scene": [
      {
        "scene": "chat",
        "requests": 1,
        "cost": 0.0012,
        "cost_decimal": "0.0012"
      }
    ],
    "by_access_channel": [
      {
        "access_channel": "platform",
        "requests": 1,
        "cost": 0.0012
      }
    ],
    "daily_cost": [
      {
        "date": "2026-07-08T00:00:00.000Z",
        "cost": 0.0012,
        "cost_decimal": "0.0012"
      }
    ]
  }
}

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Important fields

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api_key
object
API key summary using the same fields as list/create/update responses.
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items
array
Paginated usage rows.
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pagination
object
Pagination metadata with page, limit, total, and totalPages.
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summary
object
Aggregated totals for the selected filters.
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breakdowns
object
Aggregated breakdowns for the selected filters.
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items[].request_id
string | null
Public request identifier for support and reconciliation.
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items[].billing_transaction_id
string | null
Settled billing transaction id when available.
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items[].model
string
Requested public model name.
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items[].logical_model
string
Logical public model used for reporting.
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items[].model_vendor
string | null
Public model vendor.
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items[].scene
string | null
Public request scene.
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items[].access_channel
string
platform or byok.
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items[].usage_unit
string
Billing usage unit, such as per_token.
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items[].usage_quantity
number
Usage quantity as a JSON number for display.
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items[].usage_quantity_decimal
string
Exact usage quantity as a decimal string.
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items[].prompt_tokens
number
Prompt token count.
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items[].completion_tokens
number
Completion token count.
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items[].total_tokens
number
Total token count.
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items[].cache_read_tokens
number
Cache read token count.
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items[].cache_write_tokens
number
Total cache write token count.
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items[].cache_write_tokens_5m
number
Five-minute cache write token count.
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items[].cache_write_tokens_1h
number
One-hour cache write token count.
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items[].cost
number
Cost in USD as a JSON number for display.
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items[].cost_decimal
string
Exact cost in USD as a decimal string.
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items[].created_at
string
ISO usage row timestamp.
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summary.total_requests
number
Total request count.
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summary.total_cost
number
Total cost in USD as a JSON number for display.
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summary.total_cost_decimal
string
Exact total cost in USD as a decimal string.
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summary.total_prompt_tokens
number
Total prompt tokens.
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summary.total_completion_tokens
number
Total completion tokens.
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summary.total_tokens
number
Total tokens.
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summary.usage_unit_breakdown
array
Usage quantity grouped by usage unit.
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breakdowns.by_model
array
Breakdown by requested public model.
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breakdowns.by_logical_model
array
Breakdown by logical public model.
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breakdowns.by_model_vendor
array
Breakdown by public model vendor.
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breakdowns.by_scene
array
Breakdown by public request scene.
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breakdowns.by_access_channel
array
Breakdown by platform or byok access channel.
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breakdowns.daily_cost
array
Daily cost trend.