> ## Documentation Index
> Fetch the complete documentation index at: https://docs.zebratruth.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Get agent execution trace

> Detailed per-agent metrics for a job. Shows latency, cache hits,
and whether any agent was truncated.




## OpenAPI

````yaml /openapi/zebratruth-v1.yaml get /compliance/jobs/{jobId}/trace
openapi: 3.1.0
info:
  title: ZebraTruth Compliance API
  version: 1.0.0
  description: >
    AI-powered compliance checking for advertising content. Check text and
    images against

    jurisdiction laws, platform policies, and rights clearance requirements.
    Results include

    embeddable annotations mapped to content locations (text spans, video
    timestamps, image regions).
  contact:
    name: ZebraTruth Support
    email: support@zebratruth.ai
    url: https://developers.zebratruth.ai
  license:
    name: MIT
    url: https://opensource.org/licenses/MIT
servers:
  - url: https://api.zebratruth.ai/v1
    description: Production
security:
  - bearerAuth: []
tags:
  - name: Video Compliance
    description: >
      **Primary endpoint.** Async compliance analysis for video ads. 3-step
      flow:

      get an upload URL, upload the video bytes, submit for analysis. Poll or

      receive an HMAC-signed webhook with the report. Returns timestamped

      findings citing stable evidence IDs (`audio_NNN`, `frame_NNN`, `ocr_NNN`,

      `signal_NNN`). 3-180 second videos. mp4 / webm /

      quicktime. Built for ad agencies and creators.
  - name: Authentication
    description: Validate API keys and check account status
  - name: Compliance
    description: >-
      Run compliance checks on text + image content (sync). For video, use the
      Video Compliance endpoints above.
  - name: Agents
    description: Discover and invoke individual compliance agents
  - name: Jobs
    description: Poll async job status and view execution traces
  - name: Reports
    description: Retrieve and replay compliance reports
  - name: Observability
    description: Request logs and webhook delivery status
  - name: Billing
    description: Subscriptions, plan changes, and credit balance
  - name: Documents
    description: Extract text from PDF and Word documents before or as part of a check
  - name: Check History
    description: List and retrieve past compliance checks for the workspace
  - name: Provenance
    description: Inspect and sign Content Credentials (C2PA) on images and video
  - name: Corpus
    description: >-
      Review queue for proposed changes to the governed legal corpus (dashboard
      session)
  - name: Webhooks
    description: Saved webhook endpoints (dashboard session) and delivery logs
paths:
  /compliance/jobs/{jobId}/trace:
    get:
      tags:
        - Jobs
      summary: Get agent execution trace
      description: |
        Detailed per-agent metrics for a job. Shows latency, cache hits,
        and whether any agent was truncated.
      operationId: getJobTrace
      parameters:
        - name: jobId
          in: path
          required: true
          schema:
            type: string
      responses:
        '200':
          description: Agent traces
          content:
            application/json:
              schema:
                type: array
                items:
                  $ref: '#/components/schemas/AgentTrace'
        '401':
          $ref: '#/components/responses/Unauthorized'
        '404':
          description: Job not found
components:
  schemas:
    AgentTrace:
      type: object
      properties:
        agentId:
          type: string
        agentVersion:
          type: string
          example: 1.2.0
        phase:
          type: integer
        startedAt:
          type: string
          format: date-time
        completedAt:
          type: string
          format: date-time
        latencyMs:
          type: integer
          example: 3200
        inputTokens:
          type: integer
          example: 500
        outputTokens:
          type: integer
          example: 800
        maxTokensBudget:
          type: integer
          description: Token budget allocated to this agent
          example: 1200
        credits:
          type: number
        cached:
          type: boolean
          description: Whether the research cache was used
        annotationCount:
          type: integer
        partial:
          type: boolean
          description: Whether the agent hit its token budget cap
        error:
          type: string
  responses:
    Unauthorized:
      description: |
        Invalid, missing, or expired API key. Standard error envelope —
        read `message` for the human-readable reason.
      content:
        application/json:
          schema:
            type: object
            description: Standard error envelope.
            required:
              - statusCode
              - message
            properties:
              error:
                type: boolean
                example: true
              url:
                type: string
                format: uri
                example: https://api.zebratruth.ai/v1/whoami
              statusCode:
                type: integer
                example: 401
              statusMessage:
                type: string
                example: Invalid API key
              message:
                type: string
                description: Canonical human-readable reason — pattern-match on this field.
                example: Invalid API key
  securitySchemes:
    bearerAuth:
      type: http
      scheme: bearer
      description: |
        API key starting with `zt_live_` (production) or `zt_test_` (sandbox).
        Get your key at https://developers.zebratruth.ai

````

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