> ## Documentation Index > Fetch the complete documentation index at: https://docs.getoneprofile.ai/llms.txt > Use this file to discover all available pages before exploring further. # Get a cell's enrichment run detail > The cell's most recent enrichment execution: the resolved prompt, action and model, outcome, duration, and the agent's investigation (reasoning, confidence, steps, sources) when there was one. Raw provider responses are never stored, so nothing internal can leak. ## OpenAPI ````yaml /openapi.json get /tables/{table_id}/rows/{record_id}/cells/{column_id}/run-detail/ openapi: 3.1.0 info: contact: email: support@getoneprofile.ai name: Oneprofile Support description: >- REST API reference for Oneprofile, the GTM data layer for your CRM. Manage tables, enrichments, and integrations. Authenticate with an API key to get started. termsOfService: https://www.getoneprofile.ai/terms title: API Reference | Oneprofile version: '0.0' servers: - url: https://api.getoneprofile.ai security: [] tags: - description: Sender profiles, connected mailboxes, tags, and the Google connect flow. name: senders - description: The workspace do-not-contact list, enforced before every send. name: suppression - description: 'Sequence authoring: the graph, the table-backed audience, previews.' name: sequences - description: >- The LinkedIn channel: connecting an account to a sender, its safety limits and history, and the protocol the browser extension speaks. name: linkedin - description: 'The unified outreach inbox: threads, replies, labels, events.' name: inbox - description: 'The AI reply layer: workspace settings, drafts, and approval.' name: inbox-ai - description: Notification rules, per-user preferences, and the Slack connection. name: notifications - description: Endpoints for seeing all available integration types. name: integration-types - description: Endpoints for creating and managing integrations. name: integrations - description: Endpoints for the generic OAuth install/claim app-listings engine. name: app-listings - description: Endpoints for creating and managing API keys. name: apikey - description: Endpoints for managing billing and subscription information. name: billing - description: Endpoints for creating and managing tables. name: tables - description: Endpoints for table columns, formula previews, and on-demand column runs. name: table-columns - description: Endpoints for table rows and manual cell edits. name: table-rows - description: Endpoints for observing and cancelling table recompute runs. name: table-runs - description: >- Endpoints for org-shared per-column display preferences: hidden, pinned, width, and colour tint. name: table-ui-prefs - description: >- Endpoints for the org-shared names given to the column tint palette: what this organisation calls each colour. Org-level, not per-table. name: table-column-color-labels - description: >- Endpoints for the enrichment action catalog, model list, presets, draft generation, and saved agents. name: table-enrichments - description: >- Endpoints for teaching a saved agent from example rows: training sessions, per-row feedback, and the proposed prompt to approve. name: agent-training - description: >- The durable audit trail of a table's enrichment actions: configured, edited, run, cancelled, and settled cost. name: table-enrichment-audit-logs - description: Endpoints for saving and applying column templates. name: table-templates - description: Server-sent change feed for a table's grid. name: table-events - description: 'Endpoints for org-shared saved table views: sort, filters, hidden columns.' name: table-views - description: >- The per-table AI Assistant: named conversations, the column suggestions a build turn produces, and the questions an analyze turn answers. name: table-assistant - description: >- Endpoints for PER-USER table preferences: favourites and recently opened. Unlike the rest of the table surface these are personal, so two members of one organisation legitimately see different answers. name: table-user-prefs - description: >- Endpoints for building a table from an uploaded CSV: upload and preview the inferred columns, commit the reviewed mapping, then poll the row load. name: table-imports - description: Endpoint for downloading a table's rows as CSV. name: table-export - description: >- Endpoints for the integration a table imports from: attach and preview it, promote imported fields into columns, and run the import on demand. name: table-sources - description: >- Endpoints for a table's recurring import cadence: set it, pause it, and read the next fire times. name: table-schedules - description: >- Endpoints for pushing a table's rows out to a connected integration: list writable destinations, derive their write capabilities, and map export columns. name: table-writeback - description: >- Endpoints backing a lookup column's setup: the connections whose records a column could read, and the identity fields one record type can be looked up by. name: table-integration-lookup - description: >- Endpoints for sourcing leads from the lead database: count and preview matches, land them in a table, and keep saved searches. name: find-leads - description: >- Endpoints for discovering a domain's subdomains from public certificate logs and landing the results in a table. name: find-subdomains - description: Endpoints for the credit balance meter and usage reporting. name: credits - description: >- Endpoints for the workspace referral program: the shareable link, the friends who joined through it, and claiming a code after signup. name: referral - description: >- Endpoints for the design partner program's customer surface: whether this workspace is a design partner, the badges its feedback has earned, and sending and reading that feedback. name: design-partner - description: >- Endpoints for the org-level AI business context — company description, ideal customer profile, buyer personas and interest signals — plus domain-based generation. name: ai-context paths: /tables/{table_id}/rows/{record_id}/cells/{column_id}/run-detail/: get: tags: - table-rows summary: Get a cell's enrichment run detail description: >- The cell's most recent enrichment execution: the resolved prompt, action and model, outcome, duration, and the agent's investigation (reasoning, confidence, steps, sources) when there was one. Raw provider responses are never stored, so nothing internal can leak. operationId: get_cell_run_detail parameters: - in: path name: table_id required: true schema: format: uuid title: Table Id type: string - in: path name: record_id required: true schema: format: uuid title: Record Id type: string - in: path name: column_id required: true schema: format: uuid title: Column Id type: string responses: '200': content: application/json: schema: $ref: '#/components/schemas/EnrichmentCellRunSchema' description: Successful Response '401': content: application/json: schema: $ref: '#/components/schemas/UnauthorizedResponse' description: Unauthorized '403': content: application/json: schema: $ref: '#/components/schemas/ForbiddenResponse' description: Forbidden '404': content: application/json: schema: $ref: '#/components/schemas/NotFoundResponse' description: Cell has no run record '422': content: application/json: schema: $ref: '#/components/schemas/UnprocessableEntityResponse' description: Invalid request made to the API. '500': content: application/json: schema: $ref: '#/components/schemas/ServerErrorResponse' description: Internal server error. '502': content: application/json: schema: $ref: '#/components/schemas/ServerErrorResponse' description: Bad gateway error. '503': content: application/json: schema: $ref: '#/components/schemas/ServerErrorResponse' description: Service unavailable. security: - HTTPBearer: [] - APIKeyHeader: [] components: schemas: EnrichmentCellRunSchema: description: |- One cell's most recent enrichment execution, for inspection. ``raw_response`` is the model's STRUCTURED payload (the parsed fields, pre-coercion) — never the provider transcript; summaries and error text stay sanitized and length-capped, so nothing here needs masking after the fact. properties: action_key: title: Action Key type: string cached_tokens: anyOf: - type: integer - type: 'null' description: >- Prompt tokens served from the provider's cache; null when unreported. title: Cached Tokens completion_tokens: anyOf: - type: integer - type: 'null' description: Provider-reported completion tokens; null when unreported. title: Completion Tokens confidence: anyOf: - $ref: '#/components/schemas/AgentConfidence' - type: 'null' description: The agent's own read on the answer; null for non-agent actions. created_at: format: date-time title: Created At type: string credits_charged: description: What executing this cell cost, by the page charge's rule. title: Credits Charged type: number details_pruned: description: >- Whether the run is past detail retention. When true, empty trail fields (steps, reasoning, sources) mean the detail aged out, not that the run never had one. title: Details Pruned type: boolean duration_ms: title: Duration Ms type: integer error: anyOf: - type: string - type: 'null' title: Error error_class: anyOf: - $ref: '#/components/schemas/EnrichmentErrorClass' - type: 'null' id: format: uuid title: Id type: string model_key: anyOf: - type: string - type: 'null' title: Model Key outcome: $ref: '#/components/schemas/EnrichmentCellOutcome' prompt_text: description: The resolved per-row prompt the action received. title: Prompt Text type: string prompt_tokens: anyOf: - type: integer - type: 'null' description: Provider-reported prompt tokens; null when unreported. title: Prompt Tokens raw_response: anyOf: - additionalProperties: true type: object - type: 'null' description: >- The model's structured payload exactly as returned, before coercion; null when the action produced none. title: Raw Response reasoning: anyOf: - type: string - type: 'null' title: Reasoning reasoning_tokens: anyOf: - type: integer - type: 'null' description: Hidden reasoning tokens billed as output; null when unreported. title: Reasoning Tokens run_id: anyOf: - format: uuid type: string - type: 'null' description: The table run that executed the cell. title: Run Id source_attempts: description: A curated enrichment's per-attempt trail; empty elsewhere. items: $ref: '#/components/schemas/EnrichmentRunSourceAttemptSchema' title: Source Attempts type: array sources: description: The pages the agent successfully read, deduplicated. items: $ref: '#/components/schemas/EnrichmentRunSourceSchema' title: Sources type: array steps: items: $ref: '#/components/schemas/EnrichmentRunStepSchema' title: Steps type: array total_tokens: anyOf: - type: integer - type: 'null' description: Provider-reported total tokens; null when unreported. title: Total Tokens web_read_credits: anyOf: - type: integer - type: 'null' description: >- Web-read credits the run's page fetches billed, summed across steps; null for cells without web tools or rows predating the telemetry. title: Web Read Credits required: - id - run_id - action_key - model_key - prompt_text - outcome - error - error_class - duration_ms - confidence - reasoning - steps - sources - raw_response - prompt_tokens - completion_tokens - total_tokens - cached_tokens - reasoning_tokens - web_read_credits - credits_charged - source_attempts - created_at - details_pruned title: EnrichmentCellRunSchema type: object UnauthorizedResponse: properties: detail: description: The detail of why the request is unauthorized. title: Detail type: string required: - detail title: UnauthorizedResponse type: object ForbiddenResponse: properties: detail: description: The detail of why the request is forbidden. title: Detail type: string required: - detail title: ForbiddenResponse type: object NotFoundResponse: properties: detail: description: The detail of why the resource was not found. title: Detail type: string required: - detail title: NotFoundResponse type: object UnprocessableEntityResponse: properties: detail: description: >- The detail of the error. This is the error message to show to the user. You should also use the issues field to show more detailed error messages per field. Use this field for a single liner error message. title: Detail type: string issues: description: >- The issues that caused the error. There can be multiple issues. Each issue is a user-facing error message. items: $ref: '#/components/schemas/UnprocessableEntityIssue' title: Issues type: array required: - detail - issues title: UnprocessableEntityResponse type: object ServerErrorResponse: properties: detail: description: The detail of why the server returned an error. title: Detail type: string required: - detail title: ServerErrorResponse type: object AgentConfidence: description: The agent's own read on how solid its final answer is. enum: - high - medium - low title: AgentConfidence type: string EnrichmentErrorClass: description: |- Machine-readable classification of a failed enrichment cell. The class decides everything downstream: whether the executor retries (transient classes) or gives up (terminal ones), what the cell tooltip names, and whether the failure is free — errors never charge, but only a classified error can prove which kind it was. enum: - timeout - rate_limited - provider_error - network - schema_violation - refused - invalid_input - no_data - enrichment_failed - unexpected title: EnrichmentErrorClass type: string EnrichmentCellOutcome: description: |- How one cell's enrichment execution ended. ``SKIPPED`` is a first-class third outcome: the action was deliberately not run (a required input was empty), no work was done, and nothing is charged. enum: - succeeded - failed - skipped title: EnrichmentCellOutcome type: string EnrichmentRunSourceAttemptSchema: description: >- One attempt inside a curated enrichment, in the order it was made. Position and outcome only. A customer can see that four sources were tried and the third answered, which is what makes an empty or expensive cell explicable — but not WHICH sources, because that is not a fact about their data. properties: attempt_index: title: Attempt Index type: integer credits_charged: description: The winning attempt's price; zero for every other attempt. title: Credits Charged type: number error: anyOf: - type: string - type: 'null' title: Error error_class: anyOf: - $ref: '#/components/schemas/EnrichmentErrorClass' - type: 'null' outcome: $ref: '#/components/schemas/EnrichmentCellOutcome' skipped_reason: anyOf: - type: string - type: 'null' description: >- Why a skipped attempt never ran (e.g. its missing-input message); null for attempts that executed. title: Skipped Reason required: - attempt_index - outcome - error - error_class - credits_charged title: EnrichmentRunSourceAttemptSchema type: object EnrichmentRunSourceSchema: description: One source the agent actually read — what, called what, and when. properties: fetched_at: anyOf: - format: date-time type: string - type: 'null' description: When the agent read it; null on records that predate it. title: Fetched At title: anyOf: - type: string - type: 'null' title: Title url: title: Url type: string required: - url - title - fetched_at title: EnrichmentRunSourceSchema type: object EnrichmentRunStepSchema: description: One agent step as the inspection drawer renders it. properties: action: $ref: '#/components/schemas/AgentStepAction' detail: description: The search query or fetched URL. title: Detail type: string duration_ms: anyOf: - type: integer - type: 'null' description: How long the step took; null on records that predate timing. title: Duration Ms observation: description: One line on what came back. title: Observation type: string outcome: $ref: '#/components/schemas/AgentStepOutcome' description: 'How the step ended: completed, failed, or refused.' thought: anyOf: - type: string - type: 'null' description: >- The model's stated reasoning for this step; null on records that predate thoughts. title: Thought required: - action - detail - observation - duration_ms - outcome title: EnrichmentRunStepSchema type: object UnprocessableEntityIssue: properties: input: anyOf: - type: string - type: integer - type: number - type: boolean - items: {} type: array - additionalProperties: true type: object description: The user's input that caused the error. title: Input loc: description: >- The location of the error. Always contains 1 or 2 elements. The first element is the type of location (e.g. 'body', 'query', 'path', 'header'). The second element is the name of the field that caused the error. If the error is not related to a specific field, the second element is not present. items: type: string title: Loc type: array msg: description: The message of the error. The error message to show to the user. title: Msg type: string type: description: >- The type of the error. Useful for frontend code to handle different types of errors. title: Type type: string required: - loc - msg - type - input title: UnprocessableEntityIssue type: object AgentStepAction: description: |- What one agent step did. ``FETCH_PAGE`` is historical: the loop emits ``SCRAPE`` for the same act today, but stored step traces still carry the old value and must keep deserializing, so the member stays. enum: - search - fetch_page - map - scrape - crawl - mcp_tool - finish title: AgentStepAction type: string AgentStepOutcome: description: How one agent step ended — the structured half of its observation. enum: - completed - failed - refused title: AgentStepOutcome type: string securitySchemes: HTTPBearer: scheme: bearer type: http APIKeyHeader: in: header name: X-API-Key type: apiKey ````