> ## 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. # Suggest example rows to train on > Example input rows to fill the training grid with, so the author is not asked to invent test data for an agent they have not run. Real values are read from one of the org's own tables when a table's columns can feed every input; otherwise they are written from the agent's prompt and the workspace's AI Context. The set is remembered on the agent, so asking again offers the same rows until `regenerate` is sent or the agent's inputs change. Read-only against the workspace: no session, no runs, no credits. ## OpenAPI ````yaml /openapi.json post /agent-training/saved-agents/{saved_agent_id}/sample-rows/ 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: /agent-training/saved-agents/{saved_agent_id}/sample-rows/: post: tags: - agent-training summary: Suggest example rows to train on description: >- Example input rows to fill the training grid with, so the author is not asked to invent test data for an agent they have not run. Real values are read from one of the org's own tables when a table's columns can feed every input; otherwise they are written from the agent's prompt and the workspace's AI Context. The set is remembered on the agent, so asking again offers the same rows until `regenerate` is sent or the agent's inputs change. Read-only against the workspace: no session, no runs, no credits. operationId: suggest_training_sample_rows parameters: - in: path name: saved_agent_id required: true schema: format: uuid title: Saved Agent Id type: string requestBody: content: application/json: schema: $ref: '#/components/schemas/SampleRowsRequestSchema' required: true responses: '200': content: application/json: schema: $ref: '#/components/schemas/SampleRowsResponseSchema' 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: Saved agent not found '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: SampleRowsRequestSchema: description: A request for example rows to fill the training grid with. properties: count: default: 5 description: How many examples to offer. maximum: 25 minimum: 1 title: Count type: integer regenerate: default: false description: >- Skip the agent's remembered examples and find fresh ones, replacing what was stored. What 'Suggest different examples' asks for; the default replays the set so training the same agent twice offers the same rows. title: Regenerate type: boolean title: SampleRowsRequestSchema type: object SampleRowsResponseSchema: description: Example rows to fill the grid with, and where they came from. properties: inputs_changed: default: false description: >- A remembered set was discarded because the agent's inputs no longer matched it, so these are fresh. title: Inputs Changed type: boolean origin: $ref: '#/components/schemas/SampleRowsOrigin' description: >- How the values were found: read out of one of the org's own tables, or written by the model. remembered: default: false description: These were replayed from the agent rather than found afresh. title: Remembered type: boolean rows: description: One set of input values per example, in offer order. items: additionalProperties: maxLength: 8000 type: string propertyNames: maxLength: 100 minLength: 1 type: object title: Rows type: array table_name: anyOf: - type: string - type: 'null' description: The table the values came from; null when they were generated. title: Table Name required: - rows - origin title: SampleRowsResponseSchema 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 SampleRowsOrigin: description: Where an agent's remembered example rows were found. enum: - table - generated title: SampleRowsOrigin type: string 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 securitySchemes: HTTPBearer: scheme: bearer type: http APIKeyHeader: in: header name: X-API-Key type: apiKey ````