> ## 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. # Generate an enrichment column draft > Turn one plain-language sentence into a draft AI-column configuration — display name, prompt with column references, output fields and a model suggestion. The draft seeds the editor and is not saved. ## OpenAPI ````yaml /openapi.json post /table-enrichments/generate/ 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: /table-enrichments/generate/: post: tags: - table-enrichments summary: Generate an enrichment column draft description: >- Turn one plain-language sentence into a draft AI-column configuration — display name, prompt with column references, output fields and a model suggestion. The draft seeds the editor and is not saved. operationId: generate_enrichment_column requestBody: content: application/json: schema: $ref: '#/components/schemas/GenerateEnrichmentColumnRequestSchema' required: true responses: '200': content: application/json: schema: $ref: '#/components/schemas/EnrichmentColumnDraftSchema' 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: Table 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: GenerateEnrichmentColumnRequestSchema: description: One sentence to turn into a draft AI-column configuration. properties: instruction: description: A plain-language description of the column to build. maxLength: 2000 minLength: 1 title: Instruction type: string table_id: description: The table whose columns the prompt may reference. format: uuid title: Table Id type: string required: - table_id - instruction title: GenerateEnrichmentColumnRequestSchema type: object EnrichmentColumnDraftSchema: description: A generated draft configuration that seeds the column editor. properties: action_key: title: Action Key type: string display_name: title: Display Name type: string model_key: anyOf: - type: string - type: 'null' description: The suggested model; null keeps the catalog default. title: Model Key output: discriminator: mapping: fields: $ref: '#/components/schemas/EnrichmentOutputFields-Output' json_schema: $ref: '#/components/schemas/EnrichmentOutputRawSchema' propertyName: mode oneOf: - $ref: '#/components/schemas/EnrichmentOutputFields-Output' - $ref: '#/components/schemas/EnrichmentOutputRawSchema' title: Output prompt: $ref: '#/components/schemas/EnrichmentPromptTemplate' description: The drafted prompt, with references to existing columns. web_research: description: >- Whether the drafted task needs live web research. Always false for actions other than Use AI, which is the only one with a web-research switch to prefill. title: Web Research type: boolean required: - display_name - action_key - prompt - output - model_key - web_research title: EnrichmentColumnDraftSchema 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 EnrichmentOutputFields-Output: description: |- The fields-mode output shape: repeatable named typed fields. The default is Clay's: one text field named ``response``. properties: fields: items: $ref: '#/components/schemas/EnrichmentOutputField' maxItems: 20 minItems: 1 title: Fields type: array mode: const: fields default: fields title: Mode type: string title: EnrichmentOutputFields type: object EnrichmentOutputRawSchema: description: >- The advanced output shape: a raw strict-mode JSON schema, verbatim. Held to every strict-mode constraint at SAVE time by the service layer — the shape is stored exactly as authored, and validation failures name the exact violated rule rather than surfacing at run time. properties: json_schema: additionalProperties: true description: A strict-mode JSON schema with an object root. title: Json Schema type: object mode: const: json_schema default: json_schema title: Mode type: string required: - json_schema title: EnrichmentOutputRawSchema type: object EnrichmentPromptTemplate: description: >- The persisted prompt: an ordered mix of text and column references. Resolution to a per-row string happens at run time; the segment list is the single source of truth the editor renders pills from and the executor substitutes values into. properties: format: default: plain description: >- How the editor reads text segments: 'markdown' renders them as markdown source, 'plain' verbatim. Templates saved before the field existed carry no value and default to 'plain', the safe reading. Purely editor metadata — run-time resolution concatenates text segments identically either way. enum: - plain - markdown title: Format type: string segments: items: discriminator: mapping: column_ref: $ref: '#/components/schemas/EnrichmentPromptColumnRefSegment' text: $ref: '#/components/schemas/EnrichmentPromptTextSegment' propertyName: type oneOf: - $ref: '#/components/schemas/EnrichmentPromptTextSegment' - $ref: '#/components/schemas/EnrichmentPromptColumnRefSegment' maxItems: 100 title: Segments type: array title: EnrichmentPromptTemplate 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 EnrichmentOutputField: description: |- One named, typed value an enrichment run returns. Field types are drawn from the platform's existing column types, so any single field can later be promoted into an ordinary typed column without inventing a new type system. properties: choices: anyOf: - items: type: string maxItems: 200 type: array - type: 'null' description: The fixed option list for a select field; None elsewhere. title: Choices description: anyOf: - maxLength: 500 type: string - type: 'null' description: 'Shown to the model: what this field should contain.' title: Description field_type: $ref: '#/components/schemas/TableColumnType' default: text name: maxLength: 100 minLength: 1 title: Name type: string required: - name title: EnrichmentOutputField type: object EnrichmentPromptColumnRefSegment: description: |- An inline reference to another column's per-row value. Stored by column IDENTITY, never by display name — renaming a column can never change what a prompt means, and a deleted column is detectable rather than silently resolving to nothing. properties: column_id: format: uuid title: Column Id type: string path: anyOf: - maxLength: 300 type: string - type: 'null' description: >- Dot-separated address of a sub-value inside a structured cell — output field names and zero-based list indices, e.g. 'competitors.0'. None references the whole cell. Emptiness for the required rule is judged on the addressed sub-value. title: Path required: default: true description: >- Whether a row whose value for this column is empty is skipped entirely instead of run with a blank substituted. title: Required type: boolean type: const: column_ref default: column_ref title: Type type: string required: - column_id title: EnrichmentPromptColumnRefSegment type: object EnrichmentPromptTextSegment: description: A literal run of prompt text. properties: text: maxLength: 20000 title: Text type: string type: const: text default: text title: Type type: string required: - text title: EnrichmentPromptTextSegment type: object TableColumnType: description: >- The type a user picks for a table column. Ordered as the picker shows them, which is also the order the groups below run in: text-ish, then numeric, then choice, then structured. enum: - text - paragraph - url - email - image_url - person - select - number - decimal - currency - checkbox - date - multi_select - list - object title: TableColumnType type: string securitySchemes: HTTPBearer: scheme: bearer type: http APIKeyHeader: in: header name: X-API-Key type: apiKey ````