> ## 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.

# List the columns a search would create

> The columns a table built from this search type can show, in order, and which of them a preview reveals. Free to call and never fetches a row, so a builder can draw the table header before any preview is bought. A column that no added lead fills is left out when the table is created; a preview, which has leads in hand, lists only the columns they fill. Buying-signal searches take the chosen signal as `signal_type`, which adds the columns that signal's own details earn.



## OpenAPI

````yaml /openapi.json get /find-leads/columns/
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. Alongside people
      and company searches, leads can be sourced from buying signals — what a
      company or person just did — with a catalogue endpoint behind the picker
      that builds them.
    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 affiliate program's own dashboard: enrolling and
      claiming a code, the summary, stats and activity feed, the commission
      ledger, and identity verification and payouts.
    name: affiliate
  - 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:
  /find-leads/columns/:
    get:
      tags:
        - find-leads
      summary: List the columns a search would create
      description: >-
        The columns a table built from this search type can show, in order, and
        which of them a preview reveals. Free to call and never fetches a row,
        so a builder can draw the table header before any preview is bought. A
        column that no added lead fills is left out when the table is created; a
        preview, which has leads in hand, lists only the columns they fill.
        Buying-signal searches take the chosen signal as `signal_type`, which
        adds the columns that signal's own details earn.
      operationId: list_lead_search_columns
      parameters:
        - in: query
          name: record_type
          required: true
          schema:
            $ref: '#/components/schemas/LeadRecordType'
        - description: >-
            For a buying-signal search, the one signal it looks for. Ignored for
            every other search.
          in: query
          name: signal_type
          required: false
          schema:
            anyOf:
              - maxLength: 64
                type: string
              - type: 'null'
            description: >-
              For a buying-signal search, the one signal it looks for. Ignored
              for every other search.
            title: Signal Type
      responses:
        '200':
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/LeadColumnPlanResponseSchema'
          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
        '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:
        - APIKeyHeader: []
        - HTTPBearer: []
components:
  schemas:
    LeadRecordType:
      description: |-
        Which dataset a search runs against, and so which provider serves it.

        Values are persisted in String(16) columns, so every member must stay
        within 16 characters.
      enum:
        - people
        - companies
        - signal_companies
        - signal_people
        - lookalikes
        - local_businesses
        - tech_companies
      title: LeadRecordType
      type: string
    LeadColumnPlanResponseSchema:
      description: >-
        The columns a search would create, so a header can be drawn before any
        rows are bought.
      properties:
        columns:
          description: >-
            Every column a table built from this search type can show, in order.
            A column that no added lead fills is left out when the table is
            created; a preview, which has leads in hand, lists only the columns
            they fill.
          items:
            $ref: '#/components/schemas/LeadColumnSchema'
          title: Columns
          type: array
      required:
        - columns
      title: LeadColumnPlanResponseSchema
      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
    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
    LeadColumnSchema:
      description: >-
        One column of the table a search would create, and whether a preview
        shows it.
      properties:
        kind:
          description: >-
            How to show the values: text, number, url, date, boolean or list. A
            hint for drawing the header, not a promise about every cell.
          enum:
            - text
            - number
            - url
            - date
            - boolean
            - list
          title: Kind
          type: string
        label:
          description: The column's name, as the created table will call it.
          title: Label
          type: string
        revealed:
          description: >-
            Whether a preview carries this column's values. A column that is not
            revealed has no value in a preview row at all, rather than a hidden
            one, so there is nothing to blur on the page.
          title: Revealed
          type: boolean
      required:
        - label
        - kind
        - revealed
      title: LeadColumnSchema
      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
  securitySchemes:
    APIKeyHeader:
      in: header
      name: X-API-Key
      type: apiKey
    HTTPBearer:
      scheme: bearer
      type: http

````