> ## 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.

# Read one message the agent wrote

> One written message with everything shown beside it: the agent's own confidence, the independent quality score, what it built the message on, and what the checks found.



## OpenAPI

````yaml /openapi.json get /outbound-agents/{agent_id}/messages/{message_id}/
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: >-
      The docked AI Assistant: its general chat about the workspace and the
      product, streamed as Server-Sent Events, and the one list of a person's
      threads across every assistant, with pin, rename, delete and the
      search-to-table link.
    name: assistant
  - description: >-
      The messages a person keeps to send the assistant again: the ones the
      workspace saved and the ones that ship with the product, with save,
      rename, edit and delete.
    name: assistant-prompt
  - description: >-
      Granted workspace actions: what the AI Assistant proposed or applied in a
      conversation, the approve and dismiss decisions on each card, the
      workspace's approval threshold and default grants, and the eight verbs.
    name: workspace-actions
  - description: >-
      The Getting started checklist: a workspace's progress through the six
      steps from its first people search to its first launched sequence.
    name: onboarding
  - 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: >-
      The workspace's recontact rule: how long before anyone hears from us
      again.
    name: contact_cooldown
  - description: 'Sequence authoring: the graph, the table-backed audience, previews.'
    name: sequences
  - description: >-
      The outbound agent behind a sequence: the voice it writes in, its
      per-message prompts, what it wrote and what people told it.
    name: outbound-agents
  - 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 approval queue: everything waiting on a person across every sender and
      channel, and the workspace's manual or automatic modes per channel.
    name: outreach
  - 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: >-
      The Model Context Protocol endpoint: use Oneprofile from Claude Code,
      Claude Desktop, Cursor or any other MCP client, with an API key as the
      bearer token.
    name: mcp
  - 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: >-
      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, interest signals and social proof
      — plus domain-based generation and the reference documents whose summaries
      ride alongside those fields.
    name: ai-context
  - description: >-
      Endpoints for the signed-in user's Google Drive connection: starting and
      finishing the OAuth grant, checking or dropping it, and minting the
      short-lived token the Google Picker needs.
    name: google-drive
paths:
  /outbound-agents/{agent_id}/messages/{message_id}/:
    get:
      tags:
        - outbound-agents
      summary: Read one message the agent wrote
      description: >-
        One written message with everything shown beside it: the agent's own
        confidence, the independent quality score, what it built the message on,
        and what the checks found.
      operationId: get_outbound_message
      parameters:
        - in: path
          name: agent_id
          required: true
          schema:
            format: uuid
            title: Agent Id
            type: string
        - in: path
          name: message_id
          required: true
          schema:
            format: uuid
            title: Message Id
            type: string
      responses:
        '200':
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/OutboundMessageReadSchema'
          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: Outbound 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:
        - APIKeyHeader: []
        - HTTPBearer: []
components:
  schemas:
    OutboundMessageReadSchema:
      description: One message the agent wrote, with everything shown beside it.
      properties:
        agent_version:
          title: Agent Version
          type: integer
        angle:
          anyOf:
            - type: string
            - type: 'null'
          title: Angle
        body:
          title: Body
          type: string
        confidence:
          anyOf:
            - $ref: '#/components/schemas/MessageConfidence'
            - type: 'null'
        confidence_score:
          anyOf:
            - type: integer
            - type: 'null'
          title: Confidence Score
        confident:
          anyOf:
            - type: boolean
            - type: 'null'
          title: Confident
        conversation_id:
          format: uuid
          title: Conversation Id
          type: string
        created_at:
          format: date-time
          title: Created At
          type: string
        credits_charged:
          title: Credits Charged
          type: integer
        error:
          anyOf:
            - type: string
            - type: 'null'
          title: Error
        facts_used:
          items:
            type: string
          title: Facts Used
          type: array
        findings:
          items:
            $ref: '#/components/schemas/OutboundFindingReadSchema'
          title: Findings
          type: array
        generated_body:
          title: Generated Body
          type: string
        generated_subject:
          anyOf:
            - type: string
            - type: 'null'
          title: Generated Subject
        id:
          format: uuid
          title: Id
          type: string
        insufficient_data:
          title: Insufficient Data
          type: boolean
        is_preview:
          title: Is Preview
          type: boolean
        judge_verdict:
          anyOf:
            - $ref: '#/components/schemas/OutboundJudgeVerdictReadSchema'
            - type: 'null'
        kind:
          $ref: '#/components/schemas/MessageKind'
        model_key:
          title: Model Key
          type: string
        opens_thread:
          title: Opens Thread
          type: boolean
        price_tenths:
          title: Price Tenths
          type: integer
        quality_score:
          anyOf:
            - type: integer
            - type: 'null'
          title: Quality Score
        reach:
          $ref: '#/components/schemas/AgentReach'
        reasoning:
          anyOf:
            - type: string
            - type: 'null'
          title: Reasoning
        sent_at:
          anyOf:
            - format: date-time
              type: string
            - type: 'null'
          title: Sent At
        slot_key:
          anyOf:
            - type: string
            - type: 'null'
          title: Slot Key
        status:
          $ref: '#/components/schemas/MessageStatus'
        subject:
          anyOf:
            - type: string
            - type: 'null'
          title: Subject
      required:
        - id
        - conversation_id
        - kind
        - slot_key
        - opens_thread
        - subject
        - body
        - generated_subject
        - generated_body
        - confidence
        - confidence_score
        - quality_score
        - confident
        - reasoning
        - insufficient_data
        - findings
        - judge_verdict
        - facts_used
        - angle
        - model_key
        - reach
        - price_tenths
        - credits_charged
        - status
        - error
        - is_preview
        - agent_version
        - sent_at
        - created_at
      title: OutboundMessageReadSchema
      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
    MessageConfidence:
      description: The writer's own read on whether its message is ready to send unedited.
      enum:
        - high
        - medium
        - low
      title: MessageConfidence
      type: string
    OutboundFindingReadSchema:
      description: One thing a check said about a written message.
      properties:
        code:
          title: Code
          type: string
        excerpt:
          anyOf:
            - type: string
            - type: 'null'
          title: Excerpt
        message:
          title: Message
          type: string
        severity:
          title: Severity
          type: string
      required:
        - code
        - severity
        - message
        - excerpt
      title: OutboundFindingReadSchema
      type: object
    OutboundJudgeVerdictReadSchema:
      description: What the independent judge said about a written message.
      properties:
        grounded:
          title: Grounded
          type: boolean
        language_ok:
          title: Language Ok
          type: boolean
        on_topic:
          title: On Topic
          type: boolean
        quality_score:
          title: Quality Score
          type: integer
        reasons:
          items:
            type: string
          title: Reasons
          type: array
        safe:
          title: Safe
          type: boolean
      required:
        - grounded
        - safe
        - on_topic
        - language_ok
        - quality_score
        - reasons
      title: OutboundJudgeVerdictReadSchema
      type: object
    MessageKind:
      description: >-
        What one written message is, which decides its rules, its length and its
        channel.
      enum:
        - email
        - linkedin_connection_note
        - linkedin_message
        - linkedin_inmail
        - reply_email
        - reply_linkedin
      title: MessageKind
      type: string
    AgentReach:
      description: |-
        How far a Use AI run may reach beyond the table's own data.

        The price lever and the budget lever both key on this. ``NONE`` is one
        plain completion; ``MCP`` runs the research loop against ONLY the
        org's attached MCP tools (no Firecrawl fees, no page summaries);
        ``WEB`` is the full web research loop. A run that has both web and MCP
        executes — and bills — as ``WEB``.
      enum:
        - none
        - mcp
        - web
      title: AgentReach
      type: string
    MessageStatus:
      description: >-
        Where one written message stands.


        WRITING is a lease: the model is being asked. WRITTEN, QUEUED (a person
        is

        looking at it) and EDITED (a person changed it) are the three sendable

        states. UNPAID is written but not fully charged, so it is not sendable

        until the remainder is collected. SENT, REJECTED, SUPERSEDED and FAILED
        are

        terminal.
      enum:
        - writing
        - written
        - unpaid
        - queued
        - sent
        - edited
        - rejected
        - superseded
        - failed
      title: MessageStatus
      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:
    APIKeyHeader:
      in: header
      name: X-API-Key
      type: apiKey
    HTTPBearer:
      scheme: bearer
      type: http

````