> ## 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 agent's conversations > Each contact the agent has written to: what it found out about them and every message it wrote them, oldest first, newest conversation first. subject_key narrows to one contact, by the key the sequence gave them; a contact nobody has written to has none. ## OpenAPI ````yaml /openapi.json get /outbound-agents/{agent_id}/conversations/ 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 spend 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: Senders, 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: >- AI apps connected to the workspace: Claude, ChatGPT, Claude Code or any other MCP client a person signed in to Oneprofile's MCP server with. name: ai_apps - 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 an agent's Preview: example rows run one at a time, and a Looks good on each. Needs work lives under agent-learnings. name: agent-training - description: >- An agent's learnings, the one-line rules it follows on every output, and the thumbs down that teaches them: give one with what was wrong, list the ones on a subject, Undo one, and price the redo it would run. name: agent-learnings - 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 recording where a new workspace came from: the marketing page or campaign its signup link carried, sent once after signup. name: attribution - 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}/conversations/: get: tags: - outbound-agents summary: List the agent's conversations description: >- Each contact the agent has written to: what it found out about them and every message it wrote them, oldest first, newest conversation first. subject_key narrows to one contact, by the key the sequence gave them; a contact nobody has written to has none. operationId: list_outbound_conversations parameters: - in: path name: agent_id required: true schema: format: uuid title: Agent Id type: string - in: query name: subject_key required: false schema: anyOf: - maxLength: 255 type: string - type: 'null' description: >- Only the conversation with this contact, by the caller's key for them, e.g. sequence::record:. A contact nobody has written to has none. title: Subject Key description: >- Only the conversation with this contact, by the caller's key for them, e.g. sequence::record:. A contact nobody has written to has none. - description: The number of items to return. in: query name: limit required: false schema: default: 10 description: The number of items to return. maximum: 100 minimum: 1 title: Limit type: integer - in: query name: order_by required: false schema: $ref: '#/components/schemas/OrderingParametersForIdCreatedAt' default: created_at enum: - id - created_at type: string - in: query name: order_direction required: false schema: default: desc enum: - asc - desc title: Order Direction type: string - description: >- Set the cursor to the next or previous page. You can get the cursor from the previous page's response. in: query name: cursor required: false schema: anyOf: - type: string - type: 'null' description: >- Set the cursor to the next or previous page. You can get the cursor from the previous page's response. title: Cursor for pagination. responses: '200': content: application/json: schema: $ref: >- #/components/schemas/PaginatedResponse_OutboundConversationReadSchema_ 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: OrderingParametersForIdCreatedAt: enum: - id - created_at title: OrderingParametersForIdCreatedAt type: string PaginatedResponse_OutboundConversationReadSchema_: properties: data: description: The list of ResponseItems. items: $ref: '#/components/schemas/OutboundConversationReadSchema' title: Data type: array next_page_cursor: anyOf: - type: string - type: 'null' description: >- The cursor to the next page. If there are no more pages, this is None. previous_page_cursor: anyOf: - type: string - type: 'null' description: >- The cursor to the previous page. If there are no previous pages, this is None. title: PaginatedResponse[OutboundConversationReadSchema] 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 OutboundConversationReadSchema: description: >- One contact's running conversation with the agent, and what it has written. properties: company_key: anyOf: - type: string - type: 'null' title: Company Key id: format: uuid title: Id type: string last_turn_at: anyOf: - format: date-time type: string - type: 'null' title: Last Turn At messages: items: $ref: '#/components/schemas/OutboundMessageReadSchema' title: Messages type: array profile: anyOf: - $ref: '#/components/schemas/OutboundProfileReadSchema' - type: 'null' description: >- The contact's LinkedIn profile as person research kept it, when it read one. profile_read_at: anyOf: - format: date-time type: string - type: 'null' description: When the profile was read; null until an opener read one. title: Profile Read At research_brief: items: $ref: '#/components/schemas/OutboundResearchFactReadSchema' title: Research Brief type: array researched_at: anyOf: - format: date-time type: string - type: 'null' title: Researched At sources: items: type: string title: Sources type: array subject_key: title: Subject Key type: string required: - id - subject_key - company_key - research_brief - sources - researched_at - last_turn_at - messages title: OutboundConversationReadSchema 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 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 profile_read: default: false description: >- Whether the agent read the contact's LinkedIn profile for this message. title: Profile Read type: boolean 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 OutboundProfileReadSchema: description: What person research kept of the contact's LinkedIn profile. properties: about: anyOf: - type: string - type: 'null' title: About company_name: anyOf: - type: string - type: 'null' title: Company Name education: items: type: string title: Education type: array followers: anyOf: - type: integer - type: 'null' title: Followers headline: anyOf: - type: string - type: 'null' title: Headline job_title: anyOf: - type: string - type: 'null' title: Job Title location: anyOf: - type: string - type: 'null' title: Location profile_url: anyOf: - type: string - type: 'null' title: Profile Url work_history: items: $ref: '#/components/schemas/OutboundProfileRoleReadSchema' title: Work History type: array required: - headline - about - job_title - company_name - location - followers - work_history - education - profile_url title: OutboundProfileReadSchema type: object OutboundResearchFactReadSchema: description: One fact the research kept about the contact. properties: category: $ref: '#/components/schemas/ResearchFactCategory' fact: title: Fact type: string source_title: anyOf: - type: string - type: 'null' title: Source Title source_url: anyOf: - type: string - type: 'null' title: Source Url required: - fact - category - source_url - source_title title: OutboundResearchFactReadSchema 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 web-read 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 OutboundProfileRoleReadSchema: description: One role from the profile's work history. properties: employer: anyOf: - type: string - type: 'null' title: Employer end: anyOf: - type: string - type: 'null' title: End start: anyOf: - type: string - type: 'null' title: Start title: anyOf: - type: string - type: 'null' title: Title required: - title - employer - start - end title: OutboundProfileRoleReadSchema type: object ResearchFactCategory: description: >- The kinds of fact a research brief may hold; anything else the opener found is dropped. enum: - role - company - product - news - hiring - funding - technology - content - other title: ResearchFactCategory type: string securitySchemes: APIKeyHeader: in: header name: X-API-Key type: apiKey HTTPBearer: scheme: bearer type: http ```` This documentation is built and hosted on [Mintlify](https://mintlify.com), a developer documentation platform.