> ## Documentation Index
> Fetch the complete documentation index at: https://docs.agent.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Contact Research

> Research contacts using Perplexity Sonar Pro and deep web search. Discovers, verifies, and enriches person profiles using multi-source triangulation. Generates conversation intelligence with icebreakers, talking points, and questions to ask.



## OpenAPI

````yaml /api-reference/v1/v1.1.0_openapi.json post /action/contact_research
openapi: 3.0.0
info:
  version: 1.1.0
  title: AI Actions - Get Data
  description: API specifications for 'Get Data' category AI actions.
  license:
    name: MIT
servers:
  - url: https://api-lr.agent.ai/v1
security:
  - bearerAuth: []
paths:
  /action/contact_research:
    post:
      tags:
        - Integration Intelligence
      summary: Contact Research
      description: >-
        Research contacts using Perplexity Sonar Pro and deep web search.
        Discovers, verifies, and enriches person profiles using multi-source
        triangulation. Generates conversation intelligence with icebreakers,
        talking points, and questions to ask.
      operationId: contactResearch
      requestBody:
        required: true
        content:
          application/json:
            schema:
              type: object
              properties:
                contacts:
                  type: string
                  x-ui: textarea
                  description: >-
                    Flexible formats: 'Name <email>', 'email@domain.com', or
                    'Name'. Comma-separated for multiple contacts. Examples:
                    'John Doe <john@company.com>, jane@startup.io, Bob Smith'
                mode:
                  type: string
                  enum:
                    - thorough
                    - fast
                  description: >-
                    Fast (~15-20s): basic profile, 2 retries. Thorough
                    (~30-60s): verification scoring, 5 retries, authoritative
                    sources.
                  default: thorough
                with_company_context:
                  type: boolean
                  description: >-
                    Also research the contact's company for cross-validation and
                    richer context.
                  default: false
                output_format:
                  type: string
                  enum:
                    - json
                    - markdown
                  description: >-
                    JSON returns structured data, Markdown returns formatted
                    text, HTML generates a styled report via AI.
                  default: json
                output_variable_name:
                  type: string
                  description: Variable name to store the research results.
                  default: contact_research_results
                  pattern: ^[a-zA-Z][a-zA-Z0-9_]*$
              required:
                - contacts
                - mode
                - output_variable_name
      responses:
        '200':
          description: Successful response
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/ActionResponse'
        '400':
          description: Bad request
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/ActionResponse'
        '401':
          description: Unauthorized - invalid or missing bearer token
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/ActionResponse'
        '500':
          description: Internal server error
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/ActionResponse'
components:
  schemas:
    ActionResponse:
      type: object
      properties:
        status:
          type: integer
          format: int32
          description: HTTP status code of the action response
        response:
          type: object
          description: Response data from the action
  securitySchemes:
    bearerAuth:
      type: http
      scheme: bearer
      description: >-
        Bearer token from your account
        ([https://agent.ai/user/integrations#api](https://agent.ai/user/integrations#api))

````