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

# Update a monitor's settings.

> Updates the monitor configuration. Only include fields that need to be
changed - unspecified fields will retain their current values.



## OpenAPI

````yaml https://api.parallellabs.app/docs/openapi.json put /api/v0/monitors/{monitor_id}
openapi: 3.0.3
info:
  description: >

    # Introduction


    Welcome to the API. This API provides programmatic access to all platform
    features including AI agents, smart lists, documents, sequences, and media
    generation.


    ## Authentication


    The API supports two types of authentication:


    1. **Company API Keys** - Scoped to a specific company

    2. **Personal Access Keys** - User-level keys that work across all your
    companies


    ---


    ### Option 1: Company API Key


    Company API keys are tied to a specific company. Use this when you only need
    to access one company.


    **Getting a Company API Key:**


    1. Log in to your dashboard

    2. Navigate to **Integrations** page

    3. Find the **API Keys** section and click **Generate New Key**

    4. Copy and securely store your API key (it won't be shown again)


    **Usage:**


    Include your API key in the `X-API-Key` header:


    ```bash

    curl -X GET "https://api.example.com/api/v0/agents" \
      -H "X-API-Key: YOUR_COMPANY_API_KEY" \
      -H "Content-Type: application/json"
    ```


    Or use the `Authorization` header (OpenAI-compatible):


    ```bash

    curl -X GET "https://api.example.com/api/v0/agents" \
      -H "Authorization: Bearer YOUR_COMPANY_API_KEY" \
      -H "Content-Type: application/json"
    ```


    ---


    ### Option 2: Personal Access Key


    Personal access keys are tied to your user account and can access any
    company you belong to. Use this when you need to access multiple companies
    or build integrations that work across companies.


    **Getting a Personal Access Key:**


    1. Log in to your dashboard

    2. Click on your avatar/profile icon and go to **Profile**

    3. Find the **Personal Access Keys** section

    4. Click **Create New Key**

    5. Give it a name and optionally set an expiration date

    6. Copy and securely store your key (it won't be shown again)


    **Usage:**


    Personal access keys start with `pak_` and **require** you to specify which
    company to access using the `X-Company-ID` header:


    ```bash

    curl -X GET "https://api.example.com/api/v0/agents" \
      -H "Authorization: Bearer pak_your_personal_access_key" \
      -H "X-Company-ID: your_company_id" \
      -H "Content-Type: application/json"
    ```


    Or using the `X-API-Key` header:


    ```bash

    curl -X GET "https://api.example.com/api/v0/agents" \
      -H "X-API-Key: pak_your_personal_access_key" \
      -H "X-Company-ID: your_company_id" \
      -H "Content-Type: application/json"
    ```


    You can also pass the company ID as a query parameter:


    ```bash

    curl -X GET
    "https://api.example.com/api/v0/agents?companyId=your_company_id" \
      -H "Authorization: Bearer pak_your_personal_access_key" \
      -H "Content-Type: application/json"
    ```


    **Finding Your Company ID:**


    Your company ID can be found in the dashboard URL when viewing a company, or
    via the Settings page.


    ---


    ### Which Key Type Should I Use?


    | Use Case | Recommended Key Type |

    |----------|---------------------|

    | Single company integration | Company API Key |

    | Multi-company dashboard | Personal Access Key |

    | CI/CD pipelines | Company API Key |

    | Personal automation scripts | Personal Access Key |

    | Third-party app integration | Company API Key |


    ---


    ## Response Format


    All responses are returned in JSON format. Successful responses include the
    requested data:


    ```json

    {
      "id": "abc123",
      "name": "My Agent",
      "created": "2024-01-15T10:30:00Z"
    }

    ```


    Error responses follow a consistent structure:


    ```json

    {
      "error": "Description of what went wrong"
    }

    ```


    ## HTTP Status Codes


    | Code | Description |

    |------|-------------|

    | 200 | Success |

    | 201 | Created |

    | 400 | Bad Request - Invalid parameters |

    | 401 | Unauthorized - Invalid or missing API key |

    | 403 | Forbidden - Insufficient permissions |

    | 404 | Not Found - Resource doesn't exist |

    | 429 | Too Many Requests - Rate limit exceeded |

    | 500 | Internal Server Error |


    ## Pagination


    List endpoints support pagination using `page` and `pageSize` parameters:


    ```

    GET /api/v0/agents?page=1&pageSize=20

    ```


    Paginated responses include:

    - `items`: Array of results

    - `total`: Total number of items

    - `pages`: Total number of pages

    - `hasNext`: Whether more pages exist


    ## OpenAI Compatibility


    The Chat API (`/api/v0/chat/completions`) is fully compatible with the
    OpenAI API specification.


    ---


    ## MCP (Model Context Protocol) Integration


    The platform provides an MCP server that allows AI assistants like Claude
    Desktop, Cursor, Windsurf, and other MCP-compatible tools to interact with
    the full platform API.


    ### What is MCP?


    Model Context Protocol (MCP) is an open standard that allows AI assistants
    to securely connect to external tools and data sources. With MCP, your AI
    assistant can:


    - Browse and manage your AI agents

    - Create and monitor outreach sequences

    - Search your knowledge base documents

    - Generate AI content, images, audio, and video

    - Execute browser automation tasks

    - And access every other platform feature


    ### MCP Server URL


    ```

    https://api.example.com/api/v0/mcp

    ```


    This endpoint implements the **MCP Streamable HTTP Transport** (JSON-RPC
    2.0) and is compatible with `mcp-remote` and other MCP clients.


    ### Available Tools


    The MCP server provides 3 tools that give access to the entire platform API:


    | Tool | Description |

    |------|-------------|

    | `platform_list_capabilities` | Browse available API endpoints by category
    (Agents, Sequences, Lists, Documents, etc.) |

    | `platform_get_action_details` | Get the full specification for an endpoint
    including required parameters |

    | `platform_execute_action` | Execute any API endpoint with automatic
    authentication |


    ### Connecting Claude Desktop


    1. Open your Claude Desktop configuration file:
       - **macOS**: `~/Library/Application Support/Claude/claude_desktop_config.json`
       - **Windows**: `%APPDATA%\Claude\claude_desktop_config.json`

    2. Add the MCP server configuration:


    ```json

    {
      "mcpServers": {
        "platform": {
          "command": "npx",
          "args": ["-y", "mcp-remote", "https://api.example.com/api/v0/mcp"],
          "env": {
            "API_KEY": "your_api_key_here"
          }
        }
      }
    }

    ```


    3. Restart Claude Desktop


    4. You can now ask Claude to interact with your platform data, for example:
       - "List my AI agents"
       - "Show me my active sequences"
       - "Create a new email sequence for cold outreach"
       - "Search my documents for pricing information"

    ### Connecting Cursor / Windsurf


    1. Open Settings and navigate to the MCP section


    2. Add a new MCP server with:
       - **URL**: `https://api.example.com/api/v0/mcp`
       - **Authentication**: Bearer token with your API key

    3. The platform tools will now be available in your AI assistant


    ### Connecting via mcp-remote (Generic)


    For any MCP-compatible client, you can use the `mcp-remote` package:


    ```bash

    npx mcp-remote https://api.example.com/api/v0/mcp --header "Authorization:
    Bearer YOUR_API_KEY"

    ```


    ### Authentication for MCP


    MCP requests use the same authentication as the REST API:


    **Using Company API Key:**

    ```

    Authorization: Bearer YOUR_COMPANY_API_KEY

    ```


    **Using Personal Access Key:**

    ```

    Authorization: Bearer pak_your_personal_access_key

    X-Company-ID: your_company_id

    ```


    ### Example MCP Interactions


    **List available capabilities:**

    ```json

    {
      "name": "platform_list_capabilities",
      "arguments": {
        "category": "Sequences"
      }
    }

    ```


    **Get action details:**

    ```json

    {
      "name": "platform_get_action_details",
      "arguments": {
        "operationId": "post_sequences.create_sequence"
      }
    }

    ```


    **Execute an action:**

    ```json

    {
      "name": "platform_execute_action",
      "arguments": {
        "operationId": "get_agents.list_agents"
      }
    }

    ```


    ### MCP Endpoints


    | Endpoint | Method | Description |

    |----------|--------|-------------|

    | `/api/v0/mcp/info` | GET | Get MCP server information and capabilities |

    | `/api/v0/mcp/tools/list` | GET | List all available MCP tools |

    | `/api/v0/mcp/tools/call` | POST | Execute an MCP tool call |
  title: API Documentation
  version: 1.0.0
servers:
  - url: https://api.parallellabs.app
security:
  - CompanyApiKey: []
  - BearerAuth: []
    CompanyId: []
tags:
  - description: >-
      Create, manage, and interact with AI agents that handle customer
      interactions across multiple channels including website chat, email, SMS,
      and voice.
    name: Agents
  - description: Generate text-to-speech audio using ElevenLabs.
    name: Audio
  - description: Execute browser automation tasks with natural language.
    name: Browser
  - description: OpenAI-compatible chat completions API.
    name: Chat
  - description: >-
      Manage companies and workspaces. Each company has its own agents, lists,
      sequences, and other resources.
    name: Companies
  - description: Manage team members and their access to companies.
    name: Company Users
  - description: >-
      AI content engine for generating and scheduling social media posts,
      articles, and marketing content.
    name: Content
  - description: >-
      SEO/AEO opportunity engine. Analyzes a domain against its competitors,
      search results, and AI assistant answers (ChatGPT, Google AI) to surface
      scored content opportunities, each with search volumes and a
      ready-to-generate brief. Workflow: 1) Create a project per ideal customer
      profile with content_research_createResearchProject — each project
      researches one domain against one ICP, so separate audiences stay
      separated rather than being blended into one result set. 2) Start a run
      with content_research_runResearchProject (charges credits up front, not
      refunded on failure; only one run per project can be active at a time). 3)
      Poll content_research_listResearchRuns until the newest run reports
      completed or failed. 4) Read results with
      content_research_listOpportunities, scoped by projectId. 5) Act on one
      with content_research_generateFromOpportunity to write the piece,
      content_research_trackOpportunity to monitor its keywords, or
      content_research_dismissOpportunity to hide it.
    name: Content Research
  - description: Organize employees into departments for better team structure.
    name: Departments
  - description: >-
      Browse and search platform documentation. Workflow: 1) Call
      documentation_listDocumentationCategories to see the top-level categories.
      2) Drill into one with documentation_listDocumentationPages?parentId={id}
      to see its child pages. 3) Call documentation_getDocumentationPage with a
      page id to read the full Markdown content. 4) Use
      documentation_searchDocumentation for keyword search across pages — it
      returns short snippets so you can decide which page to open in full.
      IMPORTANT: If the documentation you need does not exist or is incomplete
      after you browse and search, call documentation_submitDocumentationRequest
      to file a request so the docs team can add it.
    name: Documentation
  - description: Manage your knowledge base documents for AI training and reference.
    name: Documents
  - description: >-
      AI employees are customizable personas you can chat with. To chat with an
      employee: 1) Use platform_list_companies to find your company ID, 2) List
      employees with employees_listEmployeesApi or employees_getEmployees, 3)
      Chat using employees_chatEmployee with the employeeId and your message.
    name: Employees
  - description: Generate AI images using DALL-E, Leonardo, and other providers.
    name: Images
  - description: Manage incoming messages and communications across channels.
    name: Inbox
  - name: Integrations
  - description: Manage API keys for programmatic access to the platform.
    name: Keys
  - description: Create and manage landing pages for lead capture and campaigns.
    name: Landing Pages
  - description: >-
      Lead generation and contact enrichment. Generate leads from
      demographic/firmographic filters, premade intent segments, and
      buyer-intent keywords, and enrich a person or company from any identifiers
      (name, email, company, domain, LinkedIn URL). Workflow: 1) Call
      leads_listFieldOptions with describe=true to learn the filter surface,
      then re-call with field= or group= for valid enum values — never guess
      enum strings. 2) Call leads_searchSegments to find premade segment
      externalIds (e.g. "b2b_12636") for interest/intent targeting. 3) Call
      leads_generateLeads with filters, segment ids, and/or audience
      buyer-intent keywords to fetch leads. 4) Call leads_enrichContact to get
      full contact details (emails, phones, ~75 fields) for a specific person or
      company — prefer it over web search for contact lookups. 5) To keep the
      leads, call leads_importLeadsToList with the same criteria plus a
      destination listId: it builds the full audience and writes every matching
      contact into that smart list as rows. The list must already exist (create
      one with lists_saveList first), and the import runs in the background — it
      returns a taskId immediately. Generating leads costs 1 data credit per
      call and a matched enrichment costs 2; importing costs 1 per contact
      imported and is gated on the FULL match count (the whole audience is built
      regardless of how many rows you import), so check totalAvailable with
      leads_generateLeads before importing; the field-options and segments
      endpoints are free.
    name: Leads
  - description: Manage smart lists for organizing contacts and data.
    name: Lists
  - description: >-
      Create, schedule, and send one-shot marketing email campaigns to a smart
      list, and track open/click performance.
    name: Marketing Campaigns
  - description: >-
      Model Context Protocol (MCP) server for AI assistants like Claude Desktop,
      Cursor, and Windsurf. Provides tools for full platform API access.
    name: Mcp
  - description: >-
      Store and retrieve conversation context and user preferences for AI
      personalization.
    name: Memories
  - description: List available AI models.
    name: Models
  - description: >-
      Track keywords across social media platforms (Reddit, Hacker News,
      LinkedIn, X, Quora) and discover relevant conversations. Create monitors
      to track specific keywords, receive notifications when mentions are found,
      and generate AI-powered reply suggestions to engage with your audience.
    name: Monitors
  - name: Organizations
  - name: People
  - description: Organize work into projects for better task management.
    name: Projects
  - description: >-
      Manage automated outreach sequences for email, SMS, and multi-channel
      campaigns.
    name: Sequences
  - description: >-
      Create and manage support tickets, post follow-up messages on tickets, and
      track their status.
    name: Support
  - description: Organize and categorize resources with custom tags.
    name: Tags
  - description: Track API usage, credits, and billing information.
    name: Usage
  - description: Generate AI videos using fal.ai models.
    name: Video
  - description: Manage voice clones and text-to-speech voice options.
    name: Voices
paths:
  /api/v0/monitors/{monitor_id}:
    put:
      tags:
        - Monitors
      summary: Update a monitor's settings.
      description: |-
        Updates the monitor configuration. Only include fields that need to be
        changed - unspecified fields will retain their current values.
      operationId: monitoring_updateMonitor
      parameters:
        - in: path
          name: monitor_id
          required: true
          schema:
            type: string
      requestBody:
        content:
          application/json:
            schema:
              description: >-
                Request body for updating a monitor (include only fields to
                update)
              properties:
                aiFilterEnabled:
                  description: Use AI to filter relevance
                  type: boolean
                filters:
                  description: Platform-specific filters (subreddits, chatgptPrompt, etc.)
                  type: object
                keywords:
                  description: List of keywords to track
                  items:
                    type: string
                  type: array
                name:
                  description: Display name for the monitor
                  type: string
                notifyEmail:
                  description: Send email notifications
                  type: boolean
                notifyInApp:
                  description: Send in-app notifications
                  type: boolean
                notifyUserIds:
                  description: List of user IDs to receive notifications
                  items:
                    type: string
                  type: array
                platforms:
                  description: >-
                    Platforms to monitor: reddit, hackernews, linkedin, x,
                    quora, chatgpt, google_ai
                  items:
                    type: string
                  type: array
                status:
                  description: 'Monitor status: active, paused'
                  type: string
                syncToListId:
                  description: Smart list ID to sync mentions to
                  type: string
              type: object
        description: Fields to update
        required: true
      responses:
        '200':
          content:
            application/json:
              schema:
                description: Monitor update response
                properties:
                  monitor:
                    description: The updated monitor
                    properties:
                      aiFilterEnabled:
                        description: Whether AI relevance filtering is enabled
                        type: boolean
                      companyId:
                        description: Company ID
                        type: string
                      created_date:
                        description: ISO timestamp of creation
                        type: string
                      filters:
                        description: Platform-specific filters
                        type: object
                      id:
                        description: Monitor ID (UUID)
                        type: string
                      keywords:
                        description: Keywords being tracked
                        items:
                          type: string
                        type: array
                      lastRunAt:
                        description: ISO timestamp of last monitor run
                        type: string
                      name:
                        description: Display name
                        type: string
                      notifyEmail:
                        description: Whether email notifications are enabled
                        type: boolean
                      notifyInApp:
                        description: Whether in-app notifications are enabled
                        type: boolean
                      notifyUserIds:
                        description: User IDs receiving notifications
                        items:
                          type: string
                        type: array
                      platforms:
                        description: Platforms being monitored
                        items:
                          type: string
                        type: array
                      status:
                        description: 'Monitor status: active, paused'
                        type: string
                      syncToListId:
                        description: Smart list ID for syncing
                        type: string
                      totalMentionsFound:
                        description: Total mentions discovered by this monitor
                        type: integer
                      updated_date:
                        description: ISO timestamp of last update
                        type: string
                    type: object
                  success:
                    description: Whether update succeeded
                    type: boolean
                type: object
          description: The updated monitor
        '400':
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/Error'
          description: Invalid request parameters
        '401':
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/Error'
          description: Invalid credentials
        '403':
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/Error'
          description: Unauthorized
        '404':
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/Error'
          description: Monitor not found
components:
  schemas:
    Error:
      properties:
        error:
          description: Error message
          type: string
      type: object
  securitySchemes:
    CompanyApiKey:
      description: >-
        Company API key - scoped to a specific company. Generate from the
        Integrations page in your dashboard.
      in: header
      name: X-API-Key
      type: apiKey
    BearerAuth:
      description: >-
        Bearer token authentication. Can use either a Company API Key or a
        Personal Access Key (starting with pak_). Personal Access Keys require
        X-Company-ID header.
      scheme: bearer
      type: http
    CompanyId:
      description: >-
        Required when using Personal Access Keys. Specifies which company to
        access.
      in: header
      name: X-Company-ID
      type: apiKey

````