> ## Documentation Index > Fetch the complete documentation index at: https://docs.parallel.ai/llms.txt > Use this file to discover all available pages before exploring further. # Retrieve Monitor > Retrieve a monitor. Retrieves a specific monitor by `monitor_id`. Returns the monitor configuration including status, cadence, input, and webhook settings. ## OpenAPI ````yaml /docs-legacy-openapi.json get /v1alpha/monitors/{monitor_id} openapi: 3.1.0 info: title: Parallel API description: Parallel API contact: name: Parallel Support url: https://parallel.ai email: support@parallel.ai version: 0.1.2 servers: - url: https://api.parallel.ai description: Parallel API security: - ApiKeyAuth: [] tags: - name: Search (Beta) description: >- Search returns ranked URLs with extended excerpts suitable for LLM consumption. Inputs are a natural-language objective and optional keyword queries. Source policies allow including or excluding specific domains and have configurable output sizes. The returned extended snippets contain dense, relevant information from relevant pages. - Result: ranked list with URL, title, and long text excerpts - name: Extract (Beta) description: >- Extract returns excerpts or full content from one or more URLs. Inputs are a list of URLs and an optional search objective and keyword queries. The returned excerpts or full content is formatted as markdown and suitable for LLM consumption. - Result: excerpts or full content from the URL formatted as markdown - name: Tasks description: >- The Task API executes web research and extraction tasks. Clients submit a natural-language objective with an optional input schema; the service plans retrieval, fetches relevant URLs, and returns outputs that conform to a provided or inferred JSON schema. Supports deep research style queries and can return rich structured JSON outputs. Processors trade-off between cost, latency, and quality. Each processor supports calibrated confidences. - Output metadata: citations, excerpts, reasoning, and confidence per field Task Groups enable batch execution of many independent Task runs with group-level monitoring and failure handling. - Submit hundreds or thousands of Tasks as a single group - Observe group progress and receive results as they complete - Real-time updates via Server-Sent Events (SSE) - Add tasks to an existing group while it is running - Group-level retry and error aggregation - name: FindAll description: >- The FindAll API discovers and evaluates entities that match complex criteria from natural language objectives. Submit a high-level goal and the service automatically generates structured match conditions, discovers relevant candidates, and evaluates each against the criteria. Returns comprehensive results with detailed reasoning, citations, and confidence scores for each match decision. Streaming events and webhooks are supported. - name: Monitor (Alpha) description: >- Legacy Monitor API. New integrations should use the v1 Monitor endpoints under the `Monitor` tag. Define monitoring queries with scheduled cadences (hourly, daily, weekly); the service periodically searches the web, detects changes, deduplicates events, and delivers notifications via webhooks or Slack. - Create, update, and delete monitors with custom output schemas - Retrieve detected events and event groups - Simulate events for testing - name: Memory description: >- The Memory API retrieves and manages memories created by Tasks, Monitors, and FindAll runs. Memories can be personal or isolated with a `memory_scope_key`. - name: Chat API (Beta) description: >- The Chat API provides a programmatic chat-style text generation interface. It accepts a sequence of messages and returns model responses. Intended for assistant-like interactions and evaluation. Streaming responses are supported. - name: Responses API description: >- An OpenAI-Responses-compatible interface for answers grounded in live web research, with URL citations. Point any Responses-API client — the OpenAI Python SDK, OpenAI TypeScript SDK, the Agents SDK, or raw HTTP — at `https://api.parallel.ai` with your Parallel API key, set `model` to `parallel`, and call `/v1/responses`. - `input` accepts a plain string or an array of role/content messages (canonical OpenAI shape; text content only). - `reasoning.effort` (`low`/`medium`/`high`) controls how much research is performed, trading response time for answer quality. - Multi-turn via `previous_response_id`. - Structured outputs via `text.format = {"type": "json_schema", "name": ..., "schema": {...}}`. - Streaming (`stream=true`) emits the standard OpenAI Responses SSE lifecycle: `response.created` and `response.in_progress`, then output item / content part / text delta events with URL-citation annotations, the matching `*.done` events, and a terminal `response.completed` — or `response.failed` if the request fails mid-stream. - name: Tasks (Beta) description: Tasks (Beta) paths: /v1alpha/monitors/{monitor_id}: get: tags: - Monitor (Alpha) summary: Retrieve Monitor description: |- Retrieve a monitor. Retrieves a specific monitor by `monitor_id`. Returns the monitor configuration including status, cadence, input, and webhook settings. operationId: retrieve_monitor_v1alpha_monitors__monitor_id__get parameters: - name: monitor_id in: path required: true schema: type: string title: Monitor Id responses: '200': description: Successful Response content: application/json: schema: $ref: '#/components/schemas/V0MonitorResponse' example: monitor_id: monitor_b0079f70195e4258a3b982c1b6d8bd3a query: Extract recent news about AI status: active frequency: 1d metadata: key: value webhook: url: https://example.com/webhook event_types: - monitor.event.detected created_at: '2025-04-23T20:21:48.037943Z' '401': description: 'Unauthorized: invalid or missing credentials' content: application/json: example: type: error error: ref_id: fcb2b4f3-c75e-4186-87bc-caa1a8381331 message: 'Unauthorized: invalid or missing credentials' schema: $ref: '#/components/schemas/ErrorResponse' '404': description: Schedule not found content: application/json: example: type: error error: ref_id: fcb2b4f3-c75e-4186-87bc-caa1a8381331 message: Schedule not found schema: $ref: '#/components/schemas/ErrorResponse' '422': description: Request validation error content: application/json: example: type: error error: ref_id: fcb2b4f3-c75e-4186-87bc-caa1a8381331 message: Request validation error schema: $ref: '#/components/schemas/ErrorResponse' components: schemas: V0MonitorResponse: properties: monitor_id: type: string title: Monitor ID description: ID of the monitor. query: type: string title: Query description: The query being monitored. examples: - Recent news about LLM models. status: type: string enum: - active - canceled title: Status description: Status of the monitor. examples: - active - canceled cadence: anyOf: - type: string enum: - daily - weekly - hourly - every_two_weeks - type: 'null' title: Cadence description: 'Deprecated: use ''frequency'' field instead.' deprecated: true examples: - daily - weekly - hourly - every_two_weeks frequency: type: string title: Frequency description: >- Frequency of the monitor. Format: '' where unit is 'h' (hours), 'd' (days), or 'w' (weeks). Must be between 1h and 30d (inclusive). examples: - 1d - 1w - 1h - 2w metadata: anyOf: - additionalProperties: type: string type: object - type: 'null' title: Metadata description: >- User-provided metadata stored with the monitor. Returned in webhook notifications and GET requests, enabling you to map responses to corresponding objects in your application. examples: - slack_thread_id: '1234567890.123456' user_id: U123ABC webhook: anyOf: - $ref: '#/components/schemas/MonitorWebhook' - type: 'null' description: Webhook configuration for the monitor. output_schema: anyOf: - $ref: '#/components/schemas/JsonSchema' - type: 'null' description: Output schema for the monitor event. source_policy: anyOf: - $ref: '#/components/schemas/SourcePolicy' - type: 'null' description: >- Source policy governing preferred and disallowed domains in web search results. examples: - exclude_domains: - reddit.com - x.com - .ai include_domains: - wikipedia.org - usa.gov - .edu created_at: type: string format: date-time title: Created At description: Timestamp of the creation of the monitor. examples: - '2025-01-15T10:30:00Z' last_run_at: anyOf: - type: string - type: 'null' title: Last Run At description: Timestamp of the last run for the monitor. examples: - '2025-01-15T10:30:00Z' include_backfill: anyOf: - type: boolean - type: 'null' title: Include Backfill description: >- If true, the first execution includes historical events matching the query. Subsequent executions return only new events since the previous run. type: object required: - monitor_id - query - status - frequency - created_at title: V0MonitorResponse description: >- Response object for a monitor, including its status, cadence and metadata. ErrorResponse: properties: type: type: string const: error title: Type description: Always 'error'. error: $ref: '#/components/schemas/Error' description: Error. type: object required: - type - error title: ErrorResponse description: Response object used for non-200 status codes. MonitorWebhook: properties: url: type: string title: Url description: URL for the webhook. examples: - https://example.com/webhook event_types: items: type: string enum: - monitor.event.detected - monitor.execution.completed - monitor.execution.failed type: array title: Event Types description: Event types to send the webhook notifications for. type: object required: - url title: MonitorWebhook description: Webhook configuration for a monitor. JsonSchema: properties: json_schema: additionalProperties: true type: object title: Json Schema description: A JSON Schema object. Only a subset of JSON Schema is supported. examples: - additionalProperties: false properties: gdp: description: >- GDP in USD for the year, formatted like '$3.1 trillion (2023)' type: string required: - gdp type: object type: type: string const: json title: Type description: The type of schema being defined. Always `json`. default: json type: object required: - json_schema title: JsonSchema description: JSON schema for a task input or output. SourcePolicy: properties: include_domains: items: type: string type: array title: Include Domains description: >- List of domains to restrict the results to. If specified, only sources from these domains will be included. Accepts plain domains (e.g., example.com, subdomain.example.gov) or bare domain extension starting with a period (e.g., .gov, .edu, .co.uk). The combined number of domains in include_domains and exclude_domains cannot exceed 200. examples: - - wikipedia.org - usa.gov - .edu exclude_domains: items: type: string type: array title: Exclude Domains description: >- List of domains to exclude from results. If specified, sources from these domains will be excluded. Accepts plain domains (e.g., example.com, subdomain.example.gov) or bare domain extension starting with a period (e.g., .gov, .edu, .co.uk). The combined number of domains in include_domains and exclude_domains cannot exceed 200. examples: - - reddit.com - x.com - .ai after_date: anyOf: - type: string format: date - type: 'null' title: After Date description: >- Optional start date for filtering search results. Results will be limited to content published on or after this date. Provided as an RFC 3339 date string (YYYY-MM-DD). examples: - '2024-01-01' type: object title: SourcePolicy description: |- Source policy for web search results. This policy governs which sources are allowed/disallowed in results. Error: properties: ref_id: type: string title: Reference ID description: Reference ID for the error. message: type: string title: Message description: Human-readable message. detail: anyOf: - additionalProperties: true type: object - type: 'null' title: Detail description: Optional detail supporting the error. type: object required: - ref_id - message title: Error description: An error message. securitySchemes: ApiKeyAuth: type: apiKey in: header name: x-api-key ````