run_research_task
Run a deep web research task that searches, reads, and synthesizes information. Returns a task ID for polling results.
Instructions
Execute a one-time deep web research task. The research agent searches, reads, and synthesizes information from across the web. Returns a task_id for polling. Example: 'latest AI startup funding announcements'.
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| query | Yes | Natural language description of what to research. Examples: 'What are the latest developments in quantum computing from the past week?', 'Research the competitive landscape for AI code assistants', 'Find pricing information for cloud GPU providers' | |
| user_timezone | No | Timezone for contextual awareness. Example: 'America/New_York'. Default: 'America/Los_Angeles' | |
| user_location | No | Location for contextual awareness. Format: 'city, region, country'. Default: 'San Francisco, CA, US' | |
| output_fields | No | Optional: Extract structured data as an array of objects with these field names. Example: ['title', 'summary', 'source_url']. If omitted, returns human-readable text. For complex schemas, call the Yutori REST API directly (see example at: https://docs.yutori.com/reference/research-create#using-webhooks-and-a-structured-output-schema). | |
| webhook_url | No | HTTPS URL to receive webhook notification when research completes. Must use https://. | |
| webhook_format | No | Webhook payload format: 'scout' (default), 'slack', or 'zapier' |