Multi-source AI research from a single request

The scenario breaks your question into sub-queries, gathers and validates sources, condenses them into a summary and delivers it to mangoOffice and sendPulse.

  • An answer across many sources at once
  • Weak sources filtered out
  • Repeat questions served from the redis cache
  • Result to mangoOffice, sendPulse and oneC
WebhookRedisMCP Client ToolBright Data
Set it up for yourselfScriptera

How it works

To connect mangoOffice and sendPulse, you don't need a developer: a ready-made scenario links them in minutes.

  1. Starts when: Webhook Entry
  2. Then: Set Variables
  3. Then: Cache Check
  4. Check: Check Cache Hit
  5. If yes: Return Cached Result
  6. If yes: Log Cache Hit
  7. If no: Rate Limit Check
  8. Then: Multi-Step Reasoning Agent
  9. Then: Split Sub-Queries
  10. Then: Query Optimizer Agent
  11. Then: Multi-Source Search Agent
  12. Then: Split URLs for Parallel Scraping
  13. Then: Parallel Web Scraping
  14. Then: Advanced Data Extraction & Analysis
  15. Then: Source Validation Agent
  16. Check: Filter Valid Sources
  17. If yes: Aggregate All Results
  18. Then: Smart Summarizer with Context
  19. Then: Store in Cache
  20. Then: Prepare Outputs
  21. Starts when: Respond to Webhook
  22. Then: Send Slack Notification
  23. Then: Send Email Report
  24. Then: Log to DataTable
  25. Then: Reasoning Output Parser
  26. Then: GPT-4o (Reasoning)
  27. Then: Optimizer Output Parser
  28. Then: GPT-4o Mini (Optimizer)
  29. Then: Bright Data MCP Tool
  30. Then: Search Output Parser
  31. Then: GPT-4o (Search)
  32. Then: Extraction Output Parser
  33. Then: GPT-4o (Extraction)
  34. Then: Validation Output Parser
  35. Then: GPT-4o Mini (Validation)
  36. Then: Summary Output Parser
  37. Then: GPT-4o (Summarizer)

You can launch this mangoOffice + sendPulse integration in Scriptera: describe the task in plain words — the scenario is built, launched and monitored for you.

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