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Soumit S Rah
Soumit S Rah

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I Built Beans — A Semantic News & Blogs API & MCP for AI Agents and RAG

☕ After a whole lot of brewing, we are excited to finally launch Beans API & MCP from Project Cafecito.

News APIs are over-priced. Most of them lack vector search capability. Almost all of them lack new propagation timeline and related news finding. Beans is different. We built it to beat market price and designed it for developers working on AI agents.

What is Beans?

It's an aggregation + search service that pulls fresh content from 7,000+ (We are adding new sources every week) news and blog publishers every day. No crawling, no maintenance — just clean, structured data.

Key Features

  • Natural language semantic search — Ask in plain text using vector-powered queries (with tunable accuracy)
  • Intelligent filtering — By category, named entities, geography, content type, source, time range, and more
  • Trend scoring — Surface what's actually gaining traction based on real social shares, likes and comments
  • Built-in AI enrichment — Automatic extraction of entities, sentiment, topics, and regions
  • Story propagation mapping — Automatically connect related articles across publishers to track how narratives spread
  • Clean, consistent JSON output perfect for pipelines

Whether you're building AI agents, RAG systems, market intelligence tools, automation workflows, or smart dashboards — Beans gives you high-quality, enriched news data without the usual headaches.

Current Status

Free Tier v0.1 is now live and open for you to play with. It's still early — expect the brew to get stronger with your feedback.

Create a free API key and get crackin'.

We would love to get your feedback, bug reports, and feature requests. Drop a comment below:

  • What use case would you use this for?
  • What features would make it 10x more useful for your workflow?

Happy building! 🚀

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