Project Cafecito / Beans
Beans is a live news and blog aggregation API for developers, AI agents, RAG pipelines, research tools, and dashboards. Use semantic search, structured filters, and JSON or MCP responses to find relevant source content without building a publisher-crawling pipeline.
Use the API when your product needs current source material and controlled retrieval.
Fresh content from over 7,000 news and blog publishers, updated daily. We handle the full aggregation pipeline so you get clean, structured data without any crawling or maintenance overhead.
Natural language vector-based semantic search with tunable accuracy. Go beyond keywords — ask questions in plain text and pull deeply relevant articles from thousands of sources. Ideal for powering AI agents, RAG systems, and intelligent automation workflows.
Rich, multi-dimensional filtering by categories, named entities, geographic regions, content types, sources, and time ranges. Designed for precise control while remaining simple to use in real AI and analytics workflows.
Every article is automatically scored and ranked based on real social engagement signals. Surface what’s actually gaining traction instead of just the most recent content.
Automatic extraction of named entities, sentiment, topics, and regions for every article. Ready for analytics dashboards, AI agents, and downstream pipelines — no extra processing layers required.
Automatically links related articles across thousands of publishers. Track how stories spread from niche sources to mainstream outlets and observe narrative shifts in real time.
The supported Beans offering is live API and MCP access.
Full endpoint reference, authentication, filtering, and examples for integrating Beans into an app, RAG pipeline, or agent. Read the Beans API documentation.
The live Beans News App lets you search, filter, and explore news and blog trends in the browser. Open the Beans News App.