News from 500K+ sources as structured JSON

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Building anything on top of news means the same two weeks of plumbing: crawlers, RSS parsers, dedupe, language detection, then an NLP pass to pull sentiment and named entities out of the text. APITube is that layer as an API.
One endpoint, 65+ filters. GET /v1/news/everything accepts keywords, language, country, source domain, source quality rank, sentiment range, entity IDs, media presence and date ranges in a single call, and returns JSON. Every article already carries sentiment scores, extracted entities (people, organizations, locations, brands, events), IPTC categories, topics and industries โ no post-processing.
The other shapes you would otherwise build yourself. /v1/news/top-headlines for breaking coverage, /v1/news/story for articles clustered around one event, /v1/news/trends for trending values over time buckets, /v1/news/stream for a live Server-Sent Events feed, and /v1/suggest/entities to turn "Tesla" into the entity ID you filter on. Webhooks and WebSocket dispatches push new matches as they are indexed. Exports beyond JSON: JSONL, XML, CSV, RSS, XLSX, Parquet.
Auth and SDKs. One API key, passed as an api_key query parameter, an X-API-Key header or Authorization: Bearer. SDKs for Node.js, PHP and Python. For AI assistants there is a hosted MCP server at https://mcp.apitube.io/ that works in Claude, Cursor and VS Code with no local process to run.
Free tier is 100 requests/day with no card. Paid plans start at $29/month; the MCP server needs a paid plan.
Docs: https://docs.apitube.io
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