Real-time AI trends news, structured for developers. NewsMesh surfaces AI trends coverage from outlets across 35 countries and serves it as clean JSON, each story tagged with its category, the countries it's relevant to, and the named people detected in the body. Pull it with full-text search (GET /v1/search?q=) and layer category, country, or date filters on top, no scraping required.
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NewsMesh surfaces AI trends coverage from sources across 35 countries, normalised into one structured feed you can query by keyword, category, country, and date.
Authenticate with your apiKey and call one endpoint (GET api.newsmesh.co/v1/search?q=AI+trends). The examples below are ready to copy.
curl "https://api.newsmesh.co/v1/search?apiKey=nm_xxx&q=AI+trends&limit=20"GET /v1/latest: Most-recent articles, filterable by category, country, and date range.GET /v1/search: Full-text search across the archive with boolean operators and source filters.GET /v1/trending: Cached trending headlines, the fastest endpoint for homepage feeds.GET /v1/article/{id}: Fetch a single article and its full metadata by ID.Call GET /v1/search?q=AI trends with your apiKey to return recent AI trends stories as structured JSON. Add &category= or &country= to narrow the results.
Every AI trends article carries its category, the countries it's relevant to, and the named people detected in the body, so you can route and filter without your own NLP layer.
Yes. Add &category=technology (or business, politics, and more) and &country=us (or any ISO country code) to the search query to focus the feed.
Yes. NewsMesh is a real-time news API: AI trends stories are served through the live /v1/latest and /v1/trending endpoints alongside a searchable archive, each tagged with its category, the countries it's relevant to, and the named people detected in the body, so you can build a live feed without scraping HTML.
Create a NewsMesh account, generate an API key, and call the endpoint above with your apiKey parameter. See the pricing page for current plans and rate limits.
Access the full dataset programmatically with the NewsMesh API.