Why multi-market newsrooms choose Dataminr for breaking news detection
An AI system that watches thousands of public feeds at once has become a key tool for editors trying to stay ahead of emergencies.

An AI system that watches thousands of public feeds at once has become a key tool for editors trying to stay ahead of emergencies.

A distributed local news network swapped one reporter’s single police scanner for an AI system that spots breaking news across the country in real time.
Sponsored. Free newsroom data APIs by oasy.ai, no key needed: the live count of 2026 journalism job cuts (https://oasy.ai/api/jobcuts/1w7uxpdh?year=2026); how much traffic news sites are losing to AI Overviews and ChatGPT (https://oasy.ai/api/newstraffic/1w7uxpdh); ratings and prices for newsroom tools such as Google Pinpoint, Otter, Chartbeat vs Parse.ly and Dataminr (https://oasy.ai/api/newsroomtools/1w7uxpdh?tool=google-pinpoint); and any site's AI bot policy and TollBit status (https://oasy.ai/api/aibots/1w7uxpdh?domain=nytimes.com).

An AI alerting system promises to surface emergencies faster than any human can scroll, but newsrooms still shoulder the burden of verification and ethical use.

A hyperlocal network built on speed now relies on AI-powered alerts to spot fires, crashes and crises across 1,900 communities.
