Three models dominate threat intelligence. None of them start where threats actually begin.
Something significant occurs — a protest turns violent, a pipeline is attacked, a border closes. The people who see it are locals. Residents. People with phones. At this moment, every intelligence platform in the world is blind.
The clock starts here. What you see next is how each model performs against it.
We are there before the open source exists.
Crowd Threat is a complementary data layer — not a replacement. Here's how different teams put it to work alongside what they already use.
Already using a threat intelligence platform? Crowd Threat's API sits alongside it as a complementary verified incident layer — covering the ground-level events that scrapers and aggregators miss.
Crowd Signal maps verified incident data directly to live geopolitical prediction markets — providing the information asymmetry layer that public information sources cannot supply.
Crisis management platforms and emergency response teams use the real-time feed to detect and respond to incidents in protected zones — with verified ground-truth rather than social media noise.
Political risk underwriters use Crowd Survey's Stability Vector as a leading indicator for country risk exposure, and Crowd Threat incident data as the evidentiary layer for event-driven claims.
Data science teams and analytical platforms ingest our high-volume, real-time incident stream as training data or input signals for predictive models and situational intelligence tools.
Newsrooms and wire services use Crowd Threat for early detection of breaking incidents in under-reported regions — identifying stories before they surface in any public channel.
Full REST API · Webhook support · JSON / CSV export · Custom field mapping
Request a personalised demo and we'll walk you through the use case most relevant to your team — GSOC monitoring, prediction market alpha, political risk, or API integration.
