40.7128° N · 74.0060° W · NEW YORK1 photo attached✓ GeotaggedSubmit reportVerified, timestamped, geolocated incident data from vetted local reporters. Live the moment it's reported, then AI-triaged and human-verified.
AI runs on data. data comes from humans. we're building the human layer
people are still the best sensors
The only reason it hasn't worked this way before: nobody built the infrastructure to do three hard things at once.
Someone in the city is more likely to be in the local WhatsApp group where the first message was sent, or the neighbourhood Facebook group where someone posted before the mainstream feeds caught it.
A platform scanning the open internet sits on the outer ring. It is, by design, waiting for someone else to publish first.
Every product is powered by the same asset: a global network of vetted local reporters submitting verified incidents the moment they occur. The same data feeds Crowd Threat, Crowd Survey, and Crowd Signal, each calibrated for a different analytical need.
Real-time verified incident data
A global network of local reporters submits verified, timestamped incidents before they surface on open-source channels. Delivered via platform dashboard or REST API.
30-day forward stability forecasting
Crowd Survey's Stability Vector aggregates 7 leading indicators (security sentiment, governance confidence, economic stress, protest likelihood and more) to produce a weekly forward stability score for every country we cover.
Event data for prediction markets
Crowd Signal maps every verified incident to live prediction market legs, surfacing the alpha window before the information reaches open-source channels. Includes probability bars, 24-hour deltas, and structured callouts.
On top of the data, our analysts and reporters can monitor, cover events and put a bounty on coverage wherever you need eyes on the ground.
Explore monitoringAll three products are built on the same verified incident data. Subscribe to Crowd Threat, Crowd Survey, or Crowd Signal, or combine them for the full data stack.
Book a demoNo reports to read, no analyst opinion to filter. Each incident arrives as a clean, consistent record your systems can use straight away.
{ "id": "RPT-7741-LBN-077", "reported_at": "2026-09-01T11:23:07Z", "location": { "lat": 33.8871, "lon": 35.5012, "country": "LB" }, "category": "security_conflict", "status": "verified", "confidence": 0.88, "source": "local_reporter", "media_attached": true, "verification": [ { "step": "live_unverified", "at": "11:23:07Z" }, { "step": "ai_triage", "checks": "5/5" }, { "step": "analyst_verified" } ] }
Crowd Threatwire is our Discord server, open to anyone interested in OSINT. Try geolocation and verification challenges, swap tools and techniques, and see what our global reporter network is seeing.
Some areas are closed: regional channels, bounties and the Reporter Network are only open to verified Crowd Threat reporters. Sign up as a reporter to unlock them.
Unlocked once your Crowd Threat reporter account is verified.
Our crowd isn't a database or an algorithm. It's a global network of real people, vetted and financially accountable, submitting verified incidents from the communities where they live. When something happens, they're already there.
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.
Join our open OSINT community.
Open to anyone interested in OSINT. Some areas are reserved for verified Crowd Threat reporters.
