Omenly monitors prediction markets in real time — surfacing unusual volume, coordinated accounts, and suspicious trades that point to insider activity, bringing transparency to markets that have long operated in the dark.
Omenly polls Polymarket, Kalshi, Manifold, and PredictIt every few minutes — ingesting trade data, account activity, and price movement across hundreds of active markets simultaneously.
Multi-signal scoring combines volume spikes, directional surprises, new account clusters, and large trade flags into a composite confidence score — filtering noise from genuine signals.
High-confidence signals surface in your feed instantly, with context, severity ratings, and historical verification — creating a transparent public record of suspicious market activity.
Live stream of market anomalies ranked by severity. Volume spikes, price dislocations, and suspicious account activity — all in one place.
No single indicator triggers an alert. Omenly requires convergence across multiple independent signals, dramatically reducing false positives.
Identifies coordinated entries by new or low-history accounts trading the same direction within a short window — one of the strongest indicators of organized insider activity in prediction markets.
Push high-severity signals to Discord webhooks or email the moment they're detected. Built for researchers, journalists, and analysts who need to stay on top of suspicious activity as it happens.
Every flagged signal is logged and verifiable as markets resolve. Omenly builds a public accountability record — documenting what was detected, when, and whether it proved accurate.
Tune every detection threshold — volume multipliers, price move sensitivity, account cluster windows, and minimum confidence scores — to match your research focus and reporting standards.
Omenly is built for researchers, journalists, and analysts who believe prediction markets should be held accountable. The data is public. The patterns are real. Now they're impossible to ignore.
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