The surveillance layer for the on-chain era.
Continuous real-time blockchain monitoring powered by machine learning. Uncover threat patterns, prevent rug pulls, and block money laundering before they cost your platform.
One platform to detect, analyse, and prevent crypto fraud.
Real-Time On-Chain Monitoring
Continuous surveillance across major blockchains. The system flags anomalous transaction spikes, rapid liquidity shifts, and malicious address interactions as they happen — not the morning after.
Fraud Pattern Analysis
Machine-learning models trained on the blockchain's critical fraud vectors: rug pull parameters, systematic wash trading, drainer kits, and multi-hop money-laundering typologies.
Risk Scoring & Alerts
Dynamic address and token risk scores with configurable alerting. Know who you're transacting with before the funds move.
Why wait for the hack to start tracing?
| Legacy Forensic Analysis (Post-Exploit) | Fraudalysis Real-Time Surveillance (Pre-Exploit) |
|---|---|
| Traces where stolen funds went after the protocol is drained. | Identifies preparation vectors before the attack is executed. |
| Relies on static blacklists that scammers easily rotate. | Uses behavioural machine learning to detect intent patterns. |
| Waits for analysts to compile investigation reports. | Delivers automated alerts via webhooks and API. |
| Reactive recovery and damage control. | Active prevention and capital preservation. |
Take command of your on-chain risk today.
Join the platforms transitioning from reactive forensics to real-time machine-learning prevention.
Request a Free Demo