AI Scam Risk Detector
Our machine learning engine analyzes wallet behavior patterns, transaction frequency, scam database reports, and fund-flow signatures to generate an evidence-based risk score.
Wallet Risk Analysis
Enter a wallet address to run a full AI-powered risk assessment across 14 behavioral signals.
Based on 14 behavioral signals and pattern matching against 92,000+ flagged wallets.
Risk Signals
📊 Behavioral Analysis Factors
🔴 Suspicious Patterns Detected
📈 Transaction Frequency Analysis
📋 Recommended Actions
How Our AI Risk Engine Works
Pattern Recognition
Our AI was trained on 500,000+ confirmed scam transactions. It detects behavioral fingerprints common to fraud wallets.
14 Behavioral Signals
Transaction frequency, dormancy patterns, fund dispersion, mixer usage, scam DB hits, and more are analyzed simultaneously.
Real-Time Database
Results are cross-referenced against our live database of 92,400+ flagged wallets updated from 12 global scam intelligence feeds.