SentinelX combines static code analysis, machine learning classification, and explainable AI in one platform. Features include honeypot detection (sell-side restrictions and blacklist mechanisms), ownership and privilege analysis, hidden mint identification, composite risk scoring from 0–100, and full SHAP feature attribution for every prediction.
The XGBoost classifier is trained on a labeled dataset of 2,400+ smart contracts and achieves 96.15% accuracy on rug-pull classification using 53 extracted feature signals. Watchlists, alerts, scan history, and a REST API with SDK integration cover the monitoring and integration workflow.
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SentinelX provides automated security analysis for informational purposes only. Results are not financial advice or guarantees of safety.