Best Web3 Rug Pull Detection Tools in 2026 — Ranked & Compared
Best Web3 Rug Pull Detection Tools in 2026 — ChainAware.ai vs GoPlus Security vs Token Sniffer vs De.Fi Scanner vs RugCheck.xyz vs Webacy vs QuillCheck. Rug pulls cost investors $3 billion annually. PancakeSwap: 95% of pools end in rug pulls. Pump.fun: 99% of tokens extract money from buyers. GoPlus Q4 2024: 67,241 honeypot tokens detected. Solidus Labs: 188,000+ suspected scam tokens on ETH+BNB in 2022. Seven tools compared across two axes: detection method (contract code vs. behavioral history) and signal timing (reactive vs. predictive). ChainAware.ai: only tool analyzing behavioral Trust Score of contract creator + all LP providers — not contract code. 98% fraud accuracy, backtested on CryptoScamDB, ETH/BNB/BASE/HAQQ. Catches professional operators with clean code — the category all other tools miss. GoPlus Security: dominant rules-based contract scanner, 30+ chains, integrated into DEXScreener/Sushi/Uniswap, open permissionless API. Token Sniffer: pattern matching + contract clone detection + honeypot simulation, 0-100 risk score, strongest on copy-paste scam code. De.Fi Scanner (DeFiYield): multi-asset contract analysis across tokens + NFTs + liquidity positions, 10+ chains, PDF reports. RugCheck.xyz: Solana-native, “Solana traffic light,” insider network detection (beta). Webacy: predictive ML on Base using GBDT/XGBoost/LightGBM, Solidity code forensics + holder analytics, November 2025 CTO technical blog. QuillCheck by QuillAI: 25+ parameters, 24/7 monitoring, real-time Telegram/Twitter alerts, API for launchpads/DEX. Three-check stack: GoPlus (contract) + ChainAware (creator behavioral history) + QuillCheck (ongoing monitoring). ChainAware Prediction MCP · 18M+ Web3 Personas · chainaware.ai