Rug Pull Detector: Liquidity & Holder Risk Scoring

This simulator models a token/stablecoin liquidity pool as a constant-product AMM and renders it as two live reserve tanks surrounded by a ring of holder wallets. Adjust top-wallet concentration and liquidity-lock status, then trigger a simulated rug pull to watch the deployer withdraw their share of liquidity and dump their token balance into the thinned pool — crashing the price exactly as the underlying AMM math predicts. A real-time detector combines concentration, lock status and reserve-outflow velocity into a single risk score and raises an alarm once it crosses your chosen threshold, the same class of heuristic used by on-chain monitoring tools to warn holders before a drain finishes rather than after.