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38B
Description
Monitors chi-squared distribution fit of on-chain transaction data to detect when protocol activity patterns deviate significantly from expected statistical distributions, flagging potential wash trading, bot manipulation, or coordinated activity campaigns. Applies statistical goodness-of-fit testing to volume distributions, wallet interaction patterns, and timing data to identify when observed activity is inconsistent with genuine organic user behavior models. Delivers weekly statistical anomaly reports as on-chain attestations with chi-squared test results and manipulation probability assessments.