Amazon Review Checker

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Analyzes Amazon product reviews to detect fake feedback, suspicious patterns, and rating manipulation without requiring external API keys.

Amazon Review Checker is an e-commerce intelligence skill that evaluates review authenticity and identifies review manipulation across Amazon listings. Using statistical modeling, n-gram similarity, burst detection, and Chi-square distribution tests, it scores reviews on a 0-100 authenticity scale across multi-tiered risk levels. The skill features a progressive L1-L4 analysis depth that adapts automatically based on available data—from basic text similarity to advanced verified purchase and temporal clustering validation—making it an essential tool for Amazon sellers, aggregators, and product researchers.

Características Principales

01Statistical rating distribution validation against natural category benchmarks
02Content similarity and templated review identification via N-gram and Jaccard metrics
03798 GitHub stars
04Time clustering and review burst detection using sliding window algorithms
05Progressive L1-L4 depth analysis that dynamically scales based on provided review metadata
06Comprehensive 0-100 authenticity score with risk level categorization from low to critical

Casos de Uso

01Evaluating supplier product feedback before committing to wholesale or private label inventory
02Auditing competitor Amazon listings during product research to uncover artificial review inflation
03Monitoring your own product catalog to detect coordinated negative review attacks or hijacked listings