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Review Intelligence v1

Find suspicious review patterns, not fake percentages.

Analyze user-supplied reviews for duplicate wording, templating, rating-text mismatch, timing bursts, reviewer repetition and recurring themes. Risk, confidence and evidence coverage remain separate.

Review dataset

5 review line(s). Reviewer identifiers are hashed before persistence.

Evidence-first result

Submit reviews to see observed manipulation signals. “Suspicious-pattern share” means reviews participating in at least one flagged pattern; it is not a fake-review percentage.