AnnotateIQ
Payment risk annotation engine
Annotate payment risk at inspectable grade
A multi-agent system that annotates payment events so teams can train better fraud and decision models. Four specialists score transaction, behavior, device, and merchant signals. Fraud reasoning proposes a label; an adjudicator marks AGREED or DISPUTED. Low-confidence or disputed events go to humans. Synthetic or public-shaped data only — not Razorpay production transactions.
k=3 fraud reasoningadjudicator-gatedheld-out P/R + FP costhoneypot-verifiedweakest-link scoring
Pipeline
Normalize payment event
4 specialists in parallel
Ring analyst · job graph
Failure jobs · reason + retry
Fraud reasoning · k=3
Adjudicator · AGREED/DISPUTED
Confidence ≥ 0.85 → auto
Checking system health...
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