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AI fraud prevention
An AI genuineness layer scores how real each referral looks — velocity, device and network signals, and behavioral patterns — and holds or rejects the suspicious ones before a reward is ever sent.
Genuineness score
Every referral gets a 0–100 score so you can auto-approve the obvious, review the unsure, and block the fake.
Caps & hold windows
Per-referrer and per-campaign caps, plus configurable hold windows, give you control without manual policing.
A review queue
Flagged payouts land in a queue with the reasons attached — approve or reject in one click.
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