Protect your incentives budget from self-referrals, wash trading and bot activity with Fuul's built-in sybil resistance
Our system analyzes onchain behavior, referral patterns and wallet clusters to ensure only legitimate user earn rewards while suspicious activity is filtered out automatically
With behavioral clustering, self-referral detection and payout controls, projects can run incentive incentive programs that stay fair, efficient and protected at scale
Prevent self-referrals and multi-account abuse across your incentive programs
Fuul detects linked accounts using device signals, IP patterns, and behavioral analysis to filter out illegitimate rewards
.png)

Filter wash trading and bot-driven activity from your incentive programs
Fuul analyzes onchain behavior and usage patterns to ensure only real user activity is rewarded