EVM Smart Contract Fraud Analytics Platform

Pre-execution analysis of pending transactions to detect signature exploits, reentrancy attempts, and flash loan attacks before they impact your protocol.

Automated scanning for 50+ known vulnerability patterns (e.g., access control flaws, oracle manipulation, logic errors) in both deployed and pending contract interactions.

Identify coordinated attack patterns, wash trading, and Sybil clusters through on-chain behavioral analysis and address graph mapping to prevent governance manipulation.

Monitor for liquidity removal, owner privilege abuse, and token minting events. Receive instant alerts on suspicious treasury movements and contract ownership changes.

Flag transactions associated with sanctioned addresses, mixers (e.g., Tornado Cash), and other high-risk entities to maintain regulatory compliance for institutional clients.

Monitor transactions across 15+ EVM chains with sub-2-second latency. Identify malicious patterns like flash loan attacks, wash trading, and rug pulls before they impact your users.

Our ML-powered classification engine analyzes transaction context and wallet history, dramatically reducing alert fatigue for your security team and focusing efforts on genuine threats.

Generate immutable, tamper-proof audit trails for every flagged transaction. Maintain compliance with evolving regulatory standards (FATF Travel Rule, MiCA) with automated reporting.

Proactively safeguard user funds by blocking high-risk interactions at the wallet or dApp interface level, building trust and reducing customer support burden from fraud incidents.

Leverage clean, structured fraud intelligence to refine tokenomics, adjust fee structures, and design safer DeFi products based on actual on-chain behavior, not assumptions.

Replace manual transaction review and multiple point solutions with a unified platform. Reduce engineering months spent building in-house fraud detection by 80%.

We analyze your smart contract ecosystem, tokenomics, and user flows to identify critical fraud vectors. This phase establishes the detection rules and risk parameters specific to your protocol.

Our team deploys and configures the analytics engine, connects to your EVM RPC endpoints, and integrates real-time data feeds. We handle the infrastructure so your team can focus on core product development.

We build and tune detection algorithms for your specific needs—from flash loan attack patterns and wash trading to governance manipulation and oracle exploits. Rules are deployed as upgradable modules.

We simulate attack scenarios on a forked mainnet environment to validate detection accuracy and minimize false positives. This includes stress testing the alerting system under high-load conditions.

The entire platform and custom rules undergo a final security review. We provide comprehensive documentation, API keys, and training for your engineering and security teams.

Post-launch, we provide continuous monitoring, performance dashboards, and quarterly reviews to adapt rules to new threats and optimize system performance as your protocol scales.