Front-Running Bot Detection Algorithms

Continuous monitoring of the mempool with sub-second latency to detect anomalous transaction patterns and pending front-running attempts before they execute.

Combines deterministic heuristics with machine learning models trained on billions of historical transactions to identify sophisticated, evolving bot strategies.

Safely simulates pending transactions in an isolated environment to predict and flag potential MEV extraction and sandwich attacks before they impact the live network.

Granular, protocol-specific rule sets allow you to define thresholds for gas price spikes, slippage, and transaction ordering to trigger automated alerts or protective actions.

Our detection logic and infrastructure undergo regular third-party security audits. We adhere to best practices for data handling and provide compliance-ready reporting.

Detect and block malicious MEV bots in real-time, preventing sandwich attacks and front-running before they impact your users' transactions.

Protect your users from value extraction, leading to higher transaction success rates and increased protocol loyalty. Users transact with confidence.

Redirect extracted value from bots back to your protocol's treasury or legitimate users, creating a fairer and more sustainable economic model.

Gain full visibility into MEV activity with detailed logs and reports. Essential for security audits, regulatory inquiries, and protocol governance.

Deploy our detection layer via API or node-level integration. Built to scale with your protocol's volume across EVM chains and L2s.

We analyze your protocol's unique attack surface—liquidity pools, AMM mechanics, order flows—to architect a detection system tailored to your specific vulnerabilities and transaction patterns.

Our engineers build and fine-tune detection algorithms (e.g., MEV bundle analysis, gas price heuristics, time-of-check/time-of-execution logic) using historical and simulated attack data.

We deploy the system in a forked mainnet environment, stress-testing against known attack vectors and proprietary MEV scenarios to validate detection accuracy and system resilience.

We handle the full integration with your node infrastructure (Geth, Erigon) or mempool services, providing a real-time alert dashboard and ongoing performance monitoring.