Technical Implementation

Luntra's MEV Radar revolutionizes blockchain protection through intelligent, real-time defense:

AI-Powered Mempool Analysis

• Using graph neural networks, find coordinated MEV assaults by examining transaction relationship patterns.

• Time-Series Models: Monitor pending transactions for temporal trends to forecast sandwich attempts

• PyTorch Integration: 94% accurate bot detection using custom-trained models on historical MEV data

• Continuous mempool monitoring with sub-second threat assessment is known as real-time scanning.

Dynamic Protection Mechanisms

• AI uses probability scoring to give each cluster of pending transactions a threat rating between 0% and 100%.

• Automatic Rerouting: Luntra's private relayer immediately reroutes high-risk transactions.

• Smart Reordering: In block construction, detrimental MEV attempts are deprioritized, which benefits users.

• Gas Refund System: Automatic gas compensation for impacted users is triggered by detected MEV incidents.

Integrated Chain-Level Defense

• Integrated Security: No need for manual opt-ins or external RPC services

• ChainSage Wallet Integration: Integrated security for all wallet transactions

• On-Chain MEV Detection: Prior to execution, smart contracts can query MEV risk scores.

• Private Relayer Network: Specific infrastructure for submitting transactions in a secure manner

---

Success Scenario Example

Let's see how Alex's trading experience transforms with Luntra MEV Radar:

Alex initiates the same $10,000 USDC to ETH swap, but now on Luntra:

Pre-Transaction Analysis (0.1 seconds):

• MEV Radar looks for odd grouping around ETH/USDC pairs in the mempool.

• Based on comparable historical trends, AI models determine that there is an 87% chance of a sandwich attack.

• Coordinated bot behavior targeting Alex-sized trades is exposed by graph neural networks.

Automatic Protection Activation (0.2 seconds):

• Rerouting through Luntra's private relayer is instantaneous when the threat score is high.

• By avoiding the public mempool, the transaction avoids bot detection.

• The best course of action is pre-validated by the smart contract.

Secure Execution (3 seconds):

• With no MEV intervention, the trade is executed at the fair market price.

• Alex gets all of the anticipated ETH tokens.

• A successful MEV prevention event is recorded by the system.

Result: Alex earns an extra 0.08 ETH, pays regular gas fees, and saves $350 that would have been forfeited to MEV. There was no need for configuration because the entire protection process was autonomous and invisible!