> For the complete documentation index, see [llms.txt](https://luntra.gitbook.io/luntra-infrastructure/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://luntra.gitbook.io/luntra-infrastructure/luntra-mev-radar/technical-implementation.md).

# Technical Implementation

<figure><img src="/files/Km16SRKjlYTrUwkViJkt" alt=""><figcaption></figcaption></figure>

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

#### &#x20;AI-Powered Mempool Analysis

* Using graph neural networks, find coordinated MEV assaults by examining transaction relationship patterns.&#x20;
* Time-Series Models: Monitor pending transactions for temporal trends to forecast sandwich attempts&#x20;
* PyTorch Integration: 94% accurate bot detection using custom-trained models on historical MEV data&#x20;
* 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%.&#x20;
* Automatic Rerouting: Luntra's private relayer immediately reroutes high-risk transactions.&#x20;
* Smart Reordering: In block construction, detrimental MEV attempts are deprioritized, which benefits users.&#x20;
* 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&#x20;
* ChainSage Wallet Integration: Integrated security for all wallet transactions&#x20;
* On-Chain MEV Detection: Prior to execution, smart contracts can query MEV risk scores.&#x20;
* 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)**:&#x20;

* MEV Radar looks for odd grouping around ETH/USDC pairs in the mempool.&#x20;
* Based on comparable historical trends, AI models determine that there is an 87% chance of a sandwich attack.&#x20;
* Coordinated bot behavior targeting Alex-sized trades is exposed by graph neural networks.

**Automatic Protection Activation (0.2 seconds)**:&#x20;

* Rerouting through Luntra's private relayer is instantaneous when the threat score is high.&#x20;
* By avoiding the public mempool, the transaction avoids bot detection.&#x20;
* The best course of action is pre-validated by the smart contract.

**Secure Execution (3 seconds)**:&#x20;

* With no MEV intervention, the trade is executed at the fair market price.
* &#x20;Alex gets all of the anticipated ETH tokens.&#x20;
* 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!