Q AI — MEV Forensics

Post-trade MEV analysis is a blind spot across DeFi. Q AI Forensics combines historical MEV data with pattern recognition to produce forensic reports that show exactly where value is being extracted -- and how to stop it.

Who It's For

  • DeFi Protocols -- "Your protocol leaked $2.3M in MEV last month. Here's where, how, and what to do about it."
  • DAOs and Treasuries -- "Your swap routing is suboptimal. Here's a path that saves 47% on MEV leakage."
  • Wallets -- "Your users are losing $X per swap on average. Enabling OFA protection would recover 90%."

Capabilities

CapabilityDescription
MEV Leak DetectionIdentify where a protocol's users lose value to MEV extraction
Sandwich ForensicsFull trace of every sandwich attack -- attacker address, profit, victim, pool
Routing AnalysisCompare execution quality across DEX aggregators and routes
Competitor BenchmarkingHow your MEV protection compares to alternatives
Trend ReportsWeekly/monthly MEV trends by chain, protocol, and strategy
Attacker ProfilingIdentify repeat attackers, their strategies, and profit patterns
Arbitrage MappingMap arbitrage paths and quantify value flow across pools
Gas EfficiencyAnalyze gas usage patterns and identify optimization opportunities

Report Types

Protocol Audit

A comprehensive audit of MEV activity affecting a protocol's users:

Protocol: Uniswap V3 (Arbitrum)
Period: February 2026

Total Swaps Analyzed:     142,891
Sandwich Attacks:          3,247 (2.3%)
MEV Extracted:           $2.31M
Avg MEV per Attacked Tx:  $711
Top Attacker:            0x7a3f...8b2c (891 attacks, $634K profit)
Second Attacker:         0x2b1e...4d9a (412 attacks, $293K profit)

By Pool:
  WETH/USDC 0.3%:  1,823 attacks ($1.29M)
  WETH/USDT 0.05%:   891 attacks ($632K)
  ARB/WETH 0.3%:     533 attacks ($388K)

Recommendation:         Route through YoorQuezt OFA
Estimated Savings:      $2.08M/month (90% rebate rate)

Wallet Report

Per-wallet MEV exposure analysis:

Wallet: 0xUser...1234
Period: Last 30 days

Transactions:    47
Protected:       12 (25.5%)
Unprotected:     35 (74.5%)
MEV Lost:        0.84 ETH ($2,520)
Rebates Earned:  0.12 ETH ($360)

Breakdown:
  Sandwich attacks:    0.62 ETH (7 incidents)
  Arbitrage leakage:   0.18 ETH (12 incidents)
  Frontrunning:        0.04 ETH (2 incidents)

If 100% Protected:
  Estimated savings:   0.76 ETH ($2,280)
  Rebate rate:         90%
  Net benefit:         0.68 ETH ($2,052)

API Usage

Via Q AI Chat

You: Generate a forensic report for Uniswap V3 on Arbitrum, last 30 days.
Q:   [Uses analyst_forensics tool]
     Here's your MEV forensic report for Uniswap V3 on Arbitrum...

Via TypeScript SDK

import { QMEVClient } from "@yoorquezt/sdk-mev";

const q = new QMEVClient({
  baseUrl: "https://api.yoorquezt.io",
  apiKey: "pk_partner_xxx",
  role: "analyst",
});

// Protocol audit
const report = await q.chat(
  "Forensic report for 0xUniswapV3Router on arbitrum, last 30 days"
);
console.log(report.content);

// Wallet analysis
const wallet = await q.chat(
  "MEV exposure for wallet 0x1234...5678 on ethereum"
);
console.log(wallet.content);

Via REST API

curl -X POST https://api.yoorquezt.io/api/v1/chat \
  -H "Authorization: Bearer pk_partner_xxx" \
  -H "X-MEV-Role: analyst" \
  -H "Content-Type: application/json" \
  -d '{
    "message": "Forensic report for Uniswap V3 on Ethereum, February 2026"
  }'

Pricing

PlanReports/monthChainsFeaturesPrice
Starter52Protocol audit, wallet report$99/mo
Pro25AllAll reports, API access, trend analysis$299/mo
EnterpriseUnlimitedAllCustom reports, scheduled delivery, raw data exportCustom

Integration Channels

ChannelDescription
Web DashboardInteractive charts, drill-down by pool/attacker/time, export PDF
REST APIJSON reports for automation and integration
Q AI ChatNatural language -- "Q, what MEV did our protocol leak last week?"
Scheduled ReportsWeekly or monthly email digests, Slack/Discord webhooks
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