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Public Mempool Exposure Explainer

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CategorySecurity
PlatformAll
Pricing $4.99/mo
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About this app

WHAT IT DOES

Public Mempool Exposure Explainer is a read-only tool that analyzes public mempool data to assess how visible a transaction is to MEV bots, front-runners, and other observers, generating AI-powered plain-language explanations of exposure risk. It reads pending transaction data in the public mempool, transaction hash, gas price, nonce, target contract, calldata, sender address, pending pool depth, front-running indicators, MEV activity, transaction visibility, block formation patterns, validator behavior, network congestion, recent block data, and transaction propagation time. The tool then presents this data alongside an AI-generated analysis of the exposure risk of a transaction in the public mempool, identifying visibility to MEV bots and front-runners, and recommending mitigation strategies — helping you decide whether your transaction is at risk before you submit or monitor it.

HOW TO USE

Connect your wallet using the BGWallet bridge and select your target network. Enter a transaction hash or pending transaction ID you want to analyze. Optionally enter a target contract address. Click "Analyze exposure" to read public mempool data. The tool displays the transaction ID, sender address, nonce, gas price, pool depth, and exposure risk level (Low/Medium/High). Detailed information includes calldata hash, front-running indicators, MEV activity, transaction visibility, block formation patterns, validator behavior, network congestion, propagation time, and recent block data. A recommended mitigation box provides specific strategy guidance. An AI explanation appears below the on-chain data, analyzing the exposure risk of the transaction in the public mempool, identifying visibility to MEV bots and front-runners, and recommending mitigation strategies (such as private mempool submission or timing adjustments) before you submit or monitor a transaction. The wallet's own signature step still protects you — this explanation is informational only and does not replace reviewing what you approve in your wallet.

TECHNICAL MECHANISM

The tool uses ethers.js v5.7.2 with the provider from the BGWallet bridge to read public mempool and on-chain data. No hardcoded contract addresses are used — you are always in control of which contract you trust. When analyzing public mempool exposure, the tool reads pending transaction data via provider.getPendingTransactions() (or similar mempool access), reads the transaction hash from the user input, reads the gas price from the transaction, reads the nonce from the transaction, reads the target contract from the transaction or user input, reads the calldata from the transaction object, reads the sender address from the transaction, reads the pending pool depth by counting pending transactions, detects front-running indicators by analyzing the mempool for transactions targeting similar contracts with higher gas prices, detects MEV activity by looking for patterns of arbitrage, liquidation, or sandwich transactions, assesses transaction visibility by checking whether the transaction is publicly visible in the mempool, reads block formation patterns from recent blocks, reads validator behavior from block proposer histories, reads network congestion from the pending transaction count and gas price trends, reads recent block data via provider.getBlock(), and estimates transaction propagation time from the transaction's timestamp compared to current block time. The tool fetches event logs by walking backwards in chunks and halving chunk size on failure, ensuring logs are properly read despite varying RPC limitations. The data is formatted and passed to the AI bridge via BGAI.generate() with a structured prompt that includes all the on-chain data read. The AI is instructed to analyze the exposure risk of the transaction in the public mempool, identify visibility to MEV bots and front-runners, and recommend mitigation strategies — while stating plainly that it cannot detect transactions that are only submitted to private mempools, cannot determine whether a transaction will be front-run before inclusion, and cannot guarantee that a transaction will remain confidential even if no immediate front-running is detected. The AI response is capped at 1,024 tokens to ensure concise, focused exposure risk assessments. All computed values are guarded against negative numbers — if a gas price or pool depth appears invalid, the tool flags it rather than displaying nonsensical values.

WHAT IT CANNOT SEE

This tool cannot detect transactions that are only submitted to private mempools. It cannot determine whether a transaction will be front-run before inclusion. It cannot detect all MEV bots monitoring the public mempool. It cannot guarantee that a transaction will remain confidential even if no immediate front-running is detected. The AI explanation is generated from public mempool and on-chain data only and cannot detect private transaction submission, hidden MEV bots, validator collusion, or private mempool activity. It cannot predict whether a front-runner will target a specific transaction before inclusion. The tool does not continuously monitor exposure; each analysis is a snapshot at the time of the lookup. It cannot detect delayed front-running, stale mempool data, or hidden observers. The tool does not store any data persistently; all state is in-memory and resets on reload. The AI explanation is informational and does not constitute financial advice, legal advice, or a guarantee of transaction confidentiality or protection against front-running.

PLEASE NOTE

Public Mempool Exposure Explainer works exclusively with EVM-compatible chains. It requires a Web3 wallet (MetaMask or similar) and the BGWallet bridge. Explanations are AI-generated from data the app reads on-chain — always review what you are actually signing in your wallet before approving it. Public mempool exposure carries significant risk including front-running, sandwich attacks, and MEV extraction. Use this tool as a guide only; always cross-check with independent sources and consider using private mempool solutions for sensitive transactions. This is experimental software; use at your own risk.

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