Assessment agent

Blockchain Transaction Risk Monitor and Personality based on Transaction History

A sophisticated blockchain transaction monitoring system that uses AI, machine learning, and The Graph protocol to detect scams, fraudulent patterns, and potential security risks.

Features 🔍 Transaction Analysis Real-time transaction monitoring Multi-chain support (Ethereum, Polygon, BSC, etc.) DEX transaction tracking Historical transaction analysis 🛡️ Security Features AI-powered scam detection Pattern recognition for sophisticated attacks Risk level assessment Real-time security alerts 🤖 Machine Learning Capabilities Flash loan attack detection Front-running pattern recognition Sandwich attack identification Pump and dump scheme detection Rug pull early warning system 📊 Trading Profile Analysis Trading behavior patterns Risk profile assessment Transaction frequency analysis Preferred DEX tracking 🕸️ The Graph Protocol Integration (In Progress) Decentralized indexing of scam reports Pattern detection and storage Community-driven scam reporting Evidence submission and verification Reputation system for reporters Historical pattern analysis

Tech Stack Frontend: Next.js, React, TypeScript UI Components: shadcn/ui Blockchain Data: Covalent API The Graph Protocol Smart Contracts: Solidity AI/ML: OpenAI GPT-3.5 Authentication: Web3 Wallet Connect Styling: Tailwind CSS

This project uses Typescript, Next Js 14 with App router, Shad CN, Tailwind CSS, @covalenthq/ai-agent-sdk, @covalenthq/client-sdk, @rainbow-me/rainbowkit, hardhat, graphprotocol. Open AI GPT-3.5 for sophisticated pattern analysis and natural language insights.

A lot of scams are getting sophisticated day by day so this project should help our community to analyse, detect and community report them.