Quant72

Demo

About

The problem it solves Blockchain tools are often **fragmented**, requiring users to interact with multiple dApps, write code, or understand complex UIs to manage wallets, trade tokens, or analyze on-chain data. This creates a high entry barrier for non-technical users. **Our chatbot solves this problem by providing a unified, conversational interface to interact with blockchain networks.** It integrates wallet management, DeFi protocol access, token analysis, smart contract interaction, and even trading strategy backtesting — all within a single AI assistant. By supporting Base, BSC, and others, it lowers the learning curve and empowers users to: - Send tokens and request testnet funds - Analyze token prices and liquidity - Query holders and historical trades - Mint NFTs or interact with DeFi protocols This is especially powerful for new Web3 users who can now access blockchain capabilities by simply chatting with the agent.

How it's made

Challenges we ran into ### 1. **Tool Coordination Across Chains** → Solution: Abstracted chain-specific logic and used a tool registry to dynamically route requests based on network. 2. **Chat Interface + On-chain Actions** → Solution: Built a backend pipeline using vercel + custom tools that manage on-chain execution, API calls, and data caching. 3. **Strategy Backtesting and Visualization** → Solution: Used Python backend to compute indicators (RSI, MACD), store data, and render charts with K-line overlays. 4. **Smart Wallet Integration (Base)** → Solution: Integrated Base Smart Wallets for seamless onboarding. Used Coinbase AgentKit to reduce wallet setup friction. 5. **Security of Private Keys in Agent Context** → Solution: Leveraged serverless functions and encrypted storage; added safety checks before performing transactions.