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AI Powered DeFi Yield Optimizer

This app teaches you how to integrate the Aerodrome Swap API with an AI model to create a personalized DeFi yield optimizer and analytics dashboard for Aerodrome.

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Frontend Framework/Library:
React
Language:
TypeScript
Build Tool/Development Server:
Aerodrome Swap API

Overview

This project is an AI-powered DeFi yield farming optimizer that helps users build personalized portfolio strategies across Aerodrome Finance pools on Base network.

This example app is provided for educational and demonstration purposes only. Use at your own risk.


tip

Learn how to build the AI Powered DeFi Yield Optimizer on Base in our technical guide here.

Prerequisites​

  1. Anthropic Claude API:

  2. QuickNode Account:

Quick Start​

1. Clone the Repository​

git clone https://github.com/quiknode-labs/qn-guide-examples.git
cd qn-guide-examples/sample-dapps/ai-powered-defi-yield-optimizer

2. Install Dependencies​

pnpm install
# or
npm install

3. Environment Configuration​

cp .env.example .env

Edit .env:

# Required for AI optimization
ANTHROPIC_API_KEY=your_claude_api_key_here

# Required for live Aerodrome data
NEXT_PUBLIC_QUICKNODE_ENDPOINT=https://your-quicknode-endpoint.com/your-api-key/

4. Run Development Server​

pnpm dev
# or
npm run dev

Visit http://localhost:3000 to see the application.

Architecture​

System Overview​

┌─────────────────┐    ┌──────────────────┐    ┌─────────────────┐
│   User Input    │    │   AI Processing  │    │  Pool Data API  │
│                 │    │                  │    │                 │
│ • Risk Quiz     │───▶│  Claude AI API   │◀───│ QuickNode API   │
│ • Preferences   │    │  • Analysis      │    │ • Live Pools    │
│ • Investment $  │    │  • Optimization  │    │ • Token Data    │
└─────────────────┘    │  • Reasoning     │    │ • Verification  │
                       └──────────────────┘    └─────────────────┘
                                │
                                ▼
                       ┌──────────────────────┐
                       │ Optimized Strategy   │
                       │                      │
                       │ • Pool Selection     │
                       │ • Allocations        │
                       │ • Risk Scores        │
                       │ • Reasoning          │
                       └──────────────────────┘

Deploy on Vercel

Deploy with Vercel

Preview

Contributions & Feedback
We'd love to hear your feedback and welcome any contributions to this sample app!
To report issues or share feedback, open a GitHub issue in the qn-guide-examples repository.
To contribute, follow these steps:
  1. Fork the repository
  2. Create a feature branch:
    git checkout -b feature/amazing-feature
  3. Commit your changes:
    git commit -m "Add amazing feature"
  4. Push your branch:
    git push origin feature/amazing-feature
  5. Open a Pull Request.
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