yield-analysis-sdk 0.2.0

A Python SDK for analyzing DeFi vault performance and yield metrics

Yield Analysis SDK

A Python SDK for DeFi vault registration and yield analysis services within the Agent Commerce Protocol (ACP) ecosystem.

🚀 Features

• ACP Integration: Built-in support for Virtuals ACP (Agent Commerce Protocol)
• Vault Registration: Complete workflow for registering DeFi vaults in the ACP ecosystem
• Yield Analysis Service: Vault performance analysis and metrics calculation
• Multi-chain Support: Ethereum, Arbitrum, Base, Optimism, Polygon, BSC, and more
• Comprehensive Metrics: APY calculations, volatility analysis, Sharpe ratios, and drawdown tracking
• Real-time Data: Fetch vault performance from blockchain subgraphs
• Type Safety: Full Pydantic validation and type hints

📦 Installation

pip install yield_analysis_sdk

🔧 Quick Start

For detailed usage examples, see the examples/ directory:

• examples/analysis_service.py: Analysis service implementation
  • Note: Do NOT add input/output requirements through the ACP UI when using this SDK setup
  • Flexible data sources: Uses subgraph for price fetching, but alternative data sources can be configured
• examples/registration.py: Vault registration and job management

Basic Usage

from yield_analysis_sdk import Chain, analyze_yield_with_daily_share_price

# See examples/analysis_service.py for complete implementation

🏗️ ACP Ecosystem Integration

This SDK provides two main services within the ACP ecosystem:

Vault Registration Service

• Register new DeFi vaults for analysis
• Validate vault addresses and chain compatibility
• Manage registration workflow through ACP jobs

Yield Analysis Service

• Provide vault performance analysis as an ACP service
• Calculate comprehensive yield metrics
• Deliver analysis results through ACP job completion

📊 Supported Metrics

• APY Calculations: 7-day, 30-day, 90-day annualized yields
• Risk Metrics: Volatility, maximum drawdown, Sharpe ratio
• Vault Info: Fees, capacity limits
• Multi-chain: Cross-chain vault comparison

🤝 Contributing

1. Fork the repository
2. Create a feature branch
3. Make your changes
4. Add tests
5. Submit a pull request

📞 Support

• Email: [e-mail]
• Issues: GitHub Issues