Enterprise Ethereum Analysis Agent

Real-time, AI-powered analysis of high-value Ethereum transactions using the Swarms framework.

Overview

The Enterprise Ethereum Analysis Agent is a production-grade system that monitors and analyzes high-value Ethereum transactions in real-time. By combining Web3 technology with advanced AI capabilities through the Swarms framework, it provides institutional-grade insights into significant blockchain movements.

Key Features

• Real-time Transaction Monitoring: Automated detection of transactions over 100 ETH
• AI-Powered Analysis: Instant, comprehensive analysis using GPT-4
• Market Context Integration: Real-time price data and USD value assessment
• Enterprise-grade Logging: Structured logging with rotation policies
• Persistent Storage: CSV-based transaction and analysis archival
• Contract Interaction Detection: Automatic identification of smart contract interactions
• Event Tracking: Comprehensive logging of contract events
• Market Impact Assessment: Real-time analysis of potential market effects

Installation

Prerequisites

• Python 3.9+
• OpenAI API key
• Internet connection for blockchain and price data access

Setup

1. Clone the repository:

git clone https://github.com/The-Swarm-Corporation/eth-agent.git
cd eth-agent

2. Create and activate a virtual environment:

python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

3. Install required packages:

pip install -r requirements.txt

4. Create a .env file in the project root:

OPENAI_API_KEY=your_api_key_here

Usage

Start the analysis system:

python eth_analyzer.py

The system will:

1. Begin monitoring the Ethereum blockchain
2. Detect transactions ≥ 100 ETH
3. Perform AI analysis of each transaction
4. Save results to ethereum_analysis.csv
5. Display real-time analysis in the console

Configuration

Key parameters can be adjusted in eth_analyzer.py:

analyzer = EthereumAnalyzer(
    min_value_eth=100.0,  # Minimum transaction value to track
)

Output Format

The system generates two types of output:

1. Console Output (Real-time):

===========================================
New Transaction Analysis
Hash: 0x123...
Value: 150.00 ETH ($300,000.00)
Current ETH Price: $2,000.00
===========================================
[AI Analysis Output]
===========================================

2. CSV Output (Archived):

• timestamp
• transaction_hash
• from_address
• to_address
• value_eth
• value_usd
• eth_price
• gas_used
• gas_price_gwei
• block_number
• analysis

System Architecture

The system operates through several integrated components:

1. Blockchain Monitor: Interfaces with Ethereum network
2. Transaction Analyzer: Processes and filters transactions
3. AI Analysis Engine: Generates insights via GPT-4
4. Data Persistence: Manages CSV storage
5. Logging System: Maintains operational logs

Dependencies

• Swarms: AI agent framework
• web3.py: Ethereum interaction
• loguru: Logging system
• requests: API interactions
• pandas: Data management
• python-dotenv: Environment management

Enterprise Support

For enterprise deployment assistance or custom feature development, contact:

• Website: swarms.ai
• Discord: Join Swarms Community

Contributing

We welcome contributions! Please see our Contributing Guidelines for details.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgments

• Built with Swarms
• Uses OpenAI's GPT-4 for analysis
• Ethereum blockchain community

Security

Please report security issues directly to [email protected]

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Maintained by The Swarm Corporation