Sol Onchain Analyst

A decentralized AI trading agent platform on Solana, leveraging RIG for LLM interactions and MongoDB for vector storage.

Token Filter Pipeline

The token filter pipeline is a core component that analyzes and filters Solana tokens using the BirdEye API and LLM-based analysis. The pipeline consists of five stages:

1. BirdEye Filter Selection: Intelligent selection of filtering parameters using LLM
2. Token List Retrieval: Fetching and filtering tokens from BirdEye API
3. Market Analysis: Deep analysis of market metrics and trading patterns
4. Metadata Analysis: Evaluation of social signals and development metrics
5. Final Filtering & Storage: Storage of filtered tokens with comprehensive analysis

Features

• Fully automated token analysis and filtering
• Integration with BirdEye API for real-time market data
• MongoDB storage for token recommendations
• LLM-powered market analysis and risk assessment
• Comprehensive scoring system for token evaluation

Technical Stack

• Language: Rust
• APIs: BirdEye API (Solana)
• Database: MongoDB
• LLM Integration: RIG with O1-MINI model
• Data Storage: Vector storage for token analysis

Getting Started

1. Clone the repository
2. Install dependencies:

   cargo build

3. Set up environment variables:

   BIRDEYE_API_KEY=your_api_key
   OPENAI_API_KEY=your_api_key
   MONGODB_URI=your_mongodb_uri

4. Run the token filter example:

   cargo run --example token_filter

Pipeline Configuration

The token filter pipeline can be configured through:

• BirdEye API parameters in src/prompts/token_filter_initial.txt
• MongoDB collection settings in src/services/token_filter.rs
• LLM model selection in environment variables

Data Structures

• BirdeyeFilters: API query parameters
• TokenAnalysis: Token evaluation data
• FilterResponse: Analysis results
• FilterSummary: Market statistics

Next Steps

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