5. DARP Data Flow Architecture
Last updated
Last updated
DARP’s layered architecture ensures a smooth and reliable flow of data across the entire system:
At the top of the architecture, we have three primary data sources:
Chain Data (Solana/EVM): On-chain data from various blockchain networks
Off-Chain Data (MemeDB/Market): External market data and MemeDB information
External APIs (Price/News): Third-party APIs providing price feeds and news
This layer contains specialized DARP servers that handle different aspects of data processing:
DARP Server A (Chain Monitor): Monitors blockchain activities
DARP Server B (Market Analytics): Processes market-related data
DARP Server C (News Aggregator): Aggregates and processes news data
The core intelligence layer containing three types of agents:
Data Collection Agent: Gathers and standardizes data from multiple DARP servers
Analysis Agent: Processes and analyzes the collected data
Alert Agent: Generates notifications and alerts based on analysis results
Manages data flow and transformation through:
Scheduler: Orchestrates tasks and coordinates agent activities
Data Cache: Temporarily stores frequently accessed data
Data Transform: Converts data into standardized formats
The interface layer providing multiple access points:
DARP Client: Direct protocol access for applications
API Access: Programmatic interface for developers
Web Interface: User-friendly web-based access
Data is collected from various sources into respective DARP servers
The Data Collection Agent aggregates information from all DARP servers
Data flows through the caching system for optimization
The Analysis Agent processes the cached data
Processed data undergoes transformation
The Alert Agent monitors and generates notifications
Users access the processed data through multiple interfaces
This architecture ensures:
Efficient data processing
Scalable integration capabilities
Real-time data access
Flexible user interaction options
