5. DARP Data Flow Architecture

DARP’s layered architecture ensures a smooth and reliable flow of data across the entire system:

DARP Data Flow Architecture

5.1 Data Flow Architecture

1. Data Sources Layer

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

2. DARP Protocol Layer

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

3. Agent Processing Layer

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

4. Data Integration Layer

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

5. User Access Layer

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

5.2 Data Flow Process

1. Data is collected from various sources into respective DARP servers

2. The Data Collection Agent aggregates information from all DARP servers

3. Data flows through the caching system for optimization

4. The Analysis Agent processes the cached data

5. Processed data undergoes transformation

6. The Alert Agent monitors and generates notifications

7. 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