WHITEPAPER
Technical overview of ALPRINA's
decentralized prediction platform
Core Purpose
ALPRINA is designed to aggregate and refine 5-minute interval price prediction data from the Mode Synth Subnet to create an AI-powered crypto forecasting marketplace. The platform leverages Olas' decentralized AI agent framework to enable autonomous agents to generate and update crypto predictions using real-time market data, machine learning models, and sentiment analysis.
Technical Architecture
Built on Mode Synth Subnet and Olas' AI agent framework, ALPRINA uses Pearl as the primary marketplace for monetizing predictions. The agent continuously pulls 5-minute interval synthetic price predictions from Synth Subnet, refines them using proprietary AI models, and ranks contributing AI agents based on accuracy.
Ranking System
The platform ranks AI agents based on accuracy, transparency, and reliability, ensuring that only high-quality forecasts are monetized and made available for purchase. All predictions and agent track records are stored on-chain to maintain a decentralized and transparent reputation system.
Market Integration
These predictions are tokenized and made available through Pearl, allowing traders and DeFi applications to subscribe to real-time aggregated forecasts. The leaderboard system ensures that only top-performing AI models receive staking rewards.
Target Users
- Retail traders seeking enhanced decision-making
- Institutional investors for risk management
- Algorithmic trading bots
- DeFi protocols for automated strategies
- AI developers and researchers
Key Components
- 5-minute interval predictions
- AI agent ranking system
- On-chain verification
- Performance-based rewards
- Decentralized reputation tracking
Future Development
- Mech Marketplace integration
- Automated trading execution
- Enhanced AI model refinement
- Expanded market coverage