AI-Powered Ranking
Why AI?
Traditional solver selection uses simple metrics (lowest price, fastest execution). Intenus employs sophisticated AI to evaluate solutions across multiple dimensions simultaneously.
The Ranking Process
Intent Classification
Machine learning models analyze your intent to determine:
Trading urgency (immediate vs. patient execution)
Size category (retail vs. institutional)
Risk tolerance (based on slippage constraints)
Complexity level (simple swap vs. multi-step strategy)
This classification determines which ranking strategy is optimal for your specific needs.
Multi-Factor Evaluation
Solutions are scored across multiple dimensions:
Economic Efficiency:
Output surplus vs. market benchmark
Gas cost optimization
Price impact minimization
Execution Quality:
Historical solver reliability
Slippage control accuracy
Transaction success rate
Speed & Certainty:
Expected confirmation time
Probability of successful execution
Network congestion adaptation
Strategic Value:
MEV protection effectiveness
Privacy preservation quality
Long-term price impact
Verifiable Computation
All AI ranking occurs within Nautilus Trusted Execution Environments (TEEs):
Attestation: Cryptographic proof that ranking was performed correctly
Reproducibility: Anyone can verify the ranking given the same inputs
Integrity: No party can manipulate the ranking process
Confidentiality: Solution details remain private during evaluation
Continuous Improvement
The AI models improve over time through:
Historical Data: Every execution creates training data stored on Walrus
Feedback Loops: User satisfaction and outcome quality inform model updates
Market Adaptation: Models adjust to changing DeFi landscape
Solver Innovation: New strategies are automatically incorporated
Last updated