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  • Introduction
    • Overview of Aura
    • What is Aura?
      • Opportunity: Growth of AI
      • Problem: On-Chain AI
    • The Future of AI Accessibility
    • $AURA Tokenomics
  • Aura Core Functions
    • Discover & Deploy AI Models
    • Validate AI Model Performance
    • AI Monetization & Collaboration
    • On-Chain Competitions
  • Technical Reference
    • Model Verification
    • Proof-of-Performance Layer
    • Featured Competitions
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  1. Technical Reference

Proof-of-Performance Layer

Last updated 1 month ago

Real-time AI models constructed to be tamper-proof

This is Aura’s cryptographic trust layer — engineered for contexts where execution integrity is mission-critical.

Models in this tier must:

  • Serve outputs in real-time

  • Respond under defined time and cost constraints

  • Log all session metadata

Aura uses zkTLS to prove that communication with the model occurred without man-in-the-middle interference. This is supported by:

  • Cloudflare/third-party routing logs to prove request origination

  • Time-bounded execution constraints to prevent pre-generation

  • Hash signatures of model input/output for tamper resistance

Together, these measures allow auditors, governance stakeholders, and external users to verify that a model did what it claimed, when it claimed it, without compromising IP or user data.

This hybrid of AI validation and blockchain verification is what gives Aura its unique position in the ecosystem: making intelligence trustworthy, provable, and programmable.