rep.fun
  • The Intelligent Web Needs Privacy by Default
  • rep.fun: Built-in Trust
    • Mission
    • Vision
  • The Logic Layer Behind Trusted AI
    • Trusted Execution Environments (TEEs)
      • Private by Design: Protecting Data in Execution
      • Verifiable by Default: Generating Cryptographic Proofs
      • TEE Execution Lifecycle Overview:
    • Modular AI Micro-Engines
    • Cross-Chain Privacy Routing
    • Earn With TEE
      • Run & Monetize TEE Nodes
      • Deploy AI Micro-Engines
      • Join the AI & TEE Developer Program
  • Privacy, Execution, and Extensibility
    • Privacy by Default
    • TEE Node Marketplace
      • Execution Flow
    • Enterprise-Ready
  • Technical Backbone
    • AI Computation Layer
    • TEE Technology
    • Cross-Chain Communication Layer
  • Tokenomics
    • Token Allocation
    • Utility
  • Roadmap
  • FAQ
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  1. The Logic Layer Behind Trusted AI
  2. Earn With TEE

Deploy AI Micro-Engines

rep.fun allows developers to create, publish, and monetize AI Micro-Engines — compact, task-specific models optimized for execution within TEEs. These engines can perform a range of use cases: from DeFi analytics and trading logic, to diagnostics, pattern recognition, or DAO governance scoring.

Monetization is natively supported through:

  • $REP-based subscriptions to individual engines or engine bundles

  • Pay-per-use pricing for access-triggered tasks

  • Custom licensing models, including exclusive enterprise deployments

Each engine is deployed in a sealed enclave, ensuring the developer’s intellectual property remains protected while delivering verifiable outputs to users. Developers retain control over engine logic, pricing, and versioning — giving them full autonomy and financial upside in a decentralized AI marketplace.

This framework enables a true “build once, earn forever” model — where utility, privacy, and profit are aligned through a native token economy.

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Last updated 7 days ago