PrivAI
  • About PrivAI
    • PrivAI’s Solution
  • Mission & Vision
  • Privacy & Automation Core
    • Dynamic Privacy Switching
    • Secure TEE Computation
    • Model Context Protocol (MCP) Bridge
      • Key Functions of the MCP Bridge
  • Ecosystem Features
    • AI Agent Marketplace
      • Create-to-Earn: Developer-Centric Model
      • Rent-to-Use: Permissionless Leasing for Users
      • Agent Discovery and Lifecycle
    • Cross-Chain Interoperability
      • Unified Execution Across Chains
      • Use Case Examples
    • Auditable Privacy Logs
  • Advantages
  • Technology
    • Trusted Execution Environments (TEE)
    • Model Context Protocol (MCP)
    • Agent Virtualization & Modular Deployment
  • Tokenomics
    • Token Allocation
    • Utility
  • Roadmap
  • FAQ
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  1. Ecosystem Features
  2. AI Agent Marketplace

Rent-to-Use: Permissionless Leasing for Users

A major innovation of the PrivAI Agent Marketplace is its built-in agent leasing protocol. Users who do not wish to build or fully own an AI Agent can temporarily rent access to high-performance agents, gaining the benefits of sophisticated automation without the upfront complexity or capital expense.

  • Flexible Leasing Options:Agents can be leased by the hour, per transaction, or through daily usage passes — all governed by smart contracts.

  • Private Execution, Shared Utility:Even rented agents retain full TEE protections, ensuring that the user’s task remains confidential and isolated from other renters or the agent owner.

  • Creator-Preserved Revenue:Leasing automatically distributes income to the agent creator in $PRIV, proportional to usage volume and time rented — creating passive revenue streams for top-performing developers.

This model lowers the barrier to entry for users needing powerful AI logic — such as whale monitoring, liquidation automation, or encrypted computation — and enables them to operate efficiently and securely without full ownership.

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Last updated 4 days ago