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

Create-to-Earn: Developer-Centric Model

Developers can launch AI Agents as modular, task-specific services — from DeFi trading bots and cross-chain indexers to encrypted medical inference tools and compliance verifiers. When publishing an agent, the creator sets access rules, usage pricing, and privacy settings.

  • Revenue Generation: Agents can be monetized via per-task pricing, tiered subscription access, or leasing models

  • TEE Attestation Layer: Developers can validate that their agent performs sensitive operations securely, increasing user trust and visibility

  • Staking Mechanism: Developers can stake $PRIV to boost agent ranking and visibility in the marketplace

This model allows technical creators to earn recurring income from their AI agents — whether they’re simple one-shot tools or complex multi-chain services — without ever handling infrastructure or user onboarding directly.

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Last updated 4 days ago