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. Tokenomics

Utility

  • Agent Access & Leasing – Users pay $PRIV to access premium AI Agents or lease high-performance agents through the marketplace.

  • Advanced Privacy Features – Certain TEE-secured operations, privacy logs, or MPC-heavy tasks require $PRIV to execute or prioritize.

  • Staking & Security – Token holders can stake $PRIV to earn rewards and participate in securing agent registries, task validation, or runtime attestation networks.

  • Governance – $PRIV enables on-chain governance via the PrivAI DAO, where holders can propose and vote on protocol upgrades, fund distribution, agent standards, and ecosystem policies.

  • Developer & Data Contributor Incentives – Developers earn $PRIV for publishing, maintaining, or updating useful AI Agents; data providers can be compensated for feeding verifiable off-chain data into agents through the MCP bridge.

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Last updated 4 days ago