iAgent whitepaper
iAgent whitepaper
  • Introduction
  • Philosophy
    • Problem & Solution
    • Vision & Mission
  • Product and Ecosystem
    • Visual Learning Model (VLM)
    • ERC-AI Agent Standard
    • AI Agent Marketplace
    • Data Collection & Labeling
    • iAgent Dev Hub
  • Visual Learning Model Explained
  • iAgent Protocol Explained
  • Protocol Governance
    • Governance Framework
    • Governance Core
    • Privacy and Security
  • Protocol Nodes
    • Node Deployment
    • Video Tutorial
    • FAQs
    • Key Aspects
    • Consensus Algorithms
    • Reward Calculation
    • How to KYC
    • Purchase and Sale Agreement
  • $AGNT
    • $AGNT Tokenomics
    • $AGNT Solo Staking
    • $AGNT Liquid Staking
  • Roadmap
  • Conclusion
  • Official Links
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  1. Product and Ecosystem

ERC-AI Agent Standard

PreviousVisual Learning Model (VLM)NextAI Agent Marketplace

Last updated 15 hours ago

A New AI Digital Asset Class

The ERC-AI Agent Token Standard introduces an entirely new category of digital assets, enabling on-chain AI ownership, validation, and monetization. AI models become verifiable, secure, and fully interoperable across blockchains.

Core Innovations:

  • AI Agents as Tokenized Assets: AI models are issued as ERC-AI tokens, ensuring transparency and security.

  • On-Chain Execution & Validation: Smart contract-based proof-of-training and AI integrity.

  • Cross-Chain Operability: AI agents remain functional and verifiable across Ethereum, Avalanche, Arbitrum, and more.

  • Decentralized Licensing & Monetization: Developers and users can trade or license AI models securely.

Authorship & Development:

Led by iAgent, co-authored by LayerZero, Sequence, and 4 CTOs from top-tier Web3 infrastructure projects.

Why This Standard is a Breakthrough:

  • Turns AI models into tradable, ownable digital assets LLM , VLM and other core architectures.

  • Creates a scalable framework for decentralized AI execution.

  • Paves the way for AI monetization and ownership in Web3.

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