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

AI Agent Marketplace

PreviousERC-AI Agent StandardNextData Collection & Labeling

Last updated 15 hours ago

The Core of the iAgent Ecosystem

The AI Agent Marketplace is the foundation of iAgent’s decentralized ecosystem, enabling seamless AI model deployment, trading, and monetization in Web3 gaming and beyond. It provides an open economy for AI-driven game agents, allowing developers, players, and businesses to access, rent, and integrate intelligent AI models effortlessly.

Key Features:

  • AI Agent Deployments: Instantly integrate AI-powered agents into games and applications.

  • AI Agent Trading & Renting: Buy, sell, and rent AI models as tokenized assets.

  • Cross-Chain Compatibility: AI agents are deployed across 200+ blockchains via the ERC-AI standard.

  • Decentralized Execution Support: AI models are validated and run on iAgent protocol nodes, ensuring scalability and transparency.

Why It’s a Game-Changer:

  • Democratizes AI model ownership and monetization.

  • Enables seamless AI integration in gaming and metaverse applications.

  • Opens new revenue streams for developers and AI creators.

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