iAgent Protocol
Enabling world gamers to train their own AI agents from gameplay footage, powered by a decentralized GPU computing, thereby creating a new on-chain asset class.
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: Help us build the future of gaming!
- Visual Learning Model Explained
- iAgent Protocol Explained
- Data Contribution Explained
- Protocol Governance
- Governance Framework
- Governance Core
- Privacy and Security
- Terms & Conditions
- Protocol Nodes
- Node Deployment: How to Setup and Run Genesis Nodes?
- Video Tutorial
- FAQs
- Key Aspects
- Consensus Algorithms
- Reward Calculation
- How to KYC
- Purchase and Sale Agreement
- $AGNT Tokenomics
- AGNT Contract
- AGNT Vesting
- AGNT Emission
- AGNT Solo Staking
- AGNT Liquid Staking
- AGNT Governance
- AGNT Tokenomics
- Roadmap
- Conclusion
- Official Links
Agent Instructions: Querying This Documentation
If you need additional information, you can query the documentation dynamically by asking a question.
Perform an HTTP GET request on a page URL with the ask query parameter:
GET https://docs.iagentpro.com/introduction.md?ask=<question>
The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.
Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
Perplexity AI is an AI-powered search engine that provides direct answers to user queries by leveraging large language models.
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