> For the complete documentation index, see [llms.txt](https://docs.iagentpro.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.iagentpro.com/product-and-ecosystem/ai-agent-marketplace.md).

# AI Agent Marketplace

### The Core of the iAgent Ecosystem <a href="#id-2.-ai-agent-marketplace-the-core-of-the-iagent-ecosystem" id="id-2.-ai-agent-marketplace-the-core-of-the-iagent-ecosystem"></a>

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.

<figure><img src="/files/h6EXLgXMVj3EZanhH2Ee" alt=""><figcaption><p>TrainHub</p></figcaption></figure>


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

```
GET https://docs.iagentpro.com/product-and-ecosystem/ai-agent-marketplace.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

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.