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

# Agent API

The **Agent API** enables direct interaction with xNomad AI-NFT agents via API, allowing seamless integration with decentralized applications and automation of tasks such as trading, asset management, and DeFi operations. The Agent API follows the **OpenAI Completion API standard.**

**Key Features**

* **API Key Generation:** Users create **personal API keys** to authenticate API requests.
* **Security:** Agents interact within **TEE-secured** environments, ensuring data and crypto asset protection.
* **On-Chain Task Automation:** Agents can perform on-chain tasks such as token trading, airdrop claims, and DeFi interactions via API with credentials.

**Use Cases**

* Automated crypto trading and DeFi actions
* On-chain task automation (e.g., claiming airdrops)
* Market insights and strategy execution


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# 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.xnomad.ai/xnomad.fun/agent-api.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.