> For the complete documentation index, see [llms.txt](https://xworld.gitbook.io/xworld/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://xworld.gitbook.io/xworld/xworld-network/agent-token-mining-mechanism.md).

# Agent Token Mining Mechanism

Agent Token issuance follows a **universal NFT + multi-Agent computing power package** model. Users need only **one universal NFT** to mine multiple Agent Tokens by purchasing computing power packages.

### **NFT Issuance Rules**

* **Universal Utility** – One NFT grants access to all Agent Token mining pools.
* **Holding-Time Benefits** – The longer an NFT is held, the higher its mining efficiency.
* **Identity & Governance Weight** – NFT tracks user contribution across Agents.

### **Computing Power Packages & Mining Rules**

* **Consumable Design** – Computing power gradually depletes with mining time.
* **Purchase & Liquidity Injection** – Users buy computing power with **$World tokens**, which are injected into the target Agent's liquidity pool.


---

# 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://xworld.gitbook.io/xworld/xworld-network/agent-token-mining-mechanism.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.