> For the complete documentation index, see [llms.txt](https://whitepaper.ethereumtowers.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://whitepaper.ethereumtowers.com/metaverse-companion-app/apartment-staking.md).

# Apartment Staking

### Apartment Staking

NFT Staking is a planned feature in the Ethereum Worlds Metaverse. Ethereum Towers Apartment holders may be able to stake their Apartment NFTs via the Metaverse Companion App. This staking mechanic is planned to be handled exclusively via the Ethereum Worlds Metaverse Companion App, in one easy to use dashboard.

{% hint style="warning" %}
**PLEASE READ:**  NFT staking will only be available to holders in compliance with local regulations and guidelines set forth by the U.S. Securities and Exchange Commission (SEC). All holders must adhere to applicable laws and SEC regulations governing NFT staking activities.
{% endhint %}

<figure><img src="/files/NXTI6httUG4cxWcyc2Je" alt=""><figcaption><p>Metaverse Companion App 'NFT Staking' Page (Demo)</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://whitepaper.ethereumtowers.com/metaverse-companion-app/apartment-staking.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.