> For the complete documentation index, see [llms.txt](https://docs.pawtato.gg/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.pawtato.gg/token/basics/xtato-revenue-share.md).

# xTATO Revenue Share

### **How It Works** 🚨

Pawtato offers a structured and sustainable **revenue share system** for <mark style="color:$warning;">**$TATO**</mark> Stakers = <mark style="color:green;">**xTATO**</mark> Holders.

Here’s what you need to know:

📸 **Monthly Snapshot**

* At the end of each month, we take a snapshot of new $TATO inflows.
* 25% of that inflow is allocated for staking rewards.

📅 **Weekly Distribution**

* To avoid oversupply and keep distributions healthy, rewards are released weekly over 4 weeks.
* This means rewards are streamed gradually rather than all at once.

🪙 **Eligibility**

* Revenue share is based on the percentage of <mark style="color:green;">**xTATO supply**</mark> you hold at weekly snapshot time.
* Only <mark style="color:green;">**xTATO**</mark> holders are eligible to receive rewards.

🎁 **Claiming Rewards**

* Rewards must be claimed within 4 weeks of distribution.
* Any unclaimed rewards after this period will be **burned**.

*This system is designed to:*

* *Reward long-term stakers*
* *Reduce sudden supply pressure*
* *Keep distributions fair and transparent*

Stay staked. Stay rewarded. 💜🚀


---

# 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:

```
GET https://docs.pawtato.gg/token/basics/xtato-revenue-share.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.