> For the complete documentation index, see [llms.txt](https://docs.xeroai.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.xeroai.io/overview/tokenomics.md).

# Tokenomics

The tokenomics of XERO AI underpin the core functionality and sustainable growth of our ecosystem. The strategic distribution of tokens is designed to create a stable economic environment, incentivize various stakeholders, and ensure the long-term viability of the project.

#### <mark style="color:purple;">Contract Address:</mark> To be Announced

<mark style="color:purple;">**Token Name:**</mark> XERO AI

<mark style="color:purple;">**Ticker:**</mark> XERO AI

<mark style="color:purple;">**Total Supply:**</mark> 100 Million

#### <mark style="color:purple;">Token Allocation Details:</mark>

* **Liquidity Allocation (85%):** The majority of XERO AI tokens, 85% of the total supply, ensures stable trading environments and <mark style="color:purple;">minimizes price fluctuations</mark>.
* **Marketing (15%):** 15% of tokens are dedicated to marketing efforts, expanding awareness, and driving adoption, ensuring widespread recognition and growth.

<mark style="color:purple;">**Elevating Engagement with Buyback Benefits:**</mark>

We're excited to introduce a unique buyback advantage for token holders. By actively engaging with our project and discussing it using our token ticker, holders stand to benefit even more. We'll set up engagement milestones for social media posts or tweets featuring our ticker name. Once these milestones are reached, we'll initiate a token buyback, increasing token prices and providing additional profits for holders. This initiative promises a win-win scenario with minimal effort required from both parties, encouraging community participation and rewarding holders for their support.


---

# 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.xeroai.io/overview/tokenomics.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.