> For the complete documentation index, see [llms.txt](https://docs.thesimserc-20edition.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.thesimserc-20edition.com/the-token/tokenomics.md).

# Tokenomics

<table><thead><tr><th width="169">Area</th><th width="120">%</th><th>Number of Tokens</th><th>Notes</th></tr></thead><tbody><tr><td>Liquidity</td><td>80%</td><td>800,000</td><td>Added to LP on UniSwap and locked on UniCrypt for an initial 6 months.</td></tr><tr><td><p>Reserved for Revenue Share/P2E/</p><p>Exchange Listing</p></td><td>20%</td><td>200,000</td><td>Locked for 1 month/Until the Revenue Share and P2E systems are ready to go live. When we have decided on how much we will need for these, the rest will be burnt.</td></tr><tr><td>Total</td><td>100%</td><td>1,000,000</td><td></td></tr></tbody></table>

There will be a 4% tax on both buys and sells of the token:

* 3% Game development + Revenue Share/P2E
* 1% Team

Initial liquidity will be 5 ETH. Initial Max TX/Wallet will be 2% of Total Supply.


---

# 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.thesimserc-20edition.com/the-token/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.
