> For the complete documentation index, see [llms.txt](https://whitepaper.tabeta.be/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://whitepaper.tabeta.be/project-tokenomics/reward-token.md).

# Reward Token

![TabeCoin - The RamenDAO reward Token. Staking and other rewards will be paid out in TabeCoin.](/files/jvxy6oXqo079AfswCnsU)

## Reward Token Maximum Supply

Unlike traditional FIAT money, the TabeCoin has a fixed maximum supply. Meaning, there will be a limited number of coins in circulation and no more coins can be minted in the future. 

A fixed supply of 5,999,999 TABE will ensure that the coin is not inflationary, as is FIAT currency.

**A non inflationary Token means that if there is higher demand for the digital good is, the higher the value of the good itself.**

{% hint style="info" %}
**Non inflationary currency.**

With a fixed supply of 5,999,999 our reward token, TabeCoin, is not subject to inflation. 
{% endhint %}


---

# 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.tabeta.be/project-tokenomics/reward-token.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.