# The AVANA rewarding Mechanisms

Staking rewards:&#x20;

One way to incentivize holders to hold onto their AVANA tokens is to offer staking rewards. This could involve paying out a percentage of the platform's transaction fees or revenue to token holders who have staked their tokens for a certain period of time.&#x20;

Governance rewards:&#x20;

Another way to incentivize token holders to participate in the governance of the AVANA ecosystem is to offer governance rewards. This could involve paying out a percentage of the platform's transaction fees or revenue to token holders who vote on proposals or participate in other governance activities.&#x20;

Referral rewards:&#x20;

AVANA can incentivize its current token holders to bring in new users to the platform by offering referral rewards. This could involve paying out a percentage of the platform's transaction fees or revenue to token holders who refer new users to the platform.

Utility rewards:&#x20;

AVANA can incentivize token holders to use the platform by offering utility rewards. This could involve paying out a percentage of the platform's transaction fees or revenue to token holders who use the platform to buy, sell or create NFTs, participate in the gaming or music or video content or any other use case that the platform supports.&#x20;

Community rewards:&#x20;

AVANA can incentivize its token holders to contribute to the community by offering community rewards. This could involve paying out a percentage of the platform's transaction fees or revenue to token holders who contribute to the community by creating content, moderating, translation, bug reporting etc.


---

# Agent Instructions: 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://avanatoken.gitbook.io/avana-project/platform/the-avana-rewarding-mechanisms.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.
