# Fee Structure

When you trade with JuiceBot, a fee of 0.69% is applied to all transactions. This fee supports the platform’s ecosystem and is distributed in the following way:

| Percent of revenue | Allocation                     | Purpose                                                                                | Benefit                                                                                                                                   |
| ------------------ | ------------------------------ | -------------------------------------------------------------------------------------- | ----------------------------------------------------------------------------------------------------------------------------------------- |
| **35%**            | **Leaderboard Rewards**        | Fuels the rewards and incentives within our gamified leaderboard system.               | Enhances user engagement by offering competitive rewards, making your trading experience more interactive and rewarding.                  |
| **15%**            | **Token Buybacks (deflation)** | Allocated for buying back JUICE and $MONG tokens from the market and burning them.     | Reduces the circulating supply of tokens, which can potentially increase the value of the remaining tokens and benefit all token holders. |
| **50%**            | **Project Expenses**           | Supports the operational costs, development, and maintenance of the JuiceBot platform. | Ensures continuous improvement, new feature development, and reliable service for all users.                                              |


---

# 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://juicebot.gitbook.io/juicebot/bot/fee-structure.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.
