> For the complete documentation index, see [llms.txt](https://xmasterbrainaix.gitbook.io/masterbraingent/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://xmasterbrainaix.gitbook.io/masterbraingent/mbai-ecosystem-and-tools/external-revenue-and-sharing.md).

# External Revenue & Sharing

The plan is to implement a revenue-sharing model that combines liquidity pool injections and ETH-based revenue distribution. Holders with a balance exceeding 0.5% of the total supply will be eligible to receive a share of the earnings, including profits generated by our agents.\
\
**The External Revenue Share consists of a variety of sources:**

1. Proceeds from the sale of credit packages through Basic BrAIn (GPT-3.5, DeepseekV2R) or Master BrAIn (GPT-4o, DeepseekV3R) from all our Agents.<br>
2. The AI Community Setup Program, where projects can choose to integrate our AI assistant into their own platforms.<br>
3. The Whitelabel Program, which allows projects to create their own customized Agent with a unique logo and name not connected to our Agents.<br>
4. Revenues generated from advertising campaigns on our Agents, open to both crypto and non-crypto projects seeking to promote their businesses or startups.

The guiding principle is to ensure that after paying environmental costs for our AI system, 100% of the resulting revenue streams are channeled back to the community and/or project. These presentations will be conducted regularly and transparently on a bi-weekly basis.\
\
This approach aims to maximize the benefits for all participants and foster greater trust and engagement within the initiative.


---

# 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://xmasterbrainaix.gitbook.io/masterbraingent/mbai-ecosystem-and-tools/external-revenue-and-sharing.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.
