> For the complete documentation index, see [llms.txt](https://bandwidth-1.gitbook.io/bandwidth-or-usdbps-or-product-docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://bandwidth-1.gitbook.io/bandwidth-or-usdbps-or-product-docs/the-bandwidth-ecosystem/rewards-points.md). # Rewards / Points Bandwidth AI works with a point system. In other words, as users start lending out their unused bandwidth, they earn 'points', as visible in their Dashboard. At the end of each week, $BPS tokens are bought back through revenue generated by our ecosystem, and distributed to users of our platform in proportion to the amount of points they have received.\ \ As detailed in the ['Our Solution'](/bandwidth-or-usdbps-or-product-docs/the-concept/our-solution.md) chapter of this whitepaper, the revenue generated by Bandwidth AI comes from the unused bandwidth of users on our platform. This bandwidth is sold to AI companies, which effectively use this bandwidth to train their models.\ \ The below example details a potential revenue generation and allocation scenario.\ \ **Rewards Example for User A in Week X**\ **Revenue Generated in Week X:** $10,000\ **Total Points Generated in Week X:** 1,000\ **User A Points Generated in Week X:** 100\ **User A Revenue Share in Week X:** $1,000\ \ As mentioned before, all rewards are paid out in $BPS. The revenue generated by the sold through Internet Bandwidth generated in a given week, is used to buyback $BPS tokens. These tokens are then distributed to users of our platform through workings described above. --- # 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://bandwidth-1.gitbook.io/bandwidth-or-usdbps-or-product-docs/the-bandwidth-ecosystem/rewards-points.md?ask=&goal= ``` `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.