> For the complete documentation index, see [llms.txt](https://docs.sweep.finance/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.sweep.finance/system-architecture/how-sweep-works.md). # How Sweep Works Sweep is a Web3 gaming ecosystem where user activity directly drives value creation within the platform. Instead of relying on external rewards or artificial incentives, Sweep operates through a closed-loop system where gameplay, transactions, and economic mechanics are all interconnected. At its core, Sweep is built around a simple principle: **every action within the platform contributes to the system, and the system redistributes that value back to users.** *** All value within Sweep originates from user activity. As users participate in games, perform transactions, and interact with the platform, volume is continuously generated within the system. This volume forms the foundation of the ecosystem and ensures its continuous operation. Every interaction becomes part of an ongoing transactional flow across the platform. Each action performed on Sweep is processed as a transaction on the **BNB Smart Chain (BSC)** network. This ensures that all activity within the system is measurable, verifiable, and transparent. The generated volume is not only a measure of activity, but also a key component of the platform’s economic structure. A predefined portion of this volume is automatically allocated through the system’s built-in mechanisms: * **2.5% of the generated volume is distributed in USDT through the distribution mechanism** * **2.5% is permanently removed from the system through a burn mechanism, supporting a deflationary model** This structure fundamentally differentiates Sweep from traditional gaming platforms. Users are not simply participants engaging with games, but integral components of an active economic system. *** As activity within the ecosystem increases, the value generated by this activity is redistributed back to users through predefined mechanisms. This reduces reliance on purely chance-based outcomes and introduces an additional layer of value participation. As a result, users are not positioned solely as players, but as active contributors within a system where participation itself generates and redistributes value. Sweep’s design transforms user interaction from a purely entertainment-based experience into a dynamic model where engagement contributes to both system growth and value circulation. --- # 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://docs.sweep.finance/system-architecture/how-sweep-works.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.