> 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/ecosystem-components/platform/click.md). # Click #### **What is Click** Click is a continuous, real-time game where users participate by performing clicks within a shared system. Each click contributes to a hidden progression, and the user who performs the **100th click** receives the entire reward for that round. The game is built around simplicity, continuous participation, and an invisible progression system that prevents users from knowing how close they are to winning. *** #### **How it works** Click operates on a fixed rule: **Every 100th click wins the reward** The system works as follows: * Each click has a fixed cost * Every click increases an internal counter by one * When the counter reaches **100**, the user who performed that click wins the reward * Immediately after the winning click, the system resets back to zero * A new round starts instantly However, the critical part of the system is: **The counter is completely hidden from users** This means: * Users cannot see how many clicks have been made * Users do not know how close the system is to the 100th click * Users cannot track or predict when the winning click will happen * When the 100th click occurs, it is only visible to the winning user Other users: * Do not see the exact moment the 100th click happens * Cannot determine whether the system was close to winning As a result, every click is independent from the user’s perspective and may potentially be the winning click. *** #### **Key mechanics** Click is built on a hidden progression system combined with continuous participation. * The winning condition is always the **100th click** * The system resets immediately after each win * The internal counter is never visible to users * No user can track or predict the current position * Every click has the same chance from the user’s perspective This creates a system where: * Timing is unpredictable * Outcomes cannot be anticipated * Every action carries the same potential At the same time, every interaction contributes to the platform: * Each click generates transaction volume * A fixed **5% protocol fee** is applied * **2.5% is burned** and **2.5% is distributed in USDT** --- # 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/ecosystem-components/platform/click.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.