> 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/changer.md). # Changer #### **What is Changer** Changer is a value-based game where users convert their existing balance into a specific asset or value they select. Unlike fully randomized games, Changer allows users to define their desired outcome. However, each conversion is associated with a calculated probability, meaning users must accept the defined chance before executing the action. This creates a controlled yet dynamic experience where users combine choice with probability. *** #### **How it works** Users begin by selecting the amount they want to use and choosing the target asset or value. After defining their selection: * The system calculates a probability for the chosen outcome * The probability is displayed clearly to the user * The user reviews and confirms the action * The system generates the result instantly If the attempt is successful: * The user receives the selected target If the attempt is not successful: * The input amount is used within the attempt The outcome is determined based on predefined system logic and the displayed probability. *** #### **Key mechanics** Changer operates on a selection-based probability model. * Users choose the exact target they want to receive * Each selection is associated with a specific success probability * Higher-value targets result in lower probability * Lower-value targets result in higher probability This allows users to directly control both the potential outcome and the level of risk. Unlike Upgrade, where outcomes are fully random, Changer introduces a system where users make decisions based on visible probabilities. Each interaction also contributes to the platform: * Every action generates transaction volume * A fixed **5% protocol fee** is applied * **2.5% is burned** and **2.5% is distributed in USDT** This ensures that even user-controlled interactions remain part of the broader ecosystem. --- # 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/changer.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.