> 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/tokenization/tokenized-value-structures.md). # Tokenized Value Structures Tokenized Value Structures within the Sweep ecosystem define how value can be represented, segmented, and interacted with through programmable digital units. Rather than treating tokens as isolated instruments, Sweep organizes them as components of **structured systems**, where each unit represents a defined position within a broader value framework. These structures are designed to enable flexible participation while maintaining a clear and consistent logic for how value is organized and distributed. At a structural level, value can be divided into multiple units, allowing broader access and interaction. Each unit functions as part of a system that defines how participation is measured and how outcomes are determined. This approach transforms static value into a **dynamic and accessible format**, where users can engage with complex structures through simplified representations. These structures are not limited to purely digital contexts. They are designed to support **value-linked systems**, where underlying activity, performance, or external references can be reflected within the structure itself. This enables the creation of models where value representation is connected to real or system-based dynamics, without relying on rigid or predefined formats. A key aspect of Tokenized Value Structures is their **modular design**. Each structure can be configured based on specific parameters, such as: * The total number of units * The distribution logic applied within the system * The conditions under which value is allocated This allows the creation of flexible systems tailored to different use cases, while maintaining a standardized framework for interaction. By structuring value in this way, Sweep enables a more inclusive and scalable model of participation. Users are able to interact with value not as a fixed entity, but as part of a system that is designed to be **programmable, divisible, and continuously operable**. --- # 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/tokenization/tokenized-value-structures.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.