> For the complete documentation index, see [llms.txt](https://mdev-1.gitbook.io/litepaper/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://mdev-1.gitbook.io/litepaper/motion-xai-stack/tokenised-data.md).

# Tokenised Data

Tokenisation is **how value flows back to humans** during the transition to the AI data economy. Regain agency over one of the **most valuable assets you possess: your own signal.**

Every user becomes a creator. We are building a marketplace where **ALL human skills become shareable and monetizable.**

Motion xAI understands the **value isn't just in raw data. It's in how you do things.**

Tokenise **your workflows, your routines, your methods,** your hard-won expertise. Sell access to your digital twin. Let agents learn from the way you work.

Contribute to cohort datasets & anonymised patterns from groups with shared characteristics. Your signal improves the model. You share in the returns.

**Your earnings scale with how frequently your data is accessed.** To incentivise high-quality, well-described contributions that AI systems actually need: quality and uniqueness determine value, not just volume.&#x20;

**The transition is inevitable. Tokenization is how you capture value on the way through.**

<br>


---

# 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:

```
GET https://mdev-1.gitbook.io/litepaper/motion-xai-stack/tokenised-data.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
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.
