> 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/community-participation/role-of-users-in-data-contribution.md).

# Role of Users in Data Contribution

<figure><img src="/files/9dQoC4txFlBqLS2J7Jly" alt=""><figcaption></figcaption></figure>

Motion xAI is provider agnostic. Your data already exists scattered across apps, devices, and platforms. We don't ask you to start from scratch.&#x20;

We help you **capture value from signals you're already generating:**&#x20;

Traditional motion capture requires lab environments, expensive equipment, controlled conditions. Limited access and impossible to scale.

Motion xAI inverts this model: Simplified onboarding, natural environments & real-world conditions.&#x20;

Comparable data quality at a fraction of the cost. All captured while users live their lives, not while they perform for researchers.

Early Motion xAI supporters (active in Telegram, following on X, participating at TGE) get **prioritised access** to community testing during Roadmap Phase 2.&#x20;

First to test digital experiences.&#x20;

First to shape what gets built.

**First to access new earn mechanisms.**&#x20;

<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/community-participation/role-of-users-in-data-contribution.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.
