> 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/data-inputs.md).

# Data Inputs

Motion xAI meets users where their data **already lives.**

We are **provider agnostic. We don't lock you into a single device, a single app, or a single ecosystem.** We aggregate, normalise and enrich data from wherever it originates, building a unified profile that compounds over time.

#### API Integrations 

Connect existing data streams with zero friction. Apple Health, Google Fit, Strava, Oura, WHOOP, Samsung Health your historical data becomes part of your owned asset from day one.

#### Wearable Sensors 

Attach directly to skin or clothing transmitting multiple data points per second via BLE to capture what wrist-based devices miss. Full-body mechanics. Real-time feedback. Research-grade precision.

#### Manual Upload

Spreadsheets, CSVs, exported files from legacy systems. If you have data, we can ingest it. Nothing gets left behind.

#### Dynamic Capture 

Real-time ingestion and processing. Your profile updates continuously, not just when you remember to sync.

**Multi-modal capture. Single point of control.**

Every input whether from a fitness tracker, a calendar app, or a proprietary sensor flows through the same ownership layer. **You decide what's captured, what's shared, and what's monetised.**

The source varies. The ownership doesn't.

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<figure><img src="/files/1CbgPWLp069OO9gp6L40" alt=""><figcaption></figcaption></figure>


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