# roboMUA APIs Documentation

## roboMUA APIs Documentation

- [Welcome!](https://docs.robomua.com/welcome.md): We're an innovative AI solutions startup focused on building custom AI algorithms that excel in skin recognition, analysis & matching with inclusive data sets for over 100 skin shades and undertones.
- [Quick Start](https://docs.robomua.com/quick-start.md): Don't worry. We get it! It's always more fun to jump right in and then read the documentation if something breaks. We got you covered.
- [API Reference](https://docs.robomua.com/reference/api-reference.md): Our complete list of APIs to help supercharge your applications with AI that excels in finding the right shade of people based on their skin tone and undertones as well as virtual try-ons.
- [Skin Shade Detection API](https://docs.robomua.com/reference/api-reference/skin-shade-detection-api.md): This API employs advanced algorithms to factor in undertones, providing a more accurate and nuanced understanding of skin color to create more personalized and inclusive user experiences.
- [Lips Application API](https://docs.robomua.com/reference/api-reference/lips-application-api.md): This API employs precise facial landmarks to accurately and naturally apply lipstick to the lips in an image.
- [Hairstyle Try-On API](https://docs.robomua.com/reference/api-reference/hairstyle-try-on-api.md): This API employs precise facial landmarks to accurately and naturally try different hairstyles on an image.
- [Terms of Use](https://docs.robomua.com/terms-of-use.md): It's important to understand our Terms of Use. These terms govern the use of our APIs and by using them, you are agreeing to these terms. Please read, understand, and agree to these terms before use.


---

# 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, you can query the documentation dynamically by asking a question.
Perform an HTTP GET request on a page URL with the `ask` query parameter:
```
GET https://docs.robomua.com/welcome.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.
