> For the complete documentation index, see [llms.txt](https://docs.january.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.january.ai/introduction.md).

# Introduction

January builds food and metabolic intelligence infrastructure: one platform for understanding what people eat and how food may affect them. Clinical-grade precision, consumer-grade experiences — you build the product, January supplies the intelligence underneath it.

### What you can build

With a single API key you can scan food from a photo or a plain-English description, search a food database by name or barcode, keep per-user food diaries, and predict the glucose response to any meal — no sensor required.

### How these docs are organized

Getting Started covers keys, limits, and support — read it first. REST API explains the concepts behind the HTTP interface and contains the full endpoint-by-endpoint reference, generated live from our OpenAPI specification. Mobile SDKs covers the native libraries, starting with Swift.

### Base URL

All API traffic goes to <https://partners.january.ai> and is versioned under /v1.2/.