> 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/docs/overview.md).

# Overview

January's developer platform provides one API for food search, meal analysis, food logging, restaurant discovery, and sensor-free glucose prediction.

## Choose where to begin

* Follow the [Quickstart](/docs/quickstart.md) to make your first request.
* Connect a coding agent with the [MCP server](/docs/mcp-server.md).
* Read [Authentication](/docs/authentication.md) before choosing how your application stores credentials.
* Explore the [REST API reference](/rest-api/api-overview.md) for every endpoint and schema.
* Choose the [iOS](/ios-sdk/overview.md), [Android](/android-sdk/overview.md), or [Web](/web-sdk/overview.md) SDK for client applications.

## API base URL

All REST requests use:

```
https://partners.january.ai
```

The current API version is `v1.2`. Every request must use HTTPS and include a valid bearer credential.

## Typical integration

1. Create an API key in the [January Developer Dashboard](https://dashboard.january.ai).
2. Keep the key on infrastructure you control.
3. Call January directly from your backend, or mint short-lived client tokens for end-user applications.
4. Use a stable end-user ID for operations that act on a particular user's data.

Continue with the [Quickstart](/docs/quickstart.md) to try a food search.