# Databox API

> Bring your data together with the Databox API. Connect external tools, automate updates, and create datasets to power your dashboards and reports.

## Table of contents

 - [Dimensions](https://developers.databox.com/docs/v0/dimensions.md)
 - [Non-aggregatable metrics](https://developers.databox.com/docs/v0/non-aggregatable-metrics.md)
 - [Responses and errors](https://developers.databox.com/docs/v0/responses-errors.md)
 - [Units](https://developers.databox.com/docs/v0/units.md)
 - [Changelog](https://developers.databox.com/docs/v0/changelog.md)
 - [Data update frequency](https://developers.databox.com/docs/v0/data-update-frequency.md)
 - [Date and time](https://developers.databox.com/docs/v0/date-time.md)
 - [Visual preferences](https://developers.databox.com/docs/v0/visual-preferences.md)
 - [Create a metric](https://developers.databox.com/docs/v0/create-metric.md)
 - [Create a token](https://developers.databox.com/docs/v0/create-token.md)
 - [Introduction](https://developers.databox.com/docs/v0/introduction.md)
 - [Metric definition](https://developers.databox.com/docs/v0/metric-definition.md)
 - [Send custom data to Databox](https://developers.databox.com/docs/v0/send-data.md)
 - [Store values](https://developers.databox.com/docs/v0/store-values.md)
 - [Changelog](https://developers.databox.com/docs/api/changelog.md): Track changes across Databox API versions. View release notes for new endpoints, enhancements, and schema updates by version.
 - [View your data in Databox](https://developers.databox.com/docs/v0/view-data.md)
 - [Authentication](https://developers.databox.com/docs/api/authentication.md): Learn how to authenticate with the Databox API using API keys. Covers key creation, IP restrictions, user permissions, and key validation.
 - [SDKs](https://developers.databox.com/docs/v0/sdks.md)
 - [Glossary](https://developers.databox.com/docs/glossary.md): Definitions of key terms used in the Databox API documentation, including accounts, API keys, data sources, datasets, rate limits, and users.
 - [Databox API Overview](https://developers.databox.com/docs/api/overview.md): Overview of the Databox REST API — learn about plan availability, versioning, request IDs, and how to get started with programmatic data ingestion and automation.
 - [Rate limits](https://developers.databox.com/docs/api/rate-limits.md): Understand Databox API rate limits, including per-key request and payload limits. Learn best practices for avoiding throttling and handling rate limit errors.
 - [Error codes](https://developers.databox.com/docs/errors/error-codes.md): Reference of all Databox API error codes returned in the response body, with descriptions and guidance on handling each error programmatically.
 - [Error response format](https://developers.databox.com/docs/errors/error-response-format.md): Learn the structure of Databox API error responses, including the status, errors array, requestId fields, and how to parse them reliably in your client.
 - [HTTP status codes](https://developers.databox.com/docs/errors/http-codes.md): Reference of HTTP status codes returned by the Databox API, covering 2xx success, 4xx client errors, and 5xx server errors with handling guidance.
 - [Databox MCP Documentation](https://developers.databox.com/docs/mcp/overview.md): Learn how Databox MCP turns Databox into an AI-native analytics backend, enabling natural language queries, automated data ingestion, and real-time insights via the Model Context Protocol.
 - [Security and Best Practices](https://developers.databox.com/docs/mcp/security.md): Security best practices for Databox MCP — covering API key protection, OAuth tokens, data permissions, audit logging, rate limits, and enterprise compliance considerations.
 - [Client Configuration](https://developers.databox.com/docs/mcp/setup.md): Step-by-step instructions for connecting Databox MCP to AI clients including Claude, ChatGPT, Gemini, Cursor, n8n, and other MCP-compatible tools.
 - [Available Tools and Operations](https://developers.databox.com/docs/mcp/tools.md): Full reference of Databox MCP tools — including data ingestion, dataset management, AI-powered querying, and metric loading operations available to AI clients.
 - [Use Cases and Examples](https://developers.databox.com/docs/mcp/usecases.md): Explore real-world Databox MCP use cases — from conversational data analysis and multi-source merging to automated reporting and decision triggers via n8n workflows.
 - [Databox API](https://developers.databox.com/docs/api/api.databox.com.md)