For the complete documentation index, see llms.txt. This page is also available as Markdown.

Integration Options

Use this page to choose the right way to connect data, tools, and workflows to Revenium. The detailed setup lives in the child pages so this page stays scannable.

Choose an Integration Path

Start with the path that matches what you are connecting:

Goal
Best starting point

Add metering to application code

Connect OpenAI, Anthropic, or other provider billing accounts

Send standard OpenTelemetry data

Send custom payloads directly to Revenium

Let an AI coding assistant read Revenium docs while you integrate

Let an AI agent query or operate Revenium through tools

Use Revenium from the command line

Connect team workflow systems

The canonical API domain for examples in this documentation is https://api.revenium.ai.

What Lives Here

Page
Use it for

Python, Node.js, Go, LangChain, n8n, and other middleware setup.

Choosing the right key type and understanding current scoped-key limits.

Connecting provider accounts for billing and historical usage import.

Understanding application data sources and integration identifiers.

OpenTelemetry endpoints, authentication, GenAI attributes, and examples.

Letting AI coding assistants retrieve Revenium docs and schemas.

Connecting MCP-compatible agents to Revenium.

Guided command-line setup and codebase instrumentation.

Route AI cost alerts, anomaly notifications, and reports to Slack channels.

Trying direct API calls and reading schema-level details.

Need custom payloads or a non-SDK path?

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