Metered products

Pick your product below. Each section links to its docs, a quickstart, its API reference and a reference file you can give to AI coding tools.

TURN Server

A globally distributed relay for WebRTC traffic that connects users through NATs and strict firewalls. Traffic goes to the nearest edge automatically, or you can pin it to a specific region for data residency.

• Docs: TURN Server overview
• Quickstart: TURN quickstart
• API reference: TURN Server REST API
• AI reference file: llms-turn-server.txt

Global Cloud SFU

The Global Cloud SFU works like a pub-sub service for audio, video and data channels: you publish and subscribe to media with the plain WebRTC API and HTTP, without a third-party SDK. Users connect automatically to the SFU nearest to them, so there is no region to pick.

• Docs: Global Cloud SFU overview
• Quickstart: Quick start guide
• API reference: SFU REST API, starting with Create Session
• AI reference file: llms-sfu.txt

Realtime Messaging

Two-way, low-latency messaging over WebSockets. One protocol covers WebRTC signalling, AI agent communication, live presence and chat, IoT telemetry, and collaborative apps.

• Docs: Realtime Messaging overview
• Quickstart: Getting started
• API reference: Realtime Messaging REST API
• AI reference file: llms-realtime-messaging.txt. Smaller files for each SDK and for raw WebSocket are listed on Build with AI.

Video API & SDK

Build video and voice calling apps with the Metered Video SDK and REST API. You can record meetings, create a composed video of all participants, live stream with HLS, and stream out over RTMP to services like YouTube Live and Twitch.

• Docs: Introduction to Metered Video
• Quickstart: Quick start guide (JavaScript SDK)
• API reference: Video REST API and JavaScript SDK reference
• AI reference file: llms-video-sdk.txt

More in the Video docs:

• Live stream a meeting
• Live Stream Rooms
• Voice calls: create audio-only rooms
• Metered Embed: embed video calls and text chat into an existing app or website. AI reference file: llms-embed.txt

Across products

• The new dashboard: what changed in the redesigned dashboard and how to switch between the new and classic dashboards.
• Build with AI: reference files for every product, and prompts for Claude Code, Cursor, Copilot and other AI coding tools. llms-full.txt combines the Video SDK, TURN Server, Global Cloud SFU and Embed SDK references; Realtime Messaging has its own combined file, llms-realtime-messaging.txt.