Integrations

Supercharge Mux with Relevance AI

Mux is a video infrastructure platform that streamlines video processing and management. With Relevance AI, you can leverage advanced AI Agents to enhance video workflows, automate tasks, and gain deeper insights from your video content.

Give your AI Agents Mux Superpowers

Mux provides a robust video infrastructure that simplifies asset management and playback. Relevance AI amplifies these capabilities by enabling intelligent AI Agents to automate and optimize video workflows.

Intelligent Video Orchestration

The AI agent seamlessly coordinates video processing workflows, optimizing encoding and delivery across global networks.

Dynamic Delivery Optimization

Smart routing and caching decisions maximize streaming performance while minimizing bandwidth costs and latency.

Predictive Performance Scaling

The agent anticipates viewing demand patterns and automatically adjusts resources to maintain smooth playback.

Tools

Equip AI Agents with the Mux Tools they need

Relevance AI integrates seamlessly with Mux to enhance your video processing workflows.

Mux - Get Asset
Retrieves detailed information about a specific video asset from the Mux platform, allowing users to access metadata and properties of stored video content
Mux - Create Asset Track
Adds a new track (such as subtitles or closed captions) to an existing video asset, supporting multiple languages and accessibility features
Mux - Create Asset
Creates a new video asset in the Mux platform from a source URL, with options for playback configuration, audio normalization, and format support
Mux - Get Asset or Livestream ID
Retrieves the unique identifier for either a video asset or livestream using a playback ID, enabling access to specific content streams
Name
Mux API Call
Description
Make an authorized request to a Mux API
Parameters
["OAuth authentication", "Multiple HTTP methods (GET, POST, PUT, DELETE, PATCH)", "Custom headers support", "Request body configuration", "Response handling with status codes"]
Use Case
A video streaming platform uses Mux API Call to programmatically manage their content library, automatically creating and updating video assets when new content is uploaded while tracking playback analytics to optimize viewer experience.

Security & Reliability

This integration enables seamless video processing and management capabilities through Mux's video infrastructure platform within the Relevance AI environment. With this integration, you can streamline video asset creation and management, automate video transcoding and delivery, and gain advanced playback control and tracking, all while supporting subtitles and closed captions.

To get started, ensure you have a Mux account with API access, a Relevance AI account, and the necessary OAuth credentials for Mux authentication, including your API Key and API Secret. Additionally, make sure your system meets the requirements of Node.js 12.x or higher, supports HTTPS for API callbacks, and has sufficient storage for video processing.

Once your accounts are set up, configure OAuth authentication and the base URL for Mux's API. You can then create video assets, add subtitles or captions, and retrieve asset information using straightforward API calls.

Common API operations include retrieving asset or livestream IDs, and troubleshooting common issues such as authentication errors, asset creation failures, and playback issues is made easier with clear guidelines. Best practices for asset management, performance optimization, and security are also provided to ensure your integration runs smoothly.

For further assistance, refer to the Mux documentation and API reference, or contact support at [email protected]. This guide covers the basic implementation of Mux video services through the Relevance AI integration, and for advanced features, please consult the official Mux documentation.

No training on your data

Your data remains private and is never utilized for model training purposes.

Security first

We never store anything we don’t need to. The inputs or outputs of your tools are never stored.

Get Started

Best Practices for Non-Technical Users

To get the most out of the Mux + Relevance AI integration without writing code:
  • Organize your video assets: Use descriptive names and tags for easy identification and management.
  • Utilize automated workflows: Leverage Relevance AI's capabilities to automate video processing tasks like transcoding and delivery.
  • Ensure proper authentication: Double-check your OAuth credentials and permissions to avoid authentication issues.
  • Monitor asset status: Regularly check the processing status of your video assets to ensure they are ready for playback.
  • Implement security best practices: Use signed URLs for sensitive content and rotate your API credentials periodically.