Streamlabs allows you to programmatically control your streaming alerts, donations, and other features through a REST API. Enhance your streaming setup with Relevance AI to automate interactions and create engaging experiences for your audience.
Streamlabs provides powerful tools for managing alerts and donations in real-time. With Relevance AI, you can leverage these capabilities to create dynamic streaming experiences that respond intelligently to viewer interactions.
Real-time Stream Orchestration
Dynamically adjusts stream settings and alerts based on viewer engagement patterns and performance metrics
Intelligent Donation Flow
Automates donation processing while personalizing viewer recognition and engagement responses
Engagement Pattern Recognition
Analyzes viewer behavior and chat patterns to trigger targeted interactions and alerts
Relevance AI seamlessly integrates with Streamlabs to enhance your streaming workflows with intelligent automation.
What you’ll need
You don't need to be a developer to set up this integration. Follow this simple guide to get started:
- A Relevance AI account
- An Airtable account with access to the base and table you'd like to use
- Authorization (you'll connect securely using OAuth—no sensitive info stored manually)
Security & Reliability
The Streamlabs integration utilizes secure OAuth authentication, ensuring that only authorized workflows can manage your streaming alerts and donations. Relevance AI handles API operations (like sending alerts, creating donations, and testing alerts) in the background—so you don’t have to worry about errors, formatting, or limits.
Built-in validation and type conversion ensure your streaming interactions run smoothly, even when data formats vary. This integration allows for automated alert management and real-time stream interaction, enhancing your streaming experience across platforms like Twitch and YouTube.
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.
To get the most out of the 0CodeKit + Relevance AI integration without writing code:
- Start with a clear setup: Ensure your 0CodeKit account is properly configured with the necessary OAuth credentials and permissions.
- Utilize example code: Leverage the provided code snippets for PDF compression and barcode reading to jumpstart your integration.
- Validate inputs: Always check your input parameters for correctness before making API calls to avoid unnecessary errors.
- Test with sample data: Run your automations using test PDFs and images to ensure everything works smoothly before going live.
- Monitor API usage: Keep an eye on your API calls to avoid hitting rate limits, and implement caching where appropriate.
