Render is a cloud platform that simplifies the deployment and management of applications, websites, and APIs.
Enhance your cloud infrastructure with AI agents that can automate operations and deliver intelligent interactions at scale.
Render provides powerful cloud infrastructure for deploying and scaling applications. Relevance AI enhances this with intelligent AI agents that can automate complex processes and deliver sophisticated user interactions.
Dynamic Scalability
The agent can automatically adjust resources based on user demand, ensuring optimal performance.
Enhanced Security
Automatic SSL certificates ensure secure connections for all interactions with the agent.
Real-Time Analytics
Access to real-time data processing allows for immediate insights and adjustments to agent behavior.
Relevance AI gives you access to Render's cloud platform capabilities within your AI agent workflows.
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 integration uses secure OAuth authentication, ensuring only authorized workflows access your Render data. Relevance AI handles API operations (like GET, POST, PUT, DELETE, PATCH) in the background—so you don't have to worry about authentication, formatting, or API limits.
Built-in validation and path handling ensure your API requests run smoothly, with automatic header management and response parsing.
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.
Best Practices for Non-Technical Users
To get the most out of the Render + Relevance AI integration without writing code:
- Use proper authentication: Ensure your Render OAuth credentials are correctly configured and permissions are set.
- Follow API best practices: Use appropriate HTTP methods (GET for retrieval, POST for creation, etc.) consistently.
- Structure requests carefully: Include all required parameters in the API path and maintain clean request bodies.
- Monitor response codes: Check status codes and response bodies to ensure successful API operations.
- Implement error handling: Set up proper error catching and retries for failed API calls.
