Nerv is a cutting-edge analytics platform that helps enterprises process and analyze data in real-time for better decision-making.
Enhance your data analytics with AI Agents that can automatically derive insights and trigger actions.
Nerv delivers advanced data analytics and predictive insights for enterprise decision-making. Relevance AI transforms these capabilities into intelligent AI agents that can analyze, forecast, and take action automatically.
Real-Time Insight Generation
Agents can deliver immediate analytics, enabling swift decision-making.
Predictive Trend Analysis
Agents leverage predictive modeling to forecast future trends and behaviors.
Seamless Data Integration
Agents can unify data from diverse sources for comprehensive insights.
Relevance AI gives you access to Nerv's powerful analytics 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 NERV AI account
- A Relevance AI account with access to the workspace you'd like to use
- Authorization (you'll connect securely using OAuth—no sensitive info stored manually)
Security & Reliability
The integration leverages secure OAuth authentication, ensuring only authorized workflows access your Nerv API data. Relevance AI manages API operations (like GET, POST, PUT, DELETE, PATCH) behind the scenes—handling authentication headers and request formatting automatically.
Built-in request validation and response handling ensure reliable API interactions, with support for custom headers and flexible payload structures.
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 Nerv + Relevance AI integration without writing code:
- Use proper authentication: Ensure OAuth credentials are correctly configured with read-write permissions.
- Structure API requests: Follow Nerv's API path conventions and use appropriate HTTP methods.
- Handle responses carefully: Monitor response status codes and body content for successful operations.
- Manage headers efficiently: Set custom headers when needed, but remember Authorization headers are automatic.
- Implement error handling: Test API responses and include proper fallbacks for failed requests.
