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.
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.
