DataSet is a leading data management and analytics platform designed to help organizations efficiently collect, manage, and analyze large volumes of data.
Enhance your data workflows with AI agents that can automatically process, analyze, and act on your business data.
DataSet excels at managing and analyzing large volumes of data across organizations. Relevance AI transforms this data infrastructure into intelligent AI agents that can derive insights, automate decisions, and drive business outcomes.
Data-Driven Insights
Agents can harness real-time data analytics to deliver actionable insights.
Enhanced Predictive Capabilities
Agents utilize advanced analytics for accurate forecasting and trend analysis.
Automated Reporting Excellence
Agents can generate dynamic reports that update in real-time for stakeholders.
Relevance AI gives you access to DataSet's powerful analytics and data management 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 Dataset AI account
- A DataSet 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 leverages secure OAuth authentication, ensuring only authorized workflows access your DataSet API endpoints. Relevance AI manages HTTP methods and API operations seamlessly—handling authentication headers, request formatting, and response validation automatically.
Built-in error handling and data transformation ensure reliable API interactions across GET, POST, PUT, DELETE, and PATCH requests.
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 DataSet + Relevance AI integration without writing code:
- Configure proper authentication: Ensure OAuth credentials are correctly set up with appropriate read-write permissions.
- Structure API requests: Use clear path parameters and consistent HTTP methods for reliable data flow.
- Validate endpoints: Double-check your DataSet API endpoints match the Scalyr base URL format.
- Monitor responses: Track API response status codes to ensure successful data transmission.
- Handle headers properly: Set appropriate custom headers while remembering Authorization headers are automatic.
