Datagma is a data integration and management platform that streamlines the process of connecting disparate data sources.
Enhance your data workflows with AI Agents that can automatically process, analyze, and act on your integrated data.
Datagma excels at connecting and managing diverse data sources. Relevance AI transforms this unified data ecosystem into intelligent AI Agents that can automate complex data workflows and deliver actionable insights.
Real-time Insights
Delivers up-to-the-minute analytics for informed decision-making.
Automated Workflows
Streamlines repetitive tasks, freeing up resources for strategic initiatives.
Enhanced Data Quality
Ensures high accuracy and reliability of data for analytics and reporting.
Relevance AI gives you access to Datagma's data integration capabilities within your AI-powered 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 Datagma 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 leverages secure OAuth authentication through Datagma's gateway, ensuring authorized API access and data protection. Relevance AI manages request methods and data transformations automatically—handling authentication headers, request formatting, and response processing seamlessly.
Built-in schema validation and error handling ensure reliable API interactions across all supported endpoints.
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 Datagma + Relevance AI integration without writing code:
- Configure API endpoints properly: Ensure correct path formatting and authentication settings.
- Validate request methods: Use appropriate HTTP methods (GET, POST, PUT) for your specific needs.
- Structure data carefully: Format request bodies according to Datagma's API specifications.
- Monitor responses: Check status codes and response bodies to ensure successful data transfer.
- Handle authorization: Keep OAuth credentials updated and manage permissions appropriately.
