Datarobot is a leading enterprise AI platform that automates the process of building and deploying machine learning models.
Enhance your predictive capabilities with AI agents that can leverage advanced analytics and automation.
Datarobot brings enterprise-grade machine learning and predictive analytics to organizations. Relevance AI transforms these capabilities into intelligent AI agents that can automate complex decisions and workflows at scale.
Predictive Insight Mastery
Empowers agents to leverage advanced predictive analytics for informed decision-making.
Real-Time Adaptability
Equips agents to respond dynamically to changing data and customer needs in real-time.
Enhanced Decision Support
Provides agents with data-driven insights to support strategic business decisions.
Relevance AI gives you access to Datarobot's machine learning 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 DataRobot account
- A Relevance AI account with access to your projects and datasets
- Authorization (you'll connect securely using API keys—no sensitive info stored manually)
Security & Reliability
The integration leverages DataRobot's secure OAuth authentication, enabling authorized API requests to your machine learning models and datasets. Relevance AI manages the HTTP methods and API operations seamlessly, while handling data validation and response formatting automatically.
Built-in error handling and automatic retries ensure reliable communication with DataRobot's endpoints, maintaining workflow stability across your ML operations.
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 DataRobot + Relevance AI integration without writing code:
- Configure API access properly: Ensure OAuth authentication is set up with appropriate permissions.
- Structure your requests: Use consistent endpoint paths and proper HTTP methods for each operation.
- Validate data formats: Ensure request bodies match DataRobot's expected JSON structure.
- Monitor responses: Check status codes and response bodies to confirm successful API calls.
- Handle rate limits: Space out requests appropriately to avoid hitting DataRobot's API limits.
