Integrations

Supercharge Clarify with Relevance AI

Clarify is a leading data analytics and visualization platform that empowers organizations to derive meaningful insights from complex datasets.

Enhance your data-driven decision making with AI agents that can interpret and act on visual insights automatically.

Give your AI Agents Clarify Superpowers

Clarify transforms complex data into actionable insights through intuitive visualizations. Relevance AI turns those insights into intelligent actions with AI agents that can analyze, decide, and respond in real-time.

Data-Driven Insights

The agent harnesses real-time data from Clarify to deliver actionable insights instantly.

Predictive Analytics Power

Utilizes advanced predictive models to forecast trends and outcomes effectively.

Seamless Workflow Automation

Automates repetitive tasks, allowing teams to focus on strategic initiatives.

Tools

Equip AI Agents with the Clarify Tools they need

Relevance AI gives you access to Clarify's powerful data analytics and visualization capabilities within your AI agent workflows.

Security & Reliability

The integration uses secure OAuth authentication, ensuring only authorized workflows access your Clarify data. Clarify handles API operations (like GET, POST, PUT, DELETE, PATCH) in the background—so you don't have to worry about errors, formatting, or authorization headers.

Built-in validation and path handling ensure your API requests run smoothly, with automatic response parsing for different data formats.

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 Clarify + Relevance AI integration without writing code:
  • Optimize API requests: Structure your API calls efficiently with clear endpoints and parameters.
  • Use proper authentication: Ensure OAuth credentials are correctly configured and permissions are set.
  • Follow RESTful practices: Use appropriate HTTP methods (GET, POST, PUT, DELETE) for different operations.
  • Handle responses properly: Monitor status codes and implement error handling for failed requests.
  • Manage rate limits: Space out API calls and implement retry logic for better reliability.