Integrations

Supercharge Aryn with Relevance AI

Aryn is a cutting-edge platform that streamlines data management and analytics for enterprises without requiring coding expertise.

Enhance your data capabilities with AI agents that can derive actionable insights and automate sophisticated workflows.

Give your AI Agents Aryn Superpowers

Aryn delivers enterprise-grade data management and analytics through an intuitive interface. Relevance AI transforms this data infrastructure into intelligent action with AI agents that can analyze, predict, and automate complex processes.

Data-Driven Insights

Agents leverage real-time analytics for informed decision-making.

Personalized Customer Interactions

Agents analyze customer data to deliver tailored support experiences.

Dynamic Strategy Optimization

Agents adjust marketing strategies in real-time based on performance data.

Tools

Equip AI Agents with the Aryn Tools they need

Relevance AI gives you access to Aryn'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 Aryn data. Relevance AI handles API operations through the Aryn cloud platform—managing authentication headers and request formatting automatically.

Built-in request validation and response handling ensure your API calls execute reliably across all supported HTTP methods.

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 Aryn + Relevance AI integration without writing code:
  • Configure API endpoints properly: Ensure correct base URL and endpoint paths for Aryn Cloud.
  • Manage authentication: Keep OAuth tokens secure and regularly verify account permissions.
  • Structure requests carefully: Use appropriate HTTP methods and format JSON payloads correctly.
  • Handle responses effectively: Monitor response status codes and parse returned data appropriately.
  • Implement error handling: Set up proper error catching and retries for failed API calls.