Integrations

Supercharge Modelry with Relevance AI

Modelry is a cutting-edge platform that enables businesses to create and deploy AI models without coding expertise.

Enhance your AI models with Relevance AI's intelligent agents to automate sophisticated workflows and drive operational efficiency.

Give your AI Agents Modelry Superpowers

Modelry simplifies AI model creation with its no-code platform. Relevance AI transforms these models into intelligent agents that can automate complex workflows and make data-driven decisions at scale.

Intelligent Workflow Orchestration

The agent can seamlessly coordinate complex tasks across multiple systems.

Dynamic Data Insights

Real-time analysis enables the agent to provide actionable insights instantly.

Automated Decision-Making

The agent leverages predictive analytics to make informed decisions autonomously.

Tools

Equip AI Agents with the Modelry Tools they need

Relevance AI gives you access to Modelry's no-code AI model development capabilities within your automated workflows and AI agents.

Security & Reliability

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

Built-in validation and response handling ensure your API calls run smoothly, with automatic error handling and response parsing.

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 Modelry + Relevance AI integration without writing code:
  • Configure API endpoints properly: Ensure correct base URL and authentication settings for Modelry API calls.
  • Validate OAuth permissions: Verify your Modelry account has the necessary read-write access levels.
  • Structure requests efficiently: Use appropriate HTTP methods and organize request bodies logically.
  • Monitor response status: Check API response codes and headers to ensure successful data transmission.
  • Handle rate limiting: Implement appropriate delays between requests to stay within API quotas.