Integrations

Supercharge Cloudlayer with Relevance AI

Cloudlayer is a cloud-based data integration platform that provides seamless access to real-time data from various sources.

Transform your integrated data streams into intelligent automated workflows with AI agents that can analyze, respond, and take action in real-time.

Give your AI Agents Cloudlayer Superpowers

Cloudlayer excels at connecting and transforming data from multiple sources in real-time. Relevance AI turns that integrated data into intelligent action through AI agents that can analyze, respond, and automate complex workflows.

Real-Time Insight Generation

The agent harnesses live data streams to deliver immediate insights for informed decision-making.

Automated Workflow Optimization

Streamlines processes by automating repetitive tasks, enhancing operational efficiency.

Predictive Analytics Capability

Utilizes advanced algorithms to forecast trends and potential disruptions proactively.

Tools

Equip AI Agents with the Cloudlayer Tools they need

Relevance AI gives you access to Cloudlayer's real-time data integration capabilities within your AI agent workflows.

Security & Reliability

The integration uses secure OAuth authentication, ensuring only authorized workflows access your Cloudlayer 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 error handling ensure your API calls run smoothly, with automatic response parsing and header management.

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 Cloudlayer + Relevance AI integration without writing code:
  • Configure API authentication: Ensure proper OAuth setup and permission scopes are granted.
  • Structure API requests: Use consistent paths and methods for reliable data exchange.
  • Optimize headers: Set appropriate content types and keep authorization headers secure.
  • Monitor responses: Check status codes and response bodies for successful operations.
  • Handle rate limits: Implement appropriate delays between requests to avoid API throttling.