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.
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.
Relevance AI gives you access to Cloudlayer's real-time data integration 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 Relevance AI account
- An Airtable account with access to the base and table you'd like to use
- Authorization (you'll connect securely using OAuth—no sensitive info stored manually)
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 0CodeKit + Relevance AI integration without writing code:
- Start with a clear setup: Ensure your 0CodeKit account is properly configured with the necessary OAuth credentials and permissions.
- Utilize example code: Leverage the provided code snippets for PDF compression and barcode reading to jumpstart your integration.
- Validate inputs: Always check your input parameters for correctness before making API calls to avoid unnecessary errors.
- Test with sample data: Run your automations using test PDFs and images to ensure everything works smoothly before going live.
- Monitor API usage: Keep an eye on your API calls to avoid hitting rate limits, and implement caching where appropriate.
