Mezmo is a leading observability platform that helps organizations gain real-time insights into their systems and applications.
Enhance your log management with AI Agents that can automatically analyze data, respond to incidents, and drive automated workflows.


Mezmo provides real-time log analysis and monitoring capabilities. Relevance AI transforms this data into intelligent actions through AI Agents that can analyze, respond, and automate based on system events.
Real-time Insight Generation
The agent can instantly analyze log data to provide actionable insights.
Enhanced Predictive Analytics
The agent leverages historical data to forecast potential system issues.
Proactive Compliance Monitoring
The agent continuously checks for compliance violations in real-time.
Relevance AI gives you access to Mezmo's observability and log management capabilities within your AI-powered 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 Mezmo account
- A Relevance AI account with access to your project settings
- Authorization (you'll connect securely using API keys—no sensitive info stored manually)
Security & Reliability
The integration uses secure OAuth authentication, ensuring only authorized workflows access your Mezmo logging data. Relevance AI handles API operations through Mezmo's endpoints seamlessly—managing authentication headers and request formatting automatically.
Built-in request validation and response handling ensure reliable data streaming between your applications and Mezmo's logging platform.
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.