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.
Best Practices for Non-Technical Users
To get the most out of the Mezmo + Relevance AI integration without writing code:
- Configure API permissions: Ensure proper OAuth setup with appropriate read-write access levels.
- Use consistent endpoints: Maintain organized API paths and standardized HTTP methods.
- Structure requests properly: Format request bodies according to Mezmo's API specifications.
- Handle responses effectively: Monitor response status codes and parse returned data carefully.
- Implement error handling: Set up proper error catching and response validation for API calls.
