Pulsetic is a leading analytics and monitoring platform that provides real-time insights into digital performance metrics.
Enhance your data-driven decision making with AI Agents that can automatically analyze trends, trigger actions, and optimize outcomes.
Pulsetic delivers real-time analytics and performance insights across digital channels. Relevance AI transforms this data into intelligent action through AI Agents that can analyze, respond, and optimize automatically.
Real-Time Adaptation
Agents can adjust strategies instantly based on live data insights.
Data-Driven Personalization
Agents leverage user behavior analytics to deliver tailored experiences.
Dynamic Campaign Optimization
Agents can modify marketing efforts in real-time for maximum impact.
Relevance AI gives you access to Pulsetic's analytics and monitoring 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 Pulsetic account
- A Relevance AI account with access to your API credentials
- Authorization (connect securely via OAuth—no manual credential storage)
Security & Reliability
The integration leverages secure OAuth authentication to ensure only authorized workflows can access your Pulsetic monitoring data. Relevance AI manages API operations seamlessly in the background while providing built-in validation for reliable uptime tracking and alert management.
Automated error handling and data formatting ensure your monitoring workflows continue running smoothly across all integrated services.
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 Pulsetic + Relevance AI integration without writing code:
- Configure API endpoints properly: Ensure correct path formatting and authentication setup.
- Optimize monitoring requests: Structure API calls efficiently for website performance tracking.
- Use appropriate HTTP methods: Choose GET for fetching data and POST for creating new monitors.
- Handle responses effectively: Implement proper error handling for status codes and responses.
- Respect rate limitations: Space out API requests to avoid hitting Pulsetic's usage limits.
