LLM ANALYTICS
Understand what makes users convert — or drop off
Analyze user satisfaction and identify friction points
Optimize AI product-market fit based on real feedback
Compare performance across models and versions
Make data-driven decisions about which models to use for different tasks
Explore Analytics Features
Measure what matters for LLM success
Track critical metrics to ensure your AI applications deliver consistent quality and value
•Performance Metrics
Monitor latency, throughput, and response time across models
•Comparative Analysis
Compare different models and prompt versions side by side
•Quality Metrics
Track response accuracy, relevance, and consistency over time
•Usage Patterns
Identify user behavior patterns and common request types
•Cost Analytics
Analyze token usage, API costs, and optimize your spending
•Anomaly Detection
Automatically detect unusual behavior or performance issues
Customizable dashboards for every need
From high-level overviews to detailed analysis, our dashboards provide the insights you need
Executive Dashboard
High-level overview of LLM performance, costs, and usage trends for stakeholder reporting.
Quality Monitoring Dashboard
Monitor response quality metrics, user satisfaction, and accuracy over time with detailed breakdowns.
Cost Management Dashboard
Track token usage, API costs, and identify optimization opportunities across your LLM applications.
Custom Analytics Builder
Create your own dashboards and reports with drag-and-drop interface tailored to your specific needs.
Exportable reports and real-time monitoring
