AI Cost Insights & Optimization

Grafient analyzes your model usage patterns and suggests cheaper alternatives within the same capability tier. For example, if you're running high-volume classification tasks on GPT-4o, we might suggest GPT-4o-mini with an estimated monthly savings figure. Every suggestion is data-driven and based on your actual usage, not generic advice.

If your cache hit rate across any provider is below 20%, Grafient flags it with an estimate of how much you could save by enabling or improving prompt caching. Caching is one of the highest-ROI optimizations for AI workloads — many teams save 30-60% on repeat queries — and this insight tells you exactly where to start.

Z-score based spike detection across a 14-day rolling window identifies statistically unusual spending days automatically. Unlike fixed-threshold alerts, anomaly detection adapts to your normal spending patterns. A $500 day might be normal for one team and a 5-sigma event for another — Grafient knows the difference.

Comprehensive trend analysis including week-over-week change tracking, growth acceleration detection, monthly cost projections based on current trajectory, idle integration flagging for integrations with zero spend, and output-to-input token ratio monitoring to detect prompt engineering inefficiencies. Every insight is designed to surface a specific, actionable optimization.