Trend Clarity
Track daily and monthly spend trajectories and detect unusual acceleration early.
Back to FeaturesCost Analytics
Move from cost visibility to cost decisions
Understand where spend comes from, what changed, and which levers reduce cost without hurting output quality.
Provider Mix
See which providers dominate cost and rebalance workloads strategically.
Unit Economics
Measure cost per request and per 1K tokens across projects.
Analytics Board Demo
30-Day Spend Trend
+18.5% MoM
Provider Split
OpenAI52%
Anthropic31%
Gemini17%
Avg Cost per 1K Tokens: $0.007
What teams optimize with this data
Prompt efficiency
Reduce token waste by identifying oversized prompts and repetitive context payloads.
Model routing
Route low-risk tasks to cheaper models and reserve premium models for high-value workloads.
Budget pacing
Forecast end-of-month spend and adjust rate limits before crossing internal thresholds.
Anomaly response
Detect unexpected provider shifts or request surges and respond before costs compound.
Case Study Snapshot
"We cut AI spend 23% in six weeks without hurting output quality."
By tracking cost-per-request and provider split, the team moved low-risk traffic to cheaper models and reduced context size.
-23% total monthly spend
+7% response latency improvement
0 production incident increase