Concentration
Total spend, cost per request, provider and model mix, workload concentration, and period totals visible in the file.
Free local AI spend analysis
Analyze a standard CSV export in your browser. See spend concentration, workload attribution, cost per request, period totals, and the measurement gaps blocking a defensible optimization decision.
02 / Bring a usage export
Use the standard Snapshot CSV format. Each row can represent one request or an aggregate for a day, model, provider, or workload.
Required: date, provider, model, cost_usd
Recommended: workload, requests, input_tokens, output_tokens, reasoning_tokens, cached_input_tokens, retries, errors, latency_ms
Use the standard Snapshot CSV format. Maximum file size: 10 MB.
Download illustrative templateYour file is processed locally and is not uploaded to this site.
What the snapshot produces
The free analysis stays within the evidence in the export. It helps you identify where spend is concentrated and whether the data is ready for a workload-level decision.
Total spend, cost per request, provider and model mix, workload concentration, and period totals visible in the file.
The share of spending connected to a named workload and the fields still needed to join cost to production behavior.
A transparent, unvalidated file-coverage heuristic and a short list of questions to resolve before changing a model or architecture.
Free baseline / Proprietary depth
The public Snapshot tells you what the export supports. A private diagnostic joins spend to traces, quality, pricing, and business outcomes before it recommends a keep, optimize, route, or migrate decision.
Runs in the browser. No account, credentials, or file upload.
Used privately during a client diagnostic; not exposed as a public SaaS product.
The Snapshot cannot measure task quality, explain trace-level fan-out, apply private contract pricing, or prove that another model will preserve outcomes. Those require production traces, representative evaluations, and business-outcome data.