Opsmeter.io
AI Cost & Inference Control
OpenAI cost tracking
OpenAI cost tracking
Provider totals do not explain who caused the bill. Opsmeter maps OpenAI usage into endpoint, tenant, and user ownership so teams can contain drift before invoice week.
Where teams usually miss visibility
Most teams can read OpenAI account totals, but cannot explain which endpoint, tenant, or release pushed cost up.
Margin clarity by customer
Separate high-growth tenants from margin-draining tenants before finance reviews.
Faster incident triage
Move from total spend spikes to one owning endpoint and prompt version in minutes.
Release-safe budgeting
Tie budget warnings to real OpenAI request context, not only monthly aggregate curves.
How Opsmeter tracks this dimension
Send OpenAI usage with stable request IDs
Ingest input/output token usage with endpointTag, promptVersion, tenant, and user identifiers.
Normalize telemetry into one cost schema
Opsmeter maps OpenAI rows into a queryable request model that is consistent across environments.
Group and drill down by ownership
Use Top Endpoints, Top Users, and Prompt Versions to isolate what changed and who should act.
OpenAI ownership snapshot
| Dimension row | Metric | Context |
|---|---|---|
| checkout.summary endpoint | $1,920 / month | 31% of OpenAI spend from one API path. |
| tenant: enterprise-alpha | $1,140 / month | High usage concentration from one account cluster. |
| promptVersion summarizer_v4 | +22% cost/request | Regression after rollout compared with baseline. |
Operationalize this attribution model
Use one endpoint first, then expand attribution coverage tenant by tenant.
FAQ
Can I track OpenAI cost without a gateway rewrite?
Yes. Opsmeter supports no-proxy ingest so you can keep existing app network paths.
Can I isolate prompt regressions in OpenAI spend?
Yes. Prompt version views show cost/request and token/request shifts between baseline and current windows.