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AI Cost & Inference Control
Endpoint cost attribution

Track AI cost by endpoint

Endpoint attribution turns AI spend into a product decision system. See which API surface drives cost and why it changed.

Where teams usually miss visibility

Feature teams see total AI usage, but cannot isolate the endpoint that caused cost-per-request degradation.

Feature accountability

Assign each spend delta to one endpoint owner.

Release regression detection

Catch endpoint cost/request spikes after model or prompt changes.

Budget control precision

Prioritize containment on the endpoint causing most variance.

How Opsmeter tracks this dimension

Tag requests with endpoint identity

Send endpointTag with request usage and environment metadata.

Aggregate by endpoint automatically

Opsmeter calculates endpoint spend, requests, and cost/request trends.

Drill into request-level driver rows

Link endpoint deltas to promptVersion, user, and tenant context.

Endpoint economics snapshot

Dimension rowMetricContext
/api/chat/support$0.064 / requestHigh output token profile after prompt revision.
/api/reports/summary$1,020 / monthVolume-heavy endpoint with stable unit cost.
/api/agent/compose+33% weekly costRegression after model tier change.

Operationalize this attribution model

Start with one endpoint, then expand attribution coverage by tenant, user, and workflow.