Unit economics clarity
See feature-level cost per request and margin exposure.
Opsmeter.io
AI Cost & Inference Control
Feature unit economics
Track AI cost by feature
Feature-level attribution connects AI usage to product decisions. Understand cost exposure before growth makes margins fragile.
Where teams usually miss visibility
Teams launch AI features fast, but cannot measure which product surfaces are profitable at scale.
Roadmap prioritization
Fund features with strong economics and fix or gate expensive ones.
Stakeholder alignment
Give product and finance one shared feature spend model.
How Opsmeter tracks this dimension
Carry feature tags in telemetry
Include feature keys with endpoint and prompt metadata on ingest.
Group spend per product surface
Opsmeter aggregates request usage into feature spend views.
Inspect top feature drivers
Review which features consume most budget and why.
Feature unit-economics snapshot
| Dimension row | Metric | Context |
|---|---|---|
| feature: support-copilot | $0.058 / request | Healthy with strong user adoption. |
| feature: invoice-extract | $0.132 / request | Higher context windows and retries inflate cost. |
| feature: drafting-assistant | $780 / month | Large absolute spend from broad rollout. |
Operationalize this attribution model
Start with one endpoint, then expand attribution coverage by tenant, user, and workflow.