Abuse containment
Detect suspicious user clusters before runaway spend escalates.
Opsmeter.io
AI Cost & Inference Control
User-level cost ownership
Track AI cost by user
User attribution exposes which usage is productive, which is abusive, and which teams need rollout controls before cost scales.
Where teams usually miss visibility
User behavior differences are hidden in provider totals, making abuse and inefficient usage hard to isolate quickly.
Adoption quality
Separate productive users from low-signal high-cost usage patterns.
Operational handoff
Give support and product owners user-level evidence, not aggregate guesswork.
How Opsmeter tracks this dimension
Attach stable user IDs
Send user identifiers with request usage, endpoint, and environment metadata.
Normalize and group usage
Opsmeter aligns provider responses into user-level cost and token metrics.
Drill into high-cost users
Investigate top users, unknown users, and sudden cost/request increases.
User concentration snapshot
| Dimension row | Metric | Context |
|---|---|---|
| user: api-bot-42 | $640 / week | Automated loop with repeated retries. |
| user cohort: trial | $0.21 / request | Healthy exploration baseline. |
| unknown users | 4.8% of spend | Identity gaps impacting ownership quality. |
Operationalize this attribution model
Start with one endpoint, then expand attribution coverage by tenant, user, and workflow.