Top cost drivers
- gpt-4o$2.046 · medium confidence
- checkout.ai_summary$0.917 · high latency
- summary prompt$0.540 · high output tokens
Opsmeter.io
AI Cost & Inference Control
AI cost control
Prevent LLM bill shock before month-end.
Find the exact deploy, endpoint, tenant, or prompt that changed your AI bill, then move from diagnosis to action.
Investigate cost spikes, compare prompt regressions, and track budget posture in one decision flow.
No proxy. Direct ingest or optional SDKs.
No proxy requireddirect ingest path
Prompt impact compareregression-ready workflow
Weekly executive reportingleadership-ready summaries
Current vs baseline
Daily drift+$2.455 +28.9%
Above the stable 7-day run rate after the latest prompt rollout.
Budget posture
Trigger armedWarning zone
$13.50 current / $12.00 trigger
Prompt impact compare
summarizer_v3+$1.09
alerts_v3+$0.52
invoice_v2+$0.31
Investigate Spike
Find the exact cost driver before spend compounds.
Read root-cause guidePrompt Impact Compare
Catch expensive prompt regressions before broad rollout.
See compare proofAlerts Inbox
Review warnings and exceeded thresholds with source context.
View alert modelWeekly Executive Reporting
Share spend posture snapshots with leadership every week.
See reporting plansDeveloper experience
Implement in minutes. Keep one schema as you scale.
Start with direct ingest in minutes, then standardize through SDKs only where your stack needs it.
No proxy required. Direct ingest is production-ready today.
Direct ingest example
const externalRequestId = requestId; // keep same ID on retries
await fetch('https://api.opsmeter.io/v1/ingest/llm-request', {
method: 'POST',
headers: { 'Content-Type': 'application/json', 'X-API-Key': OPSMETER_API_KEY },
body: JSON.stringify({
externalRequestId, provider: 'openai', model: 'gpt-4o-mini', promptVersion: 'summarizer_v3',
endpointTag: 'checkout.summary', inputTokens: 820, outputTokens: 204, totalTokens: 1024,
latencyMs: 812, status: 'success', dataMode: 'real', environment: 'prod'
})
});Operational workflow
From ingest to containment in one workflow
Keep implementation simple, then move every anomaly into an action-ready decision loop.
LLM callUsage mappingOpsmeter.io ingestInvestigate + control
Detect
Spot cost deltas before month-end surprises.
Diagnose
Trace the exact endpoint, prompt, model, and tenant change.
Decide
Act with budget posture and recommended next actions.
Why Opsmeter.io
Root-cause attribution built for operational control
Opsmeter.io connects every cost delta to the exact deploy, endpoint, tenant, and prompt change so teams can investigate, contain, and report in one workflow.
Decision-ready attribution
Pinpoint the exact production change behind spend increases, not just totals.
Regression containment
Catch expensive prompt or model regressions early and route teams to corrective actions.
Budget posture
Monitor warning and exceeded thresholds with clear thresholds and current spend context.
Executive reporting
Turn telemetry into weekly summaries leadership can review in minutes.
Buyer fit
Built for teams accountable for AI spend outcomes
Engineering leaders
Reduce expensive deploy regressions by linking spend deltas to exact technical causes.
Finance and founders
Prevent budget shock with a clear view of where cost growth started and how to contain it.
Platform and operations
Run one telemetry workflow for cost, latency posture, and operational follow-up.
Security and trust
Control AI spend without sending sensitive payloads
Use metadata-only telemetry, keep prompt bodies out of ingest, and operate with visible retention controls.
Metadata-only ingest
Track tokens, latency, model, and outcome without requiring prompt body storage.
No prompt body dependency
Cost attribution remains accurate without storing raw request content.
Visible retention controls
Retention windows are explicit by data type and plan so procurement can review boundaries quickly.
Final step
Choose your next move
Start with a live demo path, then compare alternatives if you need a deeper evaluation.