LLM cost observability · AI FinOps
Owlmeter unifies LLM spend across OpenAI, Anthropic, Bedrock, and Gemini — attributed by model, project, and team, with honest estimates and spike alerts. Pull-only, so it never touches your traffic.
Free to start · no credit card · read-only keys.
Every vendor has its own console, format, and billing delay. There's no single number you can trust.
You get an invoice, not an answer to which model, project, or team drove the cost.
A runaway job or a prompt change quietly compounds — and lands on next month's bill.
Spend and usage from OpenAI, Anthropic, AWS Bedrock, and Google Gemini — unified in one honest view.
Break spend down by model, project, team, region, and day. Know what drove the bill, not just the total.
Real invoiced dollars where providers expose them; token-based estimates elsewhere — always badged, with a reconciliation ratio.
A daily Slack digest plus spike, budget, and forecast alerts that tell you what changed — model, project, or prompt.
Read-only keys, encrypted at rest, never in your request path. No proxy, no SDK. A key can't affect production.
Budgets, chargeback by team, and month-end forecasts — the cost controls finance and platform teams actually need.
Read-only admin keys and cloud billing — Bedrock via Cost Explorer, Gemini via Cloud Monitoring. Pull-only: no proxy, no SDK, never in your request path.
Every provider's spend and usage in one schema — by model, project, region, and day.
A daily Slack digest, plus spike and budget alerts that tell you what changed — not just that something did.
The difference
We show real invoiced dollars wherever the provider exposes them. Where they can't split finely — per model, per hour, or usage-only providers — we estimate from tokens × prices, and always badge it. A reconciliation ratio shows how closely estimates track your real bill. Nothing is ever silently mixed.
| Provider consoles | Spreadsheets | Owlmeter | |
|---|---|---|---|
| All providers in one view | ✕ | manual | ✓ |
| Attribution by model / project / team | limited | manual | ✓ |
| Invoice + estimated, badged | ✕ | ✕ | ✓ |
| Spike, budget & forecast alerts | ✕ | ✕ | ✓ |
| Pull-only — no request-path risk | n/a | n/a | ✓ |
LLM cost observability is the practice of tracking, attributing, and forecasting spend on large language models across every provider — by model, project, and team — so you can see exactly what your AI costs and catch overspend early. Owlmeter provides this for OpenAI, Anthropic, AWS Bedrock, and Google Gemini.
Owlmeter pulls spend and usage from each provider's admin and billing APIs (Cost Explorer for Bedrock, Cloud Monitoring for Gemini) on a schedule, normalizes it into one schema, and serves dashboards and alerts. It is pull-only: read-only keys, never in your request path, no SDK or proxy.
No. Owlmeter is pull-only — it never sits between your application and the provider. There is zero added latency and zero request-path risk.
OpenAI, Anthropic, AWS Bedrock, and Google Gemini today, with more providers planned.
Invoice cost is the real dollar amount from a provider's billing API. Where a provider can't split cost finely — per model, per hour, or usage-only providers like Gemini — Owlmeter estimates cost from token usage times published prices, and always badges it as an estimate. A reconciliation ratio shows how closely estimates track your real invoice.
Provider consoles show one provider, with limited attribution and no cross-provider view, estimation, or alerting. Owlmeter unifies all your providers, attributes spend by model, project, and team, badges estimates honestly, and alerts you to spikes and budget breaches.
Keys are read-only, encrypted at rest, and only ever read spend and usage. AWS Bedrock uses STS assume-role, so no long-lived AWS secret is stored. Because Owlmeter is pull-only, a key can never affect your production traffic.
Owlmeter is in early access. Play with the live demo now, or join the waitlist and we'll bring you in.
Free to start when you're in — no credit card. Read-only keys, encrypted.
