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: it never sees your prompts and 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.
LLM cost observability across OpenAI, Anthropic, AWS Bedrock, and Google Gemini — spend attribution by model, project, and team, honest estimates, and spike alerts.
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 alerts that tell you what changed — model, project, or prompt. Budget and month-end forecast alerts are rolling out.
Owlmeter reads only spend and usage — never your prompts or responses. Read-only keys, encrypted at rest. No proxy, no SDK, never in your request path.
Attribute LLM spend by team and project, the way finance and platform teams need it — with budgets and month-end forecasts on the way.
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 — and never your prompts.
Every provider's spend and usage in one schema — by model, project, region, and day.
A daily Slack digest plus spike alerts that tell you what changed — not just that something did. Budgets and forecasts are on the way.
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 alerts + daily digest | ✕ | ✕ | ✓ |
| Pull-only — never sees prompts, 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, a daily digest, and spike alerts. It is pull-only: read-only keys, never in your request path, no SDK or proxy.
Connect read-only keys and Owlmeter pulls spend and usage from each provider — OpenAI, Anthropic (Claude), AWS Bedrock, and Google Gemini — into one normalized view. It attributes cost by model, project, and team, badges token-based estimates against invoiced dollars, and alerts you when spend spikes. Pull-only: it never sits in your request path.
Gateways and proxies sit inside your request path to route or log calls, which adds latency and a potential point of failure. Owlmeter is pull-only: it reads billing and usage data after the fact — never your prompts or responses — so a connected key can never affect production traffic. You get cross-provider cost visibility without putting anything between your app and the provider.
No. Owlmeter is pull-only — it never sits between your application and the provider, and it never sees your prompts or responses. There is zero added latency and zero request-path risk.
OpenAI API cost depends on the model and the tokens used — input and output are priced separately — so two teams on the same plan can pay very differently. Owlmeter shows your actual OpenAI spend, invoiced dollars plus per-model token estimates, so you track what you really pay rather than list prices.
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 when spend spikes.
Look for four things: one cross-provider view, attribution down to model, project, and team, honest handling of estimated versus invoiced dollars, and spike and budget alerting. A pull-only tool — one that reads billing and usage but never sits in your request path — gives you this without adding latency or a failure point. Owlmeter is built for exactly this across OpenAI, Anthropic, AWS Bedrock, and Google Gemini, with a daily digest and spike alerts today and budgets on the way.
Keys are read-only, encrypted at rest, and only ever read spend and usage — never your prompts or responses. 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.
