LLM cost observability · FinOps for AI

Know exactly what your AI costs.

Owlmeter pulls spend and usage from OpenAI, Anthropic, AWS Bedrock, and Google Gemini into one honest view — invoice truth, badged estimates, and spike alerts. Pull-only — it never touches your requests.

Works acrossOpenAIAnthropicAWS BedrockGoogle Gemini
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Owlmeter dashboard: spend trend, spike detection, and a provider/model/region breakdown
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Your AI spend is a black box.

Scattered across providers

Every vendor has its own console, format, and billing delay. There's no single number you can trust.

No per-model or per-project truth

You get an invoice, not an answer to which model, project, or team actually drove the cost.

Spikes you find out about late

A runaway job or a prompt change quietly compounds — and lands on next month's bill.

Connect read-only keys. See everything.

1

Connect

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.

2

Normalize

Every provider's spend and usage in one schema — by model, project, region, and day.

3

Alert

A daily Slack digest, plus spike and budget alerts that tell you what changed — not just that something did.

The difference

Invoice truth, not guesses.

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.

invoiced$6,342
est.~$786
Estimates explain ~97% of invoiced spend

See your LLM spend clearly.

Owlmeter is in early access. Try the live demo, or leave your email and we'll reach out.

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