Costbase
Summary
Your AI invoice arrives as one lump sum from each provider — no breakdown by app, no signal on which product is burning the budget.
Costbase pulls usage data directly from each provider's admin reporting APIs — no traffic rerouting, no SDK changes, no proxy sitting in your production path. You paste one admin key per provider, and the dashboard surfaces spend by app, model, and key across OpenAI, Anthropic, xAI, OpenRouter, and ElevenLabs. Whisper transcription, embeddings, and text-to-speech finally appear alongside chat completions instead of disappearing into a miscellaneous line. Data syncs hourly in the background. The ceiling appears when you need request-level detail — Costbase describes itself as a cost-visibility tool, not a request debugger, and that distinction matters when you're chasing a specific API call gone wrong.
Bottom line: Pick this when your finance team is asking which of your three AI products is eating margin — skip it when you need per-request traces or the ability to set spend alerts before the invoice arrives.
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Pros
Sign in to edit- Pull-based architecture reads from provider billing APIs without touching your production traffic, so adding cost visibility introduces zero latency risk and no new dependency in your critical path.
- Single admin key per provider automatically discovers every API key in the account and backfills a full year of history, so you get a complete cost picture without manually registering each key.
- Tracks Whisper, embeddings, images, and text-to-speech alongside chat completions, so audio and embedding spend stops disappearing into an unattributed line on the invoice.
- Covers multiple provider accounts on the same provider as separate connections, so teams running isolated accounts per environment or client can consolidate without merging credentials.
- Marks each cost figure as provider-reported or computed from a pricing table, so you know exactly which numbers to trust when reconciling against an invoice.
Cons
Sign in to edit- There is no request-level detail — the tool surfaces aggregate spend by key, not individual API calls. Teams debugging a cost spike caused by a specific runaway workflow have to cross-reference their own application logs; Costbase cannot tell them which request triggered it.
- xAI spend is reported at the account level only, not per key, because xAI's own reporting API does not expose key-level data. Teams running multiple xAI-powered apps under one account cannot separate costs between them without creating separate provider accounts.
- No API and no data export path means cost figures live only inside the Costbase dashboard. Teams whose finance or data engineering workflows require feeding AI spend into a warehouse, a Slack alert, or a budgeting tool hit a hard stop — at which point they either run a parallel manual process or switch to a proxy-based tool that exposes a cost API despite the added production dependency.
- Self-hosting is not an option, so teams with strict data residency or compliance requirements that prohibit sending API keys to third-party SaaS cannot use the product regardless of the read-only, encrypted-at-rest design.
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About
- Platforms
- Web
- API Available
- No
- Self-Hosted
- No
- Last Updated
- 2026-07-14T06:41:18.002Z
Best For
Who it's for
- AI product teams needing consolidated cost reporting
- Finance and engineering stakeholders monitoring COGS
- Users managing multiple provider accounts and keys
What it does well
- Track AI spend by application across providers
- Monitor usage of Whisper, embeddings, and other non-chat models
- Compare costs between OpenAI, Anthropic, xAI, and others in one view
- Backfill and analyze up to a year of historical API usage
Integrations
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Frequently Asked Questions
- Is Costbase free?
- Costbase has a permanent free tier alongside paid upgrades. You can keep using a baseline version indefinitely without paying.
- Is Costbase open source?
- No — Costbase is a closed-source tool. Source code is not publicly available.
- What platforms does Costbase support?
- Costbase is available on: Web.
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Curated lists that include this category
Most AI billing dashboards require you to reroute production traffic through a third-party gateway to get any cost breakdown. Costbase takes a different approach: it reads aggregate usage from each provider’s official admin reporting APIs — the same endpoints that back the providers’ own billing pages — so your request path stays untouched. The setup is four steps: connect a provider with one admin key, let the tool discover every API key in the account, rename each key to the product it powers, and read a unified chart grouped by app, provider, or model. The vendor states a full year of historical usage is backfilled on connection.
The defining architectural choice is the pull-don’t-proxy model. Proxy-based cost tools insert themselves into your critical path — added latency, a new dependency, and your prompts transiting someone else’s infrastructure. Costbase operates out-of-band: it can be slow or unavailable and your production apps are unaffected. Admin keys are used only for read-only reporting endpoints, encrypted at rest, and never used to modify anything in your accounts.
Costbase fits teams who have already built their AI products and are now trying to understand what they actually cost to run. It covers models beyond chat completions — Whisper transcription, embeddings, images, and text-to-speech — which most proxy-based tools ignore or flatten. The gaps show up when you need granularity below the key level: xAI spend appears account-level only because xAI reports at the team scope, not the key scope. And because there is no API and no self-hosted option, teams with compliance requirements around data residency or those who need to feed cost data into their own reporting pipelines will find the tool a dead end.
Data freshness carries a built-in lag: providers publish usage with a delay of minutes to a few hours, and Costbase re-pulls the last three days every hour to converge on invoice-accurate figures. The vendor marks each cost figure as either provider-reported dollars or a computed estimate (tokens × a maintained pricing table), so you can see exactly which numbers are authoritative and which are approximations.