One dashboard for every AI bill, every provider, every model, updated daily.
AICosts.ai unifies billing and usage data from 50+ AI providers, OpenAI, Anthropic, Google Gemini, AWS Bedrock, Azure OpenAI, Vertex AI, Cohere, Fireworks, Hugging Face, Pinecone, RunwayML, and more, into one schema, and shows you total spend, per-provider breakdowns, and model-level trends on a single page. You upload billing PDFs/CSVs in our app or push usage events through our developer API. No code changes, no proxy, no request-path impact, we never connect to your provider accounts.
How it works
Add a provider
In the app, pick the provider and upload its latest billing PDF or CSV. Or, if your team has developer-API access, push usage events programmatically. Setup per provider is under 2 minutes. We never see prompts or completions.
We parse and normalize
Uploaded invoices are parsed into structured usage events; events sent to the developer API land in the same pipeline. Re-upload an updated invoice anytime to refresh.
Everything normalizes to one schema
Every event becomes (timestamp, provider, model, tokens_in, tokens_out, requests, cost_usd, environment). The dashboard rolls up daily, weekly, and monthly.
Export anywhere
CSV and JSON export for every view. Plug into your BI tool, finance workbook, or S3 bucket, we also support scheduled exports.
Use cases
Finance: month-end reconciliation
Replace the month-end spreadsheet that stitches together eight vendor invoices into a single signed-off AI-spend number.
Engineering leads: per-model cost visibility
See at a glance what Claude Opus cost this week vs Sonnet vs Haiku, and whether the mix is drifting.
Founders: runway-level AI spend awareness
Answer 'how much are we spending on AI this month' in one glance, not a chain of Slack DMs across three teams.
How AICosts.ai compares
| Feature | AICosts.ai | Other tools |
|---|---|---|
| Providers tracked | 50+ (OpenAI, Anthropic, Gemini, Bedrock, Azure, Vertex, plus 40+ more) | Typically 5–10 providers per tool |
| Inference-path impact | Zero, you upload billing data, we never sit in the request path | Proxy tools add latency to every request |
| Setup time per provider | < 2 minutes, upload a PDF/CSV or push events via our API | Often requires SDK replacement or gateway rollout |
| Historical backfill | As far back as the invoices you upload | Often starts from install date |
| Export formats | CSV + JSON on every view, scheduled S3 export | Varies, often CSV only |
Frequently Asked Questions
Does AICosts.ai sit in my inference path?+
No. You upload your billing data to us, we never connect to your provider accounts and never proxy your inference traffic. Your application code and production traffic are untouched. That's the entire design: we cannot slow down or fail your inference, because we're not in it.
How does the dashboard refresh?+
Whenever you upload a new invoice or push events through our developer API. There's no polling on our side, you control the cadence.
Can I see spend broken down by customer or feature?+
Yes, if you tag the events you push through our developer API. Any tag you include at ingestion time (customer ID, feature name, environment) becomes a filter dimension in the dashboard.
What formats do you accept?+
Vendor invoice PDFs and CSVs uploaded in the app, plus structured usage events posted to our developer API. Everything lands in the same normalized schema.
See your AI spend in one dashboard
Connect your first provider in under 2 minutes.
Start tracking your AI spendFree tier available. You upload your billing data. No changes to production.