AI Cost Tools
OpenAI Cost Tracker: one live spend number across OpenAI, Anthropic, and Groq
Stop reconciling separate provider dashboards by hand. Track per-model and per-user cost, catch budget overruns early, and give your team one source of truth for AI API spend.
Problem
OpenAI, Anthropic, and Groq billing views are disconnected. Teams cannot answer simple questions like "what are we spending this week?" without a spreadsheet merge.
Solution
Read-only API keys feed one live dashboard with spend by provider, model, and user plus weekly rollups to expose runaway experiments before month-end.
Outcome
Alert at 50/80/100% budget via email and webhook so engineering and finance react on the same day instead of after the invoice lands.
Built for AI-heavy teams
CTOs and platform leads
Answer spend questions instantly across every model provider your org uses.
Finance and ops visibility
Monitor budget progress without waiting for end-of-month exports or manual joins.
Experiment-friendly teams
Track which models are actually worth their cost and tune prompts with confidence.
Pricing
One plan designed for 10-50 person product teams that ship AI features every week.
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FAQ
How is spend calculated when provider APIs omit direct cost values?
The tracker prefers provider-reported cost fields. If a provider only returns token counts, it estimates cost using model pricing tables and clearly labels those rows in the dashboard data stream.
Do you send my prompts or completions anywhere?
No. The app only pulls usage and billing aggregates from provider APIs using read-only keys. It stores token, request, model, user, and cost metadata in SQLite.
Can I alert Slack or incident systems when spend crosses budget?
Yes. Add a webhook URL in the Budget Alerts panel. Alerts fire once per month for each threshold and can also be sent via email through Resend.
What does per-user tracking require?
Per-user spend appears automatically when provider usage payloads include user IDs. Teams running an internal inference proxy can forward user IDs for full cost attribution.