Every endpoint, every key, on watch.
Costs by model, endpoint, project and key, with the forecast and same-day alerts the usage page leaves out.
- 5 min
- setup, per provider
- 90 days
- history, instantly
- Same-day
- anomaly alerts
- Read-only access
- 14-day free trial
- No credit card required
Spend vs Budget
Forecast $45,000 this month
What is StackSpend for OpenAI API?
StackSpend monitors OpenAI API costs by model, endpoint, project, and API key. It ties input and output tokens to spend, breaks cost down per model (GPT-4o, GPT-4.1, o-series, embeddings), and fires anomaly alerts when the token/request ratio or model mix shifts — read-only, with your Organization ID and API key. StackSpend connects AWS, GCP (Google Cloud), Azure, Vercel, OpenAI, Anthropic, Claude, Cursor, GitHub, Hugging Face, Twilio, Grok (xAI), Snowflake, and ClickHouse Cloud.
Why is OpenAI API spend hard to control?
01
The native OpenAI usage dashboard reports a monthly total with limited attribution. Tying API spend to a specific model, endpoint, project, or key takes manual work.
02
API cost moves with token volume, not requests. A prompt change that grows tokens-per-request can raise the bill with no traffic change — and the dashboard will not flag it.
03
Developers need API-level detail (per model, per endpoint) that finance-oriented billing views do not surface.
What does StackSpend show for OpenAI API?
Every model you run, in one lens.
Usage by base model, project and user, in tokens and in API-equivalent value. Estimated and billed usage stay separate, so the numbers never double-count and never pretend to be your invoice.
Business plan
How it worksEvery dollar has an owner.
Auto-tagging rules label costs as they are ingested, matching provider, account, service and project patterns in priority order. By the time someone asks who owns the spend, the answer is already on the data — filterable and groupable in the explorer.
Team plan and above
How it worksSee this running against your own OpenAI API bill by tomorrow morning.
Read-only · 5 minutes per provider
Who should use StackSpend for OpenAI API?
- Product and engineering teams that need model-level visibility before AI bills surprise them.
- Buyers consolidating OpenAI, Anthropic, Claude, Cursor, or open-model spend into one operating view.
- Teams that need alerts and forecasting, not just retrospective usage dashboards.
Evaluation checklist
- 01Start a trialOpen a StackSpend workspace with no credit card required.
- 02Connect with read-only accessUse the setup guide to connect the provider or workflow with the minimum permissions needed.
- 03Review the first 90 daysCheck history, alerts, anomalies, and forecast so you can decide whether the workflow is worth adopting.
What's included?
- StackSpend connects with your OpenAI Organization ID and API key (read-only) and breaks API spend down by model, endpoint, and project.
- Input tokens, output tokens, requests, and tokens-per-request are tied directly to cost so you can see exactly what is driving the API bill.
- A daily signal and anomaly detection flag model-routing changes and token growth the day they happen, not at invoice time.
Exactly what we track
- API cost by model and endpoint
- Input/output tokens and tokens-per-request
- Cost by project and API key
- Daily signal and anomaly alerts
- 90 days of history
What causes OpenAI API costs to spike?
- A feature silently routes to gpt-4o instead of gpt-4o-mini, raising per-request cost 10×
- A prompt change adds context and grows tokens-per-request across a high-traffic endpoint
- An embeddings backfill runs against the full corpus through the API
- Retries and background agents repeat API calls without anyone tracking request volume
Why do teams move beyond native OpenAI API billing?
OpenAI usage dashboard is built for investigation. StackSpend is built for prevention.
OpenAI usage dashboard
- Monthly total with limited per-model and per-endpoint attribution
- No daily signal — you only see it when you log in
- No anomaly detection on token/request ratio or model mix
- No combined view with your other AI and cloud providers
StackSpend
- API cost broken down by model, endpoint, project, and key
- Token volume tied to cost with tokens-per-request tracking
- Daily signal and same-day anomaly alerts
- OpenAI API spend in one view with the rest of your stack
OpenAI usage dashboard shows you last month. StackSpend tells you tomorrow.
Read-only credentials, 90 days of OpenAI API cost history loaded automatically, and a daily signal from day one.
Read-only access · Flat plans, never a % of your bill · No credit card required
What do you get when you connect OpenAI API?
- Setup time
- Most teams can connect and validate setup in about 5-10 minutes.
- Access model
- Read-only credentials only. StackSpend does not modify provider resources or billing settings.
- Signals
- Daily Slack or email updates, anomaly alerts, and budget tracking in one workflow.
- History and forecast
- Historical spend context plus pace-to-forecast so overruns are visible before month-end.
OpenAI API cost monitoring, answered
How do I track OpenAI API costs by model, endpoint, project, and key?
StackSpend connects read-only with your OpenAI Organization ID and API key and breaks API spend down by model (GPT-4o, GPT-4.1, o-series, embeddings), endpoint, project, and key. It ties input tokens, output tokens, and tokens-per-request directly to cost, so you see exactly what is driving the API bill — with 90 days of history backfilled on connect.
How do I connect the OpenAI API to StackSpend?
Add your OpenAI Organization ID and an Admin API key in StackSpend. The connection is read-only and never writes to your OpenAI account. Setup takes about five minutes, 90 days of history is backfilled automatically, and daily cost signals and anomaly alerts start immediately across every model and project on the org.
Why did my OpenAI API bill jump when traffic did not?
OpenAI API cost moves with token volume, not request count, so a prompt change that grows tokens-per-request, a silent route from gpt-4o-mini to gpt-4o, an embeddings backfill, or a retry loop can raise the bill with flat traffic. StackSpend fires same-day anomaly alerts when the token/request ratio or model mix shifts, and names the likely driver instead of leaving it for the invoice.
How do I work out my OpenAI API cost per feature or customer?
StackSpend breaks API spend down by model, endpoint, project, and key, then lets you tag it to a team, product, feature, or customer to produce cost-per-feature, cost-per-customer, and cost-per-request. With input and output tokens tied to cost, your OpenAI API bill becomes AI COGS and unit economics you can track daily rather than reconstruct after the fact.
Tomorrow morning: your OpenAI API number, in Slack.
Connect OpenAI API read-only today. 90 days of history loads automatically, and the first daily signal arrives with breakfast.