Run AI spend like a budget, not a surprise.
Every AI provider in one view, with the forecast finance needs before it has to ask.
- 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 AI Cost Management?
StackSpend is an AI cost management platform for engineering and finance teams. It connects OpenAI, Anthropic, Claude, Cursor, Hugging Face, Grok, and cloud AI workloads, then delivers daily spend visibility, budget tracking, anomaly alerts, and pace-to-forecast — so AI cost is managed proactively instead of discovered at invoice time.
Why is this spend hard to control?
01
AI spend is fragmented across API providers, coding tools, and cloud AI services, with no single owner or number.
02
Finance needs a forecast and a budget; engineering needs model-level detail. Native dashboards give neither side what they need.
03
Without daily management, AI cost is only ever explained after the fact — never controlled before the month closes.
What does StackSpend show?
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 worksSet it once, at any scope.
Set budgets at any scope — org-wide, per provider, account, project or tag — and StackSpend watches them daily with alerts at 50, 80 and 100%. If you don't know where to start, auto-budgets seed the numbers from your own history.
Team plan and above
How it worksSee this running against your own bill by tomorrow morning.
Read-only · 5 minutes per provider
Who is this for?
- 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.
What's included?
- StackSpend brings every AI provider and AI workload into one spend-management view with a combined total and per-provider, per-model breakdown.
- Set budgets per provider and per workload, then track pace-to-forecast so finance and engineering work from the same number.
- Daily signals, anomaly alerts, and webhooks turn AI cost from a retrospective report into an actively managed line item.
What we track
- OpenAI, Anthropic, Claude, Cursor, Hugging Face, Grok (xAI)
- Cloud AI workloads (Bedrock, Vertex, Azure OpenAI via cloud billing)
- Budgets and pace-to-forecast
- Daily signals and anomaly alerts
- Cost attribution by provider and model
What are the most common cost triggers?
- A new AI feature ships and nobody owns the budget for its token spend
- Cloud AI workloads scale on Bedrock or Vertex with no cross-provider view
- AI spend crosses a board-reported threshold with no forecast warning
- Multiple teams adopt different AI tools, fragmenting total spend
Why teams outgrow the native billing consoles
Native tools are built for investigation. StackSpend is built for prevention.
Per-provider billing dashboards and spreadsheets
- No single total for AI spend across providers and workloads
- No shared budget or forecast between finance and engineering
- Manual monthly aggregation in spreadsheets
- No anomaly alerting when a provider spikes
StackSpend
- One managed view of total AI spend with budgets and forecast
- Per-provider and per-model attribution for engineering
- Daily signals and anomaly alerts instead of monthly spreadsheets
- Pace-to-forecast so AI budgets are managed before month-end
Native tools show you last month. StackSpend tells you tomorrow.
Connect read-only in about five minutes. 90 days of history loads automatically, and the first daily signal arrives tomorrow morning.
Read-only access · Flat plans, never a % of your bill · No credit card required
Live from the price engine
AI spend management starts with a moving market
| Date | Provider | Model | Change |
|---|---|---|---|
| 2026-08-01 | openai | gpt-5.6-luna | price changed (output $6.00 → $1.20/MTok) |
| 2026-08-01 | openai | gpt-5.6-terra | price changed (output $15.00 → $12.00/MTok) |
| 2026-07-19 | fireworks_ai | glm-5p2 | price changed |
| 2026-07-19 | fireworks_ai | accounts/fireworks/models/glm-5p2 | price changed |
| 2026-08-05 | gemini | gemini-robotics-er-2-preview | new model |
| 2026-08-05 | gemini | gemini-robotics-er-1.6-preview | new model |
Tracking 781 priced models. Latest change: 2026-08-01. Source: the open LLM price dataset (CC BY 4.0) — the same engine behind the LLM API pricing index.
What do you get when you connect?
- 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.
AI Cost Management, answered
What is AI cost management?
AI cost management is the practice of bringing every AI and cloud-AI cost into one view and actively controlling it with budgets, forecasting, and alerts, rather than discovering it at invoice time. It spans API providers, coding tools, and cloud AI workloads, gives finance a forecast and engineering model-level detail, and turns fragmented usage-based spend into a single managed line item.
How does StackSpend manage AI spend across every provider?
StackSpend connects OpenAI, Anthropic, Claude, Cursor, Hugging Face, and Grok plus cloud AI workloads on AWS, GCP, Azure, and Snowflake into one spend-management view with a combined total and per-provider, per-model breakdown. Connections are read-only and backfill 90 days of history, so total AI spend is visible, attributed, and trended from day one without touching your accounts.
How do I get one total for AI spend across providers and clouds?
StackSpend unifies AI spend across API providers, AI coding tools, and cloud AI workloads into a single normalized total, replacing manual monthly aggregation across separate billing dashboards and spreadsheets. It also covers AWS, GCP, Azure, Snowflake, Vercel, GitHub, Twilio, and custom providers via the FinOps FOCUS standard, so AI and its supporting infrastructure spend live in one number.
Can StackSpend forecast AI spend and alert before it goes over?
Yes. StackSpend projects month-end AI spend with pace-to-forecast and tracks it against budgets set per provider, team, or total, alerting at 50/80/100% via Slack, email, or webhook. Same-day statistical anomaly detection adds spike warnings that name the likely driver, so finance and engineering manage AI cost proactively from a shared number instead of reconciling it after the month closes.
Tomorrow morning: one number, in Slack.
Connect read-only today. 90 days of history loads automatically, and the first daily signal arrives with breakfast — green means nobody has to think about cost at all.