Manage AI spend across every provider — cloud AI and API costs — with daily visibility, budgets, and forecasting in one platform.
StackSpend is an AI spend 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.
See spend against budget, every day.
The same burn-up view your dashboard shows: cumulative spend against budget, with a forecast tail so you know where the month ends before it does.
Why this spend is hard to control
AI spend is fragmented across API providers, coding tools, and cloud AI services, with no single owner or number.
Finance needs a forecast and a budget; engineering needs model-level detail. Native dashboards give neither side what they need.
Without daily management, AI cost is only ever explained after the fact — never controlled before the month closes.
What StackSpend shows
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
Common cost triggers
Real scenarios that cause spend to spike — often silently.
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
Per-provider billing dashboards and spreadsheets
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
Who this is 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 you get when you connect
Most teams can connect and validate setup in about 5-10 minutes.
Read-only credentials only. StackSpend does not modify provider resources or billing settings.
Daily Slack or email updates, anomaly alerts, and budget tracking in one workflow.
Historical spend context plus pace-to-forecast so overruns are visible before month-end.
Frequently asked
Which providers does StackSpend support for ai spend management?
How is StackSpend different from native billing dashboards for ai spend management?
How long does ai spend management setup take?
Can I get alerts when ai spend management costs spike?
Start seeing your full stack spend.
Connect ai spend management in under 5 minutes. 90 days of history loaded automatically. Daily signals from day one.