Know what your AI actually costs.
Every model provider in one view, with a daily signal that arrives before the invoice does.
- 5 min
- setup, per provider
- 90 days
- history, instantly
- Same-day
- anomaly alerts
- Read-only access
- 14-day free trial
- No credit card required
Daily Spend by Provider
$24,321 total
What is StackSpend for AI / LLM Cost Monitoring?
StackSpend tracks AI costs across OpenAI, Anthropic, Claude, Cursor, Hugging Face, and Grok (xAI) in one dashboard. Token-based pricing is unpredictable — a product launch, a model change, or a prompt bug can double spend in a day. Get daily spend alerts, model-level breakdown, anomaly detection, and forecast before the billing cycle closes.
Why is this spend hard to control?
01
AI bills scale with usage. OpenAI, Anthropic, Claude, Cursor—each has its own pricing model and dashboard. Token costs are hard to predict. By the time the invoice arrives, the damage is done.
02
Fragmented visibility. You know OpenAI spend. You know Anthropic spend. You might not know Cursor spend. You definitely don't know the total until you add up multiple dashboards.
03
No early warning. API costs can spike in a day—a bug, a launch, or a traffic surge. Without daily monitoring, you find out when the bill arrives.
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 worksCatch the spike the day it starts.
StackSpend learns what normal looks like per provider, account and service, then flags the day something breaks pattern, with a severity and an owner. Each one carries a lifecycle, so it gets closed.
How it worksOne message each morning. Nobody opens a billing portal.
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 running multiple AI providers who need one view instead of logging into OpenAI, Anthropic, Claude, and Cursor separately.
- Teams building AI-powered features who need to track model cost as the product scales — before token spend becomes a COGS problem.
- Finance and CTOs who need a daily signal on AI spend and a forecast before the billing cycle closes.
What's included?
- StackSpend connects to OpenAI, Anthropic, Claude, Cursor, Hugging Face, and Grok (xAI) via billing APIs and usage ingest. One view shows total AI spend and breakdown by provider and model.
- Daily spend alerts in Slack or email. Anomaly detection catches spikes the day they happen — with webhooks to push anomaly.created to your systems. Pace-to-forecast tells you where the month will end.
- Model-level visibility. See GPT-4 vs GPT-3.5, Claude vs Cursor. Understand what's driving cost.
- For teams searching for AI cost observability, the goal is simple: know which provider, model, feature, or workflow moved spend before the invoice arrives.
What we track
- OpenAI (Org ID + API key)
- Anthropic (API key)
- Claude Code (OpenTelemetry — token-based estimate)
- Cursor (Admin API)
- Hugging Face (Endpoints, Spaces, Jobs)
- Grok (xAI Management API)
- Model-level breakdown
- Daily spend and forecasts
What are the most common cost triggers?
- A new feature ships using GPT-4 when GPT-4o-mini would handle the task at a fraction of the cost
- A prompt change increases average token count by 40% and nobody notices until the invoice
- Usage scales 5× during a product launch but no one is watching the AI billing dashboard
- Embeddings are generated on every search query instead of cached, driving hidden volume
Why teams outgrow the native billing consoles
Native tools are built for investigation. StackSpend is built for prevention.
OpenAI usage page, Anthropic console, Cursor admin, per-provider dashboards
- Each provider has its own dashboard — there is no unified total
- Billing is monthly — no daily signal, no early warning
- No cross-provider anomaly detection or forecasting
- Model-level costs are visible per provider but never aggregated
StackSpend
- All AI providers in one dashboard with a combined total
- Daily spend signal across every connected provider
- Anomaly detection catches spikes across OpenAI, Anthropic, Claude, Cursor, and Grok (xAI) together
- Model-level breakdown visible across providers in one view
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
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 / LLM Cost Monitoring, answered
How can a startup stay on top of AI costs without hiring for it?
Connect OpenAI, Anthropic, Claude, Cursor, Hugging Face, and Grok (xAI) with read-only access in minutes — 90 days of history is backfilled instantly — and StackSpend watches token-based spend for you. Daily alerts and anomaly detection mean a launch, model change, or prompt bug that doubles spend in a day shows up the same day, so founders stay cost-aware without a finance hire or a dashboard habit.
What AI providers does StackSpend connect to?
StackSpend connects to OpenAI (Organization ID + API key), Anthropic (API key), Cursor (Admin API — Enterprise plan required), Hugging Face (organization billing token), and Grok (xAI Management API + Team ID). All providers appear in one dashboard with a combined total.
How is this different from the OpenAI or Anthropic native usage dashboards?
Native dashboards show one provider at a time and update monthly. StackSpend delivers a daily spend signal across all connected AI providers, fires anomaly detection alerts the day a spike starts, and gives you a combined total plus model-level breakdown across providers.
Can I track AI costs by model?
Yes. StackSpend shows cost broken down by provider and model — GPT-4 vs 4o-mini, Claude Haiku vs Opus, and so on. This makes it easier to see which workload is driving spend and whether the model choice is appropriate for the use case.
How long does AI cost monitoring setup take?
Most providers connect in under 5 minutes with read-only credentials. StackSpend never modifies provider settings or account configurations. 90 days of history is backfilled automatically on connect (Cursor is limited to approximately 7 days due to API retention).
How do I get visibility into AI costs across the whole company?
AI cost visibility means one view of every AI bill — API providers, coding tools, and AI services inside your cloud accounts — broken down by provider, model, and team, refreshed daily. StackSpend builds that view from read-only connections: OpenAI, Anthropic, Claude, Cursor, Hugging Face, and Grok appear beside AWS, GCP, and Azure, so shadow AI spend and provider sprawl show up instead of hiding on separate invoices.
How do I monitor cloud spending for AI workloads?
AI workloads generate cost in two places: direct AI provider bills (OpenAI, Anthropic) and cloud services running AI (Bedrock inside AWS, Vertex inside GCP, GPU instances). Monitoring only one misses the other. StackSpend connects both layers — AI providers directly, and the AWS/GCP/Azure bills where managed AI services appear — so the full cost of an AI workload is visible in one place with daily signals and anomaly alerts.
How do I monitor API usage and costs across providers?
Connect each AI provider with read-only credentials in the StackSpend dashboard. You immediately get daily spend visibility, model-level breakdown, anomaly alerts, and forecasting across all connected providers in one place instead of checking each portal separately.
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.