Your whole stack, one number.
Cloud and AI spend in a single daily signal, so nobody adds up invoices by hand before a board meeting.
- 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 Cloud + AI Cost Monitoring?
AWS, GCP, Azure, Snowflake, Vercel, ClickHouse Cloud, OpenAI, Anthropic, Claude, Cursor, GitHub, Hugging Face, Grok (xAI), and Twilio — connected with read-only credentials or usage ingest. Total spend, daily signals, anomaly detection, and pace-to-forecast in one place. No more pulling numbers from five portals before the board meeting.
Why is this spend hard to control?
01
Cloud and AI spend live in completely different tools. AWS Cost Explorer, the OpenAI usage page, GitHub billing — each portal shows a slice of the bill, never the total. Your board sees one number; you have no easy way to produce it.
02
Board and CFO reporting requires manual aggregation from six or more sources. By the time you have a clean number it is Tuesday and the Monday review already happened.
03
Trends across the stack are invisible until something goes wrong. "Did OpenAI double? Did Actions cause the spike?" Without a unified view, you discover the answer at invoice time.
What does StackSpend show?
Every provider, every account, one number.
Connect every account separately and StackSpend does the aggregation you do by hand today: one figure for the estate, broken down by provider, account, service and project. Ask what the company spent yesterday and answer it without opening a console.
How it worksProvider line items, in language finance recognises.
Every line item lands in a P&L bucket automatically. A lookup handles the services we know and an LLM only sees the ones nobody has mapped, so classification improves with use instead of needing maintenance.
How it worksSee this running against your own bill by tomorrow morning.
Read-only · 5 minutes per provider
Who is this for?
- CTOs and platform leads who need a single number for total technology spend — cloud plus AI — without building a data pipeline.
- Engineering managers running teams across AWS and multiple AI providers who need to track and explain each component of the bill.
- Finance and CFOs evaluating whether cloud and AI costs are being actively controlled or just discovered retrospectively each month.
What's included?
- One dashboard across cloud and data infrastructure (AWS, GCP, Azure, Snowflake, Vercel, ClickHouse Cloud) and AI (OpenAI, Anthropic, Claude, Cursor, Hugging Face, Grok (xAI)) with a combined total — the number your board actually cares about.
- Daily Slack or email signal: green, amber, or red. Anomaly detection fires the day a provider spikes, not at month-end invoice. Webhook delivery for incident workflow integration.
- Pace-to-forecast across the full stack. See where the month will end before it does. Budget tracking per provider or total.
What we track
- AWS, GCP, Azure, Snowflake, Vercel, ClickHouse Cloud (cloud and data infrastructure)
- OpenAI, Anthropic, Claude, Cursor, Hugging Face, and Grok (xAI)
- GitHub (Actions, Copilot, Codespaces)
- Twilio (SMS, voice, Verify)
- Total spend + breakdown by provider/category
- 90 days history
- Daily forecasts
What are the most common cost triggers?
- AI inference spend doubles during a product launch while cloud infrastructure scales in parallel
- A developer experiment using Claude runs unchecked over a weekend and goes unnoticed
- Migrating from one AI model to another changes cost by 3× without anyone flagging it
- CI/CD minutes spike from a broken workflow the same week as a cloud cost anomaly
Why teams outgrow the native billing consoles
Native tools are built for investigation. StackSpend is built for prevention.
Provider-native dashboards (Cost Explorer, OpenAI usage, etc.)
- Cloud and AI spend live in completely different tools — no unified total exists
- Board reporting requires manually pulling numbers from 5+ sources
- No cross-stack anomaly detection — a spike in one provider does not trigger an alert in another
- Trends across the full technology stack are invisible without a spreadsheet
StackSpend
- One dashboard for cloud and AI spend — the total your board actually cares about
- Daily signal across the entire stack: cloud, AI APIs, dev tools, communications
- Cross-stack anomaly detection and unified forecasting
- Board-ready total technology spend without manual aggregation
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.
Cloud + AI Cost Monitoring, answered
How do I produce one combined cloud and AI spend number for the board?
StackSpend connects AWS, GCP, Azure, Snowflake, Vercel, ClickHouse Cloud, OpenAI, Anthropic, Claude, Cursor, GitHub, Hugging Face, Grok (xAI), and Twilio into one dashboard with a combined total — the number your board actually cares about. No more pulling slices from five portals before the meeting: you get the total, a daily green/amber/red signal, anomaly alerts, and pace-to-forecast in one place.
What providers does StackSpend support for unified cloud and AI monitoring?
StackSpend connects to AWS (Cost Explorer), GCP (BigQuery billing export), Azure (Cost Management), Snowflake (organization usage billing views), Vercel (FOCUS billing charges), ClickHouse Cloud (Usage Cost API), OpenAI, Anthropic, Claude, Cursor, GitHub, Hugging Face, Grok (xAI), and Twilio. All cost data is normalized into a single view with a combined total.
How does StackSpend differ from AWS Cost Explorer or OpenAI usage dashboards?
Native dashboards are investigation tools — you log in, look at one provider, and leave. StackSpend is a monitoring layer: daily signals delivered to Slack or email, anomaly detection that fires the day a provider spikes, and a unified total across cloud and AI that no single provider dashboard can show.
Can I get board-ready cloud and AI cost reporting from StackSpend?
Yes. StackSpend shows total technology spend across all connected providers in one dashboard. You can see cost by provider, category, and time period without manually pulling from multiple sources.
How long does setup take?
Most teams can connect their first provider in under 5 minutes. Read-only credentials only — StackSpend never modifies your infrastructure or billing settings. 90 days of history is backfilled automatically on connect.
How does StackSpend help with AI cloud cost optimization?
AI cloud cost optimization starts with visibility: StackSpend unifies cloud and AI spend, attributes it by provider, service, and model, and flags anomalies and pace-to-forecast — so teams can see which workloads, models, or services to optimize first and confirm the change worked, instead of guessing across separate billing portals.
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.