Ship software with cost confidence
StackSpend helps teams stay ahead of cloud and AI spend, turning forecasts, anomalies, and savings opportunities into actions where engineers already work.
No credit card required. Read-only access. Daily Slack or email delivery.
What is StackSpend?
StackSpend is a cost management platform for the modern AI engineering stack — it connects to OpenAI, Anthropic, Cursor, GitHub, Hugging Face, Grok (xAI), and the cloud it runs on: AWS, GCP (Google Cloud), Azure, Snowflake, Vercel, ClickHouse Cloud, Elastic Cloud, and Twilio. It provides unified spend visibility, daily anomaly alerts, budget forecasting, and Slack or email delivery for engineering and FinOps teams. Its AI Explorer shows LLM usage by model, project, and user across providers, and its model recommendations suggest cheaper models that match or beat the ones you use on published quality benchmarks, priced at your real token mix. Setup takes 5 minutes with read-only credentials, and 90 days of historical data loads automatically. Plans start from $29/month with a free 14-day trial that doubles as a cost health audit of your stack.
Forecast. Budget. Detect. Act. Save.
Financial discipline, built into how your engineers already work — so cloud spend stays predictable and overruns get corrected, not just explained.
Daily spend is tracked and projected forward with a confidence band.
This cycle, $4,962 of overspend was caught and avoided.Connect the providers you already use.
Track AWS, OpenAI, Snowflake, and 11 more cloud and AI providers. Start with one and expand as you grow.
per provider, read-only access
Connect in 5 minutes
Read-only credentials. AWS, OpenAI, Snowflake, and 11 more cloud and AI providers.
90 days of history, instantly
Trends, anomalies, and spend drivers — no waiting, no manual exports.
Daily cost in Slack
One message. Runway, guardrail status, alerts. Always on track.
- Read-only access
- AES-256 encryption
- Tenant isolation
- GDPR compliant
Where engineers already work.
Nothing new to adopt. Your whole stack flows in; alerts, tickets, budgets, and answers flow out to the tools your team already lives in. One read-only key. Zero new logins.
What it caught.
$5,000
an hour, and climbing
Stopped in two hours
A compromised service role was firing thousands of requests at Gemini endpoints. Nothing in the cloud console had raised it. A statistical baseline flagged the deviation, the role was revoked two hours later, and roughly £80,000 of burn never happened.
Caught on our own infrastructure.
~$800/day
AWS CloudWatch
A UAT warehouse hit a disk limit and began writing full stack traces to CloudWatch several times a second. The log group had no alerting configured. A statistical baseline flagged the deviation within two hours.
Billing corrected
Google Vertex AI
Vertex spend sat near zero for days, then jumped overnight with no change to usage or configuration. Flagged as an anomaly, raised with Google, and confirmed as a billing error on their side.
What it gave back.
“It probably takes me two days a month pulling info from different systems, and half a day from my boss. We certainly couldn’t do anything as cheaply as you provide it.”
How it knows.
Four things run against your data every day.
Forecasts you can footnote.
A time-series model (Prophet) with confidence bands and a days-to-risk date — per provider and org-wide.
Baselines, not guesswork.
Statistical baselines per provider and service; deviations scored and ranked by severity the same day.
Every line item, classified.
Known services map instantly; unknown ones are classified by an LLM with a confidence score — and the mapping is learned for next time.
Cheaper models, checked daily.
StackSpend looks for models that match or beat yours on published quality benchmarks, prices them at your real token mix, and shows the projected saving.
See where your spend is leaking — before the next invoice.
You can't fix the cost risk you can't see — and every day it runs unchecked, it's still billing. Run a free audit: connect your providers with read-only access and StackSpend surfaces the spikes, unguarded budgets, and runaway costs across your cloud and AI stack, so you catch them before the next invoice lands.
Free. Read-only access. No credit card. Findings the same day.
Where you're exposed
- Total spend across your whole stack
- Anomalies hiding in the last 90 days
- Providers and services missing a budget
- A prioritised savings shortlist
One platform, every layer of spend
Cost management for your whole stack
AWS, GCP, Azure, Snowflake — one daily signal.
AI cost managementLLM and AI provider spend, tracked against a moving market.
LLM cost monitoringModel-level token spend across every provider.
Engineering spend managementBudgets, forecasts, and ownership for eng teams.
Cost observabilityAttribute, query, and explain every dollar.
AI cost monitoringDaily signals and anomaly alerts on AI spend.
FAQ — cloud and AI cost questions, answered
What is StackSpend?
Is StackSpend a cost dashboard or an AI Spend Intelligence platform?
What is the best way to track AI and cloud costs in one place?
How do I track OpenAI, Anthropic, and other LLM API costs?
How do I get alerted about unexpected AWS or cloud charges?
What is AI COGS, and how do I track AI gross margin?
Which cloud and AI providers does StackSpend support?
How much does StackSpend cost?
How long does StackSpend take to set up?
Can StackSpend tell me which LLM model to use?
Can I ask StackSpend questions about my spend?
Can finance see costs in GBP or EUR, mapped to the P&L?
Can StackSpend turn cost spikes into tickets in Slack, Linear, or Jira?
Bring your stack. See what it’s actually costing you.
Free. Read-only access. No credit card. Findings the same day.