Unified cost intelligence
Every cloud, every AI provider, and every SaaS invoice gets aggregated and normalized into a single, live picture of spend. Give finance and engineering the same number, and stop reconciling a dozen billing consoles by hand.
The problem
Modern software runs on cloud, AI, and SaaS. Every one of them bills you differently, in its own console, on its own schedule. There's no one place that answers the simplest question about your money.
See it coming
A monthly invoice is a lagging indicator. It only tells you what already happened, weeks too late to act on it. A daily, normalized view is a leading one: it shows a runaway line while there's still time to do something about it.
Estimate your waste
Drag your real numbers in. Everything below computes in your browser — nothing you type here is sent anywhere.
AWS, GCP, Azure
Anthropic, OpenAI, and other model providers
Datadog, Vercel, and the rest of the tool stack
This is only an estimate. It draws on Flexera's 2025 State of the Cloud report. The report found that organizations waste 27% of cloud spend. It also found that 84% of orgs struggle to manage cloud spend. CostMon shows you where your spend goes. It does not guarantee savings. We never take a cut of what you save. This estimate leaves out one of the biggest levers. Check the commitment discount calculator to see how much a Savings Plan or Reserved Instance could add. If you run Kubernetes, idle capacity hides differently there. See the Kubernetes cost allocation & idle capacity calculator.
Free tools
The calculator above works from numbers you type. These tools read a file you already have: an AWS bill, an Anthropic or OpenAI usage export, a FOCUS export, or your cluster output. The work happens in your browser. The file never leaves it, and you do not need an account.
Drop in a Cost Explorer CSV and see where the money went last month.
Paste kubectl output and see what your own cluster wastes, down to the namespace and workload.
Drop in a Claude or OpenAI usage export and see where the AI bill actually goes.
Drop in a FOCUS export from AWS, Azure, or Google Cloud and get a conformance check plus a money breakdown.
Drop in two AWS Cost Explorer exports and see the real share of your bill nobody owns.
Connectors
AWS, GCP, and Azure for cloud; Anthropic, OpenAI, Amazon Bedrock, Vertex AI / Gemini, and Helicone for AI and LLM spend; Snowflake and Databricks for the data cloud; Datadog, GitHub, and Vercel for the rest of the stack. Add CSV import for any tool without a native connector. That's 14 connectors, all normalized into the same unified view.
Features
Connect your providers, let CostMon normalize the mess, and get one honest view of what you're paying. And who's paying it.
Connect AWS, GCP, and Azure for cloud; Anthropic, OpenAI, Amazon Bedrock, Vertex AI / Gemini, and Helicone for AI and LLM spend; Snowflake and Databricks for the data cloud; Datadog, GitHub, and Vercel for the rest of the stack, or import any tool via CSV. Read-only credentials, scoped to billing data. CostMon never touches your workloads.
Every provider reports costs its own way. CostMon normalizes currencies, time windows, and line items into one consistent schema, so a dollar in AWS reads the same as a dollar in Anthropic.
See spend over time, by provider, by service, by anything you connect. Spot the line that's climbing before it becomes the invoice that hurts.
Group spend into buckets that match how you work: per team, per product, per customer. Finally attach a name to every dollar.
A single running number for what your whole stack costs this month, refreshed as new data syncs, so you're not stitching it together from a spreadsheet and three logins.
Save any cost summary, allocation, forecast, or unit-economics view as a report. Download it as CSV or PDF on demand, or have it delivered weekly or monthly straight to an email, Slack, or webhook channel.
A day-one default rule catches an unusual spike in spend before it becomes an invoice, and scoped rules can watch tokens or tokens-per-request too. Budgets with a burn-down projection warn at 80% and 100%. Every alert lands by email, Slack, or webhook.
Learn more →Idle resources, rightsizing candidates, and commitment coverage or utilization gaps get surfaced automatically, each graded by confidence, so cutting waste doesn't start with a spreadsheet.
You pay a flat monthly rate, never a percentage of what you spend or save. Your bill doesn't balloon when your cloud bill does, and our incentives stay honestly aligned with yours.
FinOps for AI
Anthropic, Vertex AI, and Helicone usage lands in the same normalized view as the rest of your stack, with the token-level detail an AI budget needs.
Cost per 1M input tokens, cost per 1M output tokens, cost per request, cache-hit ratio. Not one opaque monthly invoice total. See what a model costs to run.
See AI spend the way you build it: by model (Opus, Sonnet, Haiku, GPT-4o, Gemini) and by workload (checkout agent, support bot, batch ETL), not as one Anthropic line item.
A runaway fan-out is a stuck agent loop, not more traffic. Tokens per request spike while request count stays flat, and CostMon catches it in days, not on next month's invoice.
How it works
Add read-only billing credentials for AWS, Anthropic, and your SaaS tools. Access is scoped to cost data only. CostMon never touches your workloads, code, or production systems.
We pull each provider's cost data on a schedule and reconcile the currencies, time windows, and line items into one consistent model. The tedious reconciliation happens for you.
Open the dashboard to a single live total, trends over time, breakdowns by provider and service, and cost buckets by team or project. One number your whole organization can trust.
How we charge
Connect your first providers in minutes and give finance and engineering one number they both trust. Flat pricing, never a percentage of your bill or your savings.