CostMonStart free

Cloud and AI cost monitoring

See the cost spike before the invoice

CostMon pulls daily costs from AWS, Anthropic, OpenAI, and your other tools into one view. Add an email, Slack, or webhook alert, and it flags a line that jumps. It also finds idle resources you can cut.

  • Read-only access
  • Your data stays yours
  • Flat pricing
How we keep your data safe →

The problem

Your spend changes daily. Your invoice does not

Most teams check cloud and AI spend once a month. By then, a spike is old news and the waste has already repeated.

  • surprise billsA runaway job or an agent loop can run for days before anyone sees it. The invoice arrives weeks later, when it is too late to stop it.
  • nobody watches dailyAWS, your AI provider, and your SaaS tools each have their own console. No single page shows all of them, so nobody looks until month end.
  • waste nobody findsIdle resources and unused commitments keep billing. Nobody checks for them, so the same waste repeats every month.
  • unowned spendCosts have no team or project attached, so nobody owns them. A line item can triple overnight and no one notices.

See it coming

Watch the daily line. The monthly total comes too late.

A monthly invoice shows what already happened. A daily, normalized view shows a runaway line while you can still stop it. The chart below uses illustrative numbers.

Daily stack spendLast 30 days, normalized
Daily view
~16 daysearlier than the invoice
Dailyview of every source

The alert

The message you get when a line jumps

The card at the top shows a $302 day on one Claude model. That is 64% above its 14-day average, so the default rule fires. CostMon posts this message in your in-app feed. It also sends it by email, Slack, or webhook once you add a channel.

Alert preview

Sample numbers. The words and fields are the exact format CostMon's notifier sends.

FromCostMon <no-reply@costmon.com>
Toyou@yourcompany.com
SubjectCostMon alert: Anomaly: anthropic / claude-opus-4-6 spend spike
Anomaly: anthropic / claude-opus-4-6 spend spike

anthropic / claude-opus-4-6 was $302.00 on 2026-10-23 — 64% above its 14-day average of $184.00.

Severity: warning
Occurred on: 2026-10-23

Every new account starts with this rule. Add a channel, and the next spike reaches you. You can tune the rule, or add rules for a budget, one service, or token use.

Estimate your waste

See what your stack is quietly wasting

Drag your real numbers in. Everything below computes in your browser. Nothing you type here is sent anywhere.

$20,000

AWS, GCP, Azure

$5,000

Anthropic, OpenAI, and other model providers

$8,000

Datadog, Vercel, and the rest of the tool stack

Your estimateUpdates live
Live
Recoverable per year$99,000
Estimated monthly waste
$8,250
Total monthly stack spend
$33,000
Consoles unified
3 billing consoles → 1 view

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

Run these on your own bill

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.

AWS Bill Analyzer

Drop in a Cost Explorer CSV and see where the money went last month.

You bring
An AWS Cost Explorer CSV export
You get
A cost breakdown, period-over-period movers, and a run-rate projection. Nothing leaves your browser.
Open the tool →

Kubernetes Waste Analyzer

Paste kubectl output and see what your own cluster wastes, down to the namespace and workload.

You bring
kubectl get pods -A -o json, plus optionally kubectl top output and a node list
You get
A request roll-up by namespace and workload, and nine findings, dollarized once you add measured usage. Nothing leaves your browser.
Open the tool →

AI Spend Analyzer

Drop in a Claude or OpenAI usage export and see where the AI bill actually goes.

You bring
An Anthropic Console or OpenAI Usage Dashboard export
You get
A cost breakdown by model, what changed, and nine findings linked to the matching cost-cutting lever. Nothing leaves your browser.
Open the tool →

FOCUS Export Analyzer

Drop in a FOCUS export from AWS, Azure, or Google Cloud and get a conformance check plus a money breakdown.

You bring
A FOCUS-formatted cost and usage export from AWS, Azure, or Google Cloud
You get
A conformance check, a money breakdown by charge category and provider, and seven findings such as unused commitment spend. Nothing leaves your browser.
Open the tool →

Tag Coverage Analyzer

Drop in two AWS Cost Explorer exports and see the real share of your bill nobody owns.

You bring
An AWS Cost Explorer export of all costs, and the same report with untagged resources only
You get
Coverage by dollars, the trend across periods, which services carry the untagged spend, and a never-tagged-versus-drift split. Nothing leaves your browser.
Open the tool →
See every free tool →

Connectors

Cloud, AI, and SaaS: all in one place

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

See it, get alerted, cut the waste

CostMon watches your spend every day, tells you when a line jumps, and points at what you can cut.

Budgets, alerts & anomaly detection

CostMon compares each day's spend against its own recent baseline. A default rule watches every connected source from the day you sign up. Every alert lands in the in-app feed. Add an email, Slack, or webhook channel to get it there too. Budgets warn at 80% and 100% of the limit you set, with a burn-down projection.

Learn more →

Savings recommendations

CostMon scans your cost data for patterns that often mean waste. It flags possible idle services, SKUs that cost more than their peers, and commitment gaps. Each finding carries a confidence grade.

Learn more →

Trends & breakdowns

CostMon charts daily spend by source, and ranks the top services over the same range. A climbing line shows up days or weeks before the monthly bill arrives.

Cost buckets by team or project

Allocation rules group spend by team, product, or customer. A rule matches on the provider source, the service, the connector, or any tag you already send. Spend that no rule matches stays visible as unallocated.

One live total

CostMon adds every connected bill into a single running total. Finance and engineering read the same figure. It updates every time a connector syncs.

Scheduled reports & exports

Save any view as a report. Export it as CSV or PDF, or schedule delivery by email, Slack, or webhook.

FinOps for AI

Your AI bill, broken down like an engineer would

Anthropic, OpenAI, Amazon Bedrock, Vertex AI / Gemini, and Helicone usage lands in the same normalized view as the rest of your stack. You also get the token-level detail an AI budget needs.

Token unit economics

CostMon shows cost per 1M input tokens, cost per 1M output tokens, cost per request, and cache-hit ratio. You see what each model costs to run.

Per-model & per-workload showback

Group AI spend by model, such as Opus, Sonnet, or Haiku. For workloads, tag your Helicone requests with a workload property. CostMon then splits spend by that tag.

Agent-loop anomaly alerts

A stuck agent loop sends tokens per request up while the request count stays flat. Add a scoped rule on tokens per request, and CostMon alerts you within days.

How it works

Connect it, then act on what you find

  1. 01

    Connect your providers

    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.

  2. 02

    CostMon syncs and normalizes

    CostMon pulls each provider's cost data on a schedule. It maps every line item into one consistent model, so AWS, Anthropic, and SaaS costs sit side by side.

  3. 03

    Get alerted, then cut the waste

    The dashboard shows one live total and every trend behind it. A spike triggers an alert in the in-app feed. Add an email, Slack, or webhook channel to get it there too. The recommendations list points at what to cut.

Latest syncSample data
Synced
  • AWSCost Explorer$12,480.00
  • AnthropicAI API usage$4,210.00
  • DatadogSaaS$2,140.00
  • VercelSaaS$1,190.00
Normalized total, this month$20,020.00

How we charge

One flat price. No cut of your savings.

  • one flat rateCostMon charges a fixed monthly rate per plan tier, never a fraction of your cloud bill.
  • every optimization includedEvery plan includes commitment coverage, idle-resource, and rightsizing recommendations. They cost nothing extra.
  • no cut of your savingsWe take no percentage of the waste you find. You keep all of it.
See flat vs. percentage pricing, calculated live →

Get the alert before the invoice.

Connect your first providers in minutes. CostMon flags a spike within days and lists what to cut. Pricing is flat. We take no percentage of your bill or your savings.

Esc