azure-cost-estimator

name	azure-cost-estimator
description	Estimate monthly costs for Azure resources by querying the Azure Retail Prices API. Parses ARM templates to identify resources, SKUs, and regions, then looks up real retail pricing. Produces a per-resource cost breakdown with monthly totals. Use during template generation or when user asks about costs.
metadata	{"argument-hint":"ARM template JSON or list of resources with SKUs and region","user-invocable":true}

Azure Cost Estimator

Estimate monthly costs for Azure resources using the Azure Retail Prices API — a free, unauthenticated REST API that returns real Microsoft retail pricing.

When to Use

• During template generation (Stage 2) to show cost estimates before deployment
• When user asks "how much will this cost?" or "estimate costs"
• To compare cost of different SKU options
• To validate budget constraints before deployment

API Reference

Endpoint: https://prices.azure.com/api/retail/prices

Key facts:

• No authentication required
• OData $filter for targeted queries
• Filter values are case-sensitive (e.g., 'Virtual Machines' not 'virtual machines')
• Returns max 1,000 records per page (use NextPageLink for pagination)
• Currency defaults to USD; override with currencyCode='EUR' etc.
• Always filter for priceType eq 'Consumption' and isPrimaryMeterRegion eq true unless looking for reservations

Filterable fields: armRegionName, serviceName, armSkuName, meterName, productName, skuName, serviceFamily, priceType

Procedure

1. Parse ARM Template Resources

Extract from the ARM template:

• Resource type (Microsoft.Compute/virtualMachines, Microsoft.Storage/storageAccounts, etc.)
• SKU/size (e.g., Standard_B1ls, Standard_LRS)
• Region (armRegionName value, e.g., southeastasia, eastus)
• Any quantity-affecting properties (disk size, number of instances, reserved capacity)

2. Map Resource Types to Pricing API Queries

Use the mapping table below to construct the correct API filter for each resource type. Run each query using curl in the terminal.

Query pattern:

curl -s "https://prices.azure.com/api/retail/prices?\$filter=<FILTER>" | python3 -c "
import sys, json
data = json.load(sys.stdin)
for item in data.get('Items', []):
    print(f\"{item['meterName']:30s} {item['retailPrice']:>10.6f} {item['unitOfMeasure']:15s} {item['productName']}\")
"

Resource Type Mapping

Virtual Machines (Microsoft.Compute/virtualMachines)

serviceName eq 'Virtual Machines'
and armRegionName eq '{region}'
and armSkuName eq '{vmSize}'
and priceType eq 'Consumption'
and contains(productName, 'Linux')      # or 'Windows' based on osProfile

Pick the result where meterName matches the SKU base name (e.g., B1ls for Standard_B1ls). Unit: 1 Hour → multiply by 730 for monthly estimate.

OS detection from ARM template:

• osProfile.linuxConfiguration present → Linux
• osProfile.windowsConfiguration present → Windows

Managed Disks (Microsoft.Compute/disks or implicit VM OS disk)

serviceName eq 'Storage'
and armRegionName eq '{region}'
and meterName eq '{diskTier} LRS Disk'    # e.g., 'P4 LRS Disk', 'S4 LRS Disk'
and priceType eq 'Consumption'

Disk tier mapping (from diskSizeGB or sku.name):

ARM sku.name	Prefix	Sizes
Premium_LRS	P	P4 (32GB), P6 (64GB), P10 (128GB), P15 (256GB), P20 (512GB), P30 (1TB)
StandardSSD_LRS	E	E4, E6, E10, E15, E20, E30
Standard_LRS	S	S4, S6, S10, S15, S20, S30

If VM uses osDisk.managedDisk.storageAccountType → use that to determine the tier. Unit: 1/Month → use directly.

Storage Accounts (Microsoft.Storage/storageAccounts)

serviceName eq 'Storage'
and armRegionName eq '{region}'
and skuName eq '{redundancy}'            # e.g., 'Standard LRS', 'Standard GRS'
and meterName eq 'LRS Data Stored'       # or 'GRS Data Stored'
and productName eq 'Blob Storage'
and priceType eq 'Consumption'

Unit: 1 GB/Month → estimate based on expected storage. Use 10 GB as default if unknown. Also add transaction costs: search for meterName eq 'Write Operations' (per 10,000 ops).

Function Apps (Microsoft.Web/sites with kind: functionapp)

Consumption plan:

serviceName eq 'Functions'
and armRegionName eq '{region}'
and priceType eq 'Consumption'

Key meters:

• Execution Time — per GB-s ($0.000016/GB-s, first 400,000 GB-s/month free)
• Total Executions — per execution ($0.20/million, first 1M/month free)

Dedicated plan: Price the App Service Plan instead (see below).

App Service Plans (Microsoft.Web/serverfarms)

serviceName eq 'Azure App Service'
and armRegionName eq '{region}'
and armSkuName eq '{skuName}'            # e.g., 'B1', 'S1', 'P1v3'
and priceType eq 'Consumption'

Unit: 1 Hour → multiply by 730 for monthly.

SQL Database (Microsoft.Sql/servers/databases)

DTU model:

serviceName eq 'SQL Database'
and armRegionName eq '{region}'
and meterName eq '{tier} DTUs'           # e.g., 'Basic DTUs', 'S1 DTUs'
and priceType eq 'Consumption'

vCore model:

serviceName eq 'SQL Database'
and armRegionName eq '{region}'
and skuName eq '{tier}'
and priceType eq 'Consumption'

Cosmos DB (Microsoft.DocumentDB/databaseAccounts)

serviceName eq 'Azure Cosmos DB'
and armRegionName eq '{region}'
and meterName eq '100 RU/s'             # or 'Autoscale - 100 RU/s'
and priceType eq 'Consumption'

Unit: 1 Hour per 100 RU/s → multiply by 730 × (provisioned RU/s ÷ 100). Storage: search meterName eq '1 GB Data Stored'.

Public IP (Microsoft.Network/publicIPAddresses)

serviceName eq 'Virtual Network'
and armRegionName eq '{region}'
and meterName eq 'Static Public IP'      # or 'Dynamic Public IP' or 'Basic IPv4 Static Public IP Address'
and priceType eq 'Consumption'

Unit: 1 Hour → multiply by 730.

Application Insights (Microsoft.Insights/components)

serviceName eq 'Azure Monitor'
and armRegionName eq '{region}'
and meterName eq 'Data Ingestion'
and priceType eq 'Consumption'

Unit: 1 GB — first 5 GB/month free. Estimate 1 GB/month for dev, 5-10 GB for prod.

Key Vault (Microsoft.KeyVault/vaults)

serviceName eq 'Key Vault'
and armRegionName eq '{region}'
and priceType eq 'Consumption'

Key meters: Operations (per 10,000), Certificate Renewals, HSM Key Operations. Typically < $1/month for dev workloads.

Log Analytics Workspace (Microsoft.OperationalInsights/workspaces)

serviceName eq 'Azure Monitor'
and armRegionName eq '{region}'
and meterName eq 'Pay-as-you-go Data Ingestion'
and priceType eq 'Consumption'

Unit: 1 GB — first 5 GB/day free on pay-as-you-go tier.

Network Security Group / Virtual Network / NIC

These resources are free — no pricing API query needed. Note this in the output:

Network Security Group     $0.00/month   (no charge)
Virtual Network            $0.00/month   (no charge)
Network Interface          $0.00/month   (no charge)

3. Query the API

For each resource, run the constructed query. Use curl with proper URL encoding:

curl -s "https://prices.azure.com/api/retail/prices?\$filter=serviceName%20eq%20%27Virtual%20Machines%27%20and%20armRegionName%20eq%20%27southeastasia%27%20and%20armSkuName%20eq%20%27Standard_B1ls%27%20and%20priceType%20eq%20%27Consumption%27" \
  | python3 -c "
import sys, json
data = json.load(sys.stdin)
for item in data.get('Items', []):
    if item.get('isPrimaryMeterRegion'):
        print(json.dumps({
            'meter': item['meterName'],
            'price': item['retailPrice'],
            'unit': item['unitOfMeasure'],
            'product': item['productName'],
            'sku': item.get('armSkuName', ''),
            'type': item['type']
        }, indent=2))
"

4. Calculate Monthly Costs

Apply the correct multiplier based on unitOfMeasure:

Unit	Monthly Multiplier	Notes
1 Hour	× 730	365.25 days × 24 hours ÷ 12 months
1 GB/Month	× estimated GB	Use actual or default estimate
1/Month	× 1	Already monthly
100/Month	× quantity ÷ 100	Per 100 units/month
1 GB	× estimated GB	Ingestion-based
10K	× estimated ops ÷ 10000	Transaction-based

5. Handle Free Tiers and Included Quantities

Note any free tier allowances in the output:

Service	Free Allowance
Functions (Consumption)	1M executions + 400K GB-s/month
Application Insights	5 GB ingestion/month
Log Analytics	5 GB/day ingestion
Cosmos DB (Serverless)	No minimum, pay per RU
Bandwidth	First 5 GB outbound/month

If the estimated usage falls within the free tier, show $0.00 with a note.

6. Present Cost Estimate

Format the output as a clear cost breakdown:

### 💰 Estimated Monthly Cost

| # | Resource | SKU/Tier | Meter | Unit Price | Monthly Est. |
|---|----------|----------|-------|-----------|-------------|
| 1 | vm-linuxvm-dev-sea | Standard_B1ls | B1ls (Linux) | $0.0052/hr | $3.80 |
| 2 | OS Disk (30GB) | Standard_LRS | S4 LRS Disk | $1.54/mo | $1.54 |
| 3 | pip-linuxvm-dev-sea | Basic Static | Static IP | $0.0036/hr | $2.63 |
| 4 | NSG, VNet, NIC | — | — | — | $0.00 |
| | | | | **Total** | **$7.97/mo** |

**Notes:**
- Prices are Microsoft retail (pay-as-you-go) in USD
- Actual costs may vary with reserved instances, savings plans, or enterprise agreements
- Bandwidth egress is not included (first 5 GB/month free)
- Prices retrieved from [Azure Retail Prices API](https://learn.microsoft.com/en-us/rest/api/cost-management/retail-prices/azure-retail-prices) on {date}

**Cost optimization options:**
- 💡 1-Year Reserved Instance: ~{X}% savings
- 💡 3-Year Reserved Instance: ~{Y}% savings
- 💡 Spot Instance: ~{Z}% savings (interruptible)

7. Save Cost Estimate

Save the estimate to the deployment artifacts:

File: .azure/deployments/{deployment-id}/cost-estimate.json

{
  "estimatedAt": "2026-02-19T10:00:00Z",
  "currency": "USD",
  "region": "southeastasia",
  "monthlyTotal": 7.97,
  "resources": [
    {
      "name": "vm-linuxvm-dev-southeastasia",
      "type": "Microsoft.Compute/virtualMachines",
      "sku": "Standard_B1ls",
      "meter": "B1ls",
      "unitPrice": 0.0052,
      "unitOfMeasure": "1 Hour",
      "monthlyEstimate": 3.80
    }
  ],
  "notes": [
    "Retail pay-as-you-go pricing",
    
  
   
   

Error Handling

If a price is not found for a resource:

• Try broader filters (remove armSkuName, search by productName with contains())
• Try alternate serviceName values (e.g., 'Azure App Service' vs 'App Service')
• If still not found: show ❓ Price not found with the query used, so the user can verify manually
• Never fabricate a price — show Unknown and link to the Azure Pricing Calculator

If the API is unreachable:

• Fall back to a note: "Cost estimation unavailable — API unreachable. Check manually at https://azure.microsoft.com/pricing/calculator/"

Constraints

• DO NOT fabricate or guess prices — all prices must come from the API response
• DO NOT use hardcoded prices — always query the API for current rates
• DO NOT forget to filter for isPrimaryMeterRegion eq true to avoid duplicate results
• DO NOT mix up serviceName values — they are case-sensitive (e.g., 'Virtual Machines' not 'virtual machines')
• ALWAYS show the pricing date so users know how current the estimate is
• ALWAYS note that actual costs may differ from retail pricing (EA, CSP, savings plans)