Attribution: Sourced from github/awesome-copilot by GitHub Community, licensed MIT. Modified for this collection.

Azure Pricing Skill

Use this skill to retrieve real-time Azure retail pricing data from the public Azure Retail Prices API. No authentication is required.

When to Use This Skill

• User asks about the cost of an Azure service (e.g., "How much does a D4s v5 VM cost?")
• User wants to compare pricing across regions or SKUs
• User needs a cost estimate for a workload or architecture
• User mentions Azure pricing, Azure costs, or Azure billing
• User asks about reserved instance vs. pay-as-you-go pricing
• User wants to know about savings plans or spot pricing

API Endpoint

GET https://prices.azure.com/api/retail/prices?api-version=2023-01-01-preview

Append $filter as a query parameter using OData filter syntax. Always use api-version=2023-01-01-preview to ensure savings plan data is included.

Step-by-step Instructions

If anything is unclear about the user's request, ask clarifying questions to identify the correct filter fields and values before calling the API.

1. Identify filter fields from the user's request (service name, region, SKU, price type).
2. Resolve the region: the API requires armRegionName values in lowercase with no spaces (e.g. "East US" → eastus, "West Europe" → westeurope, "Southeast Asia" → southeastasia). See references/REGIONS.md for a complete list.
3. Build the filter string using the fields below and fetch the URL.
4. Parse the Items array from the JSON response. Each item contains price and metadata.
5. Follow pagination via NextPageLink if you need more than the first 1000 results (rarely needed).
6. Calculate cost estimates using the formulas in references/COST-ESTIMATOR.md to produce monthly/annual estimates.
7. Present results in a clear summary table with service, SKU, region, unit price, and monthly/annual estimates.

Filterable Fields

Field	Type	Example
serviceName	string (exact, case-sensitive)	'Functions', 'Virtual Machines', 'Storage'
serviceFamily	string (exact, case-sensitive)	'Compute', 'Storage', 'Databases', 'AI + Machine Learning'
armRegionName	string (exact, lowercase)	'eastus', 'westeurope', 'southeastasia'
armSkuName	string (exact)	'Standard_D4s_v5', 'Standard_LRS'
skuName	string (contains supported)	'D4s v5'
priceType	string	'Consumption', 'Reservation', 'DevTestConsumption'
meterName	string (contains supported)	'Spot'

Use eq for equality, and to combine, and contains(field, 'value') for partial matches.

Example Filter Strings

# All consumption prices for Functions in East US
serviceName eq 'Functions' and armRegionName eq 'eastus' and priceType eq 'Consumption'

# D4s v5 VMs in West Europe (consumption only)
armSkuName eq 'Standard_D4s_v5' and armRegionName eq 'westeurope' and priceType eq 'Consumption'

# All storage prices in a region
serviceName eq 'Storage' and armRegionName eq 'eastus'

# Spot pricing for a specific SKU
armSkuName eq 'Standard_D4s_v5' and contains(meterName, 'Spot') and armRegionName eq 'eastus'

# 1-year reservation pricing
serviceName eq 'Virtual Machines' and priceType eq 'Reservation' and armRegionName eq 'eastus'

# Azure AI / OpenAI pricing (now under Foundry Models)
serviceName eq 'Foundry Models' and armRegionName eq 'eastus' and priceType eq 'Consumption'

# Azure Cosmos DB pricing
serviceName eq 'Azure Cosmos DB' and armRegionName eq 'eastus' and priceType eq 'Consumption'

Full Example Fetch URL

https://prices.azure.com/api/retail/prices?api-version=2023-01-01-preview&$filter=serviceName eq 'Functions' and armRegionName eq 'eastus' and priceType eq 'Consumption'

URL-encode spaces as %20 and quotes as %27 when constructing the URL.

Key Response Fields

{
  "Items": [
    {
      "retailPrice": 0.000016,
      "unitPrice": 0.000016,
      "currencyCode": "USD",
      "unitOfMeasure": "1 Execution",
      "serviceName": "Functions",
      "skuName": "Premium",
      "armRegionName": "eastus",
      "meterName": "vCPU Duration",
      "productName": "Functions",
      "priceType": "Consumption",
      "isPrimaryMeterRegion": true,
      "savingsPlan": [
        { "unitPrice": 0.000012, "term": "1 Year" },
        { "unitPrice": 0.000010, "term": "3 Years" }
      ]
    }
  ],
  "NextPageLink": null,
  "Count": 1
}

Only use items where isPrimaryMeterRegion is true unless the user specifically asks for non-primary meters.

Supported serviceFamily Values

Analytics, Compute, Containers, Data, Databases, Developer Tools, Integration, Internet of Things, Management and Governance, Networking, Security, Storage, Web, AI + Machine Learning

Tips

• serviceName values are case-sensitive. When unsure, filter by serviceFamily first to discover valid serviceName values in the results.
• If results are empty, try broadening the filter (e.g., remove priceType or region constraints first).
• Prices are always in USD unless currencyCode is specified in the request.
• For savings plan prices, look for the savingsPlan array on each item (only in 2023-01-01-preview).
• See references/SERVICE-NAMES.md for a catalog of common service names and their correct casing.
• See references/COST-ESTIMATOR.md for cost estimation formulas and patterns.
• See references/COPILOT-STUDIO-RATES.md for Copilot Studio billing rates and estimation formulas.

Troubleshooting

Issue	Solution
Empty results	Broaden the filter — remove priceType or armRegionName first
Wrong service name	Use serviceFamily filter to discover valid serviceName values
Missing savings plan data	Ensure api-version=2023-01-01-preview is in the URL
URL errors	Check URL encoding — spaces as %20, quotes as %27
Too many results	Add more filter fields (region, SKU, priceType) to narrow down

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Copilot Studio Agent Usage Estimation

Use this section when the user asks about Copilot Studio pricing, Copilot Credits, or agent usage costs.

When to Use This Section

• User asks about Copilot Studio pricing or costs
• User asks about Copilot Credits or agent credit consumption
• User wants to estimate monthly costs for a Copilot Studio agent
• User mentions agent usage estimation or the Copilot Studio estimator
• User asks how much an agent will cost to run

Key Facts

• 1 Copilot Credit = $0.01 USD
• Credits are pooled across the entire tenant
• Employee-facing agents with M365 Copilot licensed users get classic answers, generative answers, and tenant graph grounding at zero cost
• Overage enforcement triggers at 125% of prepaid capacity

Step-by-step Estimation

1. Gather inputs from the user: agent type (employee/customer), number of users, interactions/month, knowledge %, tenant graph %, tool usage per session.
2. Fetch live billing rates — use the built-in web fetch tool to download the latest rates from the source URLs listed below. This ensures the estimate always uses the most current Microsoft pricing.
3. Parse the fetched content to extract the current billing rates table (credits per feature type).
4. Calculate the estimate using the rates and formulas from the fetched content:
   • total_sessions = users × interactions_per_month
   • Knowledge credits: apply tenant graph grounding rate, generative answer rate, and classic answer rate
   • Agent tools credits: apply agent action rate per tool call
   • Agent flow credits: apply flow rate per 100 actions
   • Prompt modifier credits: apply basic/standard/premium rates per 10 responses
5. Present results in a clear table with breakdown by category, total credits, and estimated USD cost.

Source URLs to Fetch

When answering Copilot Studio pricing questions, fetch the latest content from these URLs to use as context:

URL	Content
https://learn.microsoft.com/en-us/microsoft-copilot-studio/requirements-messages-management	Billing rates table, billing examples, overage enforcement rules
https://learn.microsoft.com/en-us/microsoft-copilot-studio/billing-licensing	Licensing options, M365 Copilot inclusions, prepaid vs pay-as-you-go

Fetch at least the first URL (billing rates) before calculating. The second URL provides supplementary context for licensing questions.

See references/COPILOT-STUDIO-RATES.md for a cached snapshot of rates, formulas, and billing examples (use as fallback if web fetch is unavailable).