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Azure Pricing

OrganizationPopular
github
azure-pricing

Fetches real-time Azure retail pricing using the Azure Retail Prices API (prices.azure.com) and estimates Copilot Studio agent credit consumption. Use when the user asks about the cost of any Azure service, wants to compare SKU prices, needs pricing data for a cost estimate, mentions Azure pricing, Azure costs, Azure billing, or asks about Copilot Studio pricing, Copilot Credits, or agent usage estimation. Covers compute, storage, networking, databases, AI, Copilot Studio, and all other Azure service families.

Overview

Publishergithub
Repositoryawesome-copilot
Skill nameazure-pricing
Stars
39.1K
Forks
5K
Bundled files
4
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 4 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by github on GitHub. Read the source before you install it.

Installation

Install the Azure Pricing AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/github/awesome-copilot.git /tmp/awesome-copilot
mkdir -p .claude/skills
cp -r /tmp/awesome-copilot/skills/azure-pricing .claude/skills/azure-pricing
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Azure Pricing in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Azure Pricing on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Azure Pricing is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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

FieldTypeExample
serviceNamestring (exact, case-sensitive)'Functions', 'Virtual Machines', 'Storage'
serviceFamilystring (exact, case-sensitive)'Compute', 'Storage', 'Databases', 'AI + Machine Learning'
armRegionNamestring (exact, lowercase)'eastus', 'westeurope', 'southeastasia'
armSkuNamestring (exact)'Standard_D4s_v5', 'Standard_LRS'
skuNamestring (contains supported)'D4s v5'
priceTypestring'Consumption', 'Reservation', 'DevTestConsumption'
meterNamestring (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

json
{
  "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

IssueSolution
Empty resultsBroaden the filter — remove priceType or armRegionName first
Wrong service nameUse serviceFamily filter to discover valid serviceName values
Missing savings plan dataEnsure api-version=2023-01-01-preview is in the URL
URL errorsCheck URL encoding — spaces as %20, quotes as %27
Too many resultsAdd more filter fields (region, SKU, priceType) to narrow down

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:

URLContent
https://learn.microsoft.com/en-us/microsoft-copilot-studio/requirements-messages-managementBilling rates table, billing examples, overage enforcement rules
https://learn.microsoft.com/en-us/microsoft-copilot-studio/billing-licensingLicensing 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).

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Azure Pricing AI skill do?

Fetches real-time Azure retail pricing using the Azure Retail Prices API (prices.azure.com) and estimates Copilot Studio agent credit consumption. Use when the user asks about the cost of any Azure service, wants to compare SKU prices, needs pricing data for a cost estimate, mentions Azure pricing, Azure costs, Azure billing, or asks about Copilot Studio pricing, Copilot Credits, or agent usage estimation. Covers compute, storage, networking, databases, AI, Copilot Studio, and all other Azure service families.

Why use Azure Pricing on TypingMind?

Because you install it once and use it with any model. Azure Pricing is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Azure Pricing in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/github/awesome-copilot/tree/main/skills/azure-pricing. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Azure Pricing?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Azure Pricing?

As many as you like. As long as a model supports skills, you can use Azure Pricing with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Azure Pricing AI skill free?

Yes. It is published on GitHub by github under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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