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Solution store — Azure API-first accelerator catalog: pre-built Bicep + ARM templates, sample apps, integration patterns

Azure API-First Solution Store

Comparative positioning note

This document is written from the perspective of Microsoft Azure, Cloud Scale Analytics, and CSA Loom. Any description of third-party or competing products, services, pricing, or capabilities is derived from publicly available documentation and sources believed accurate at the time of writing, and is provided for general comparison only. We do not claim expertise in, or authority over, any non-Microsoft product or service; the respective vendor's official documentation is the authoritative source for their offerings, which may change over time. Nothing here is intended to disparage any vendor — where a competing product has genuine advantages, we aim to note them honestly. Verify all third-party details against the vendor's current official documentation before making decisions.

What's here

This is the curated catalog of Azure accelerators for the API-First Data Strategy pillar. Each entry provides an integrated, cost-effective Azure equivalent to a specific capability found in a competing integration platform or a competing cloud's API stack. Compare any competitor's capability against its current official documentation.

Treat this page as a portfolio one-pager for customer conversations and a navigation page for the implementing artifacts in the repo.

Accelerator catalog

  • APIM API-First Starter

    Bicep starter that deploys APIM Premium v2 with the full LLM policy set, Entra app registration patterns, Log Analytics + App Insights, Key Vault, and a sample backend. The smallest viable foundation for everything else in this catalog.

    Path: examples/apim-api-first-starter/

  • APIM + MCP Layered Orchestration

    Reference implementation of MCP servers deployed as Container Apps behind APIM, with token quotas, semantic cache, content safety, and per-tool authorization. Production-grade replacement for naive agent-to-MCP wiring.

    Guide: APIM + MCP layered orchestration

  • Dataverse API Integration Pack

    Working examples for reading and writing Dataverse via the OData v4 Web API from Databricks, Foundry agents, Python services, and Power Automate. Includes the $metadata-driven discovery pattern.

    Use case: Dataverse API integration

  • EAM-on-APIM Façade

    Pattern + sample for exposing an enterprise asset management system as a stable, governed REST API through APIM with zero data movement. Generalizes to financial procurement and other operational systems.

    Use case: Enterprise asset management through APIM

  • Zero-Trust API Governance Kit (Federal)

    Reference Bicep + policy bundle for FedRAMP High / IL5 deployments. Includes Conditional Access patterns, mTLS, sensitivity-label propagation, DLP rules, audit retention, and cross-boundary federation.

    Guide: Zero-trust API governance for federal mission environments

  • Cross-Cloud Zero-Move Pattern

    OneLake shortcuts to S3 / GCS + APIM façades + Synapse OPENROWSET examples for cross-cloud data access without movement.

    Use case: Multi-cloud data virtualization

  • :material-account-multi:{ .lg .middle } Copilot Studio + APIM Connector Pack

    Pattern for wiring Copilot Studio agents to APIM-fronted custom connectors. Covers OpenAPI publication, subscription key flow, Entra delegated auth, and lineage to Purview.

    Best practice: API-first data strategy

  • Integration-Platform Migration Kit

    Migration playbook for moving from a competing integration platform to Azure. Includes the strangler-fig sequencing, transformation-logic audit checklist, connector mapping table, and an ROI worksheet.

    Comparison: Azure vs a competing integration platform

  • Competing-Cloud API Stack Migration Kit

    Migration playbook for moving from a competing cloud's API gateway, identity, serverless-authorizer, eventing, data-flow, and orchestration services to the Azure equivalent. Co-existence patterns for keeping the competitor's data in place.

    Comparison: Azure vs a competing cloud's API stack

  • AI Chargeback Dashboard

    Power BI semantic model + KQL queries that turn APIM emit-token-metric data into a per-subscription, per-model, per-tool chargeback report. Drops into FinOps reviews directly.

    Best practice: Multi-model AI orchestration

Accelerator coverage map

How the accelerators map to capabilities a customer may evaluate on a competing integration platform or a competing cloud's API stack. Confirm any competitor's current capability against its own official documentation:

Customer need Where competitors typically position Azure accelerator
API gateway A managed API gateway service APIM API-First Starter
LLM gateway features Often requires custom assembly APIM API-First Starter + LLM policy bundle
Agent tool layer Varies; some offer agent frameworks APIM + MCP Layered Orchestration
Universal CRM/data API Per-system connectors Dataverse API Integration Pack
Operational system façade Integration / data-flow tooling EAM-on-APIM Façade
Federal governance Government-cloud offering Zero-Trust API Governance Kit (Federal)
Cross-cloud data access Often connector- or movement-based Cross-Cloud Zero-Move Pattern
No-code agent + connector Low-code composer / app tooling Copilot Studio + APIM Connector Pack
Cost governance for AI Often DIY AI Chargeback Dashboard
Migration from a competing integration platform — Integration-Platform Migration Kit
Migration from a competing cloud's API stack — Competing-Cloud API Stack Migration Kit

Accreditation boundary coverage

All accelerators deploy across Azure Commercial. Federal coverage:

Accelerator Commercial Azure Gov / GCC High DoD IL5 DoD IL6
APIM API-First Starter ✅ ✅ ✅ Select
APIM + MCP Layered Orchestration ✅ ✅ ✅ Select
Dataverse API Integration Pack ✅ ✅ ✅ (Dataverse availability)
EAM-on-APIM Façade ✅ ✅ ✅ Select
Zero-Trust API Governance Kit (Federal) ✅ ✅ ✅ ✅
Cross-Cloud Zero-Move Pattern ✅ ✅ (Gov boundaries) ✅ Select
Copilot Studio + APIM Connector Pack ✅ ✅ (GCC / GCC High) ✅ (Copilot Studio availability)
AI Chargeback Dashboard ✅ ✅ ✅ ✅

Boundary specifics confirmed via current accreditation status before commitment.

How to deploy

Each accelerator carries its own README with prerequisites, deployment commands, and validation steps. The recommended path:

  1. Read the corresponding use case or best practice in this site to understand the architectural intent.
  2. Stand up the APIM API-First Starter as the foundation.
  3. Layer the accelerator(s) that match your first use case.
  4. Wire telemetry into the AI Chargeback Dashboard from day one.
  5. Engage the Migration Kit for the incumbent competing platform to plan strangler-fig migration.

Roadmap

Accelerator Status
APIM API-First Starter Available (this commit)
Dataverse API Integration Pack Sample code in examples/apim-api-first-starter/samples/dataverse/
EAM-on-APIM Façade Pattern documented; sample code planned next
Copilot Studio + APIM Connector Pack Pattern documented; connector template planned next
Zero-Trust API Governance Kit (Federal) Pattern documented; Bicep bundle planned next
AI Chargeback Dashboard KQL queries published; Power BI PBIT planned next
Migration Kits (competing integration platform / cloud API stack) Playbooks published; spreadsheet ROI templates planned next

This page tracks the roadmap; entries graduate from pattern → reference implementation → fully runnable accelerator as engineering work lands.