Marketplace blog

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Integrate Marketplace commerce signals to enforce entitlements in AI apps

Julio_Colon

Microsoft

Apr 23, 2026

Selling AI apps through Microsoft Marketplace requires more than listing an offer—it requires implementing entitlements correctly at runtime. This post explains how entitlement integration differs across SaaS, managed applications, containers, and virtual machines.

How fulfillment and entitlement models differ by Microsoft Marketplace offer type

AI apps and agents increasingly operate with runtime autonomy, dynamic capability exposure, and on‑demand access to tools and resources. That flexibility creates a new challenge for software companies: enforcing commercial entitlements (what a customer is allowed to access or use at runtime) correctly after a customer purchase through Microsoft Marketplace. Marketplace is the system of record for commercial truth, but enforcement always lives in your application, agent, or deployed resources.

This post explains how Marketplace fulfillment and entitlement models differ by offer type—and what that means when you’re designing AI apps and agents that must respond correctly to subscription state, plan changes, and cancellations.

You can always get a curated step-by-step guidance through building, publishing and selling apps for Marketplace through App Advisor.

This post is part of a series on building and publishing well-architected AI apps and agents in Microsoft Marketplace. The series focuses on AI apps and agents that are architected, hosted, and operated on Azure, with guidance aligned to building and selling solutions through Microsoft Marketplace.

Why AI apps and agents must integrate with Marketplace commerce signals

Microsoft Marketplace is the commercial system of record for:

Tracking purchase and subscription state
Managing plan selection and plan changes
Signaling cancellation and suspension

AI apps and agents, by contrast, operate in environments where decisions are made continuously at runtime. They expose capabilities dynamically, invoke tools conditionally, and often operate without a human in the loop.

That mismatch makes static enforcement insufficient, including:

UI‑only checks
Configuration‑time gating
Prompt‑based constraints

Marketplace communicates commercial truth, but it does not enforce value. That responsibility always belongs to the publisher’s application, agent, or deployed resources. Correct integration starts with understanding what Marketplace provides—and what your software must implement.

What Marketplace provides—and what publishers must implement

Before diving into APIs or offer types, it’s important to separate responsibilities clearly.

Marketplace provides authoritative commercial signals, including:

Subscription existence and current state
Plan and entitlement context
Licensing or usage boundaries associated with the offer

Marketplace does not:

Enforce your business logic
Control runtime behavior
Automatically limit feature or resource access

Publishers are responsible for translating Marketplace signals into:

Application behavior
Agent capabilities
Resource access boundaries

That enforcement must be deterministic, auditable, and aligned with what the customer actually purchased. How those signals surface—through APIs, deployment constructs, licensing context, or metering—depends entirely on the fulfillment and entitlement model of the offer.

How fulfillment and entitlement models differ by offer type

Microsoft Marketplace supports multiple offer and fulfillment models, including:

SaaS subscriptions
Azure Managed Applications
Container offers
Virtual machine offers
Other specialized Marketplace offer types

Each model determines:

How a customer receives value
Where commercial signals appear
Which integration mechanisms apply
Where entitlement enforcement must occur

Some offers rely on Marketplace APIs. Others rely on deployment‑time enforcement, resource scoping, or usage constraints. There is no single integration pattern that applies to every offer. Understanding this distinction is essential before designing entitlement enforcement for AI apps and agents.

Marketplace integration responsibilities by offer type

This section is the technical anchor of the post. Marketplace APIs are not universal; they apply differently depending on the offer model.

SaaS offers

SaaS offers integrate directly with Microsoft Marketplace through the SaaS Fulfillment APIs.

These APIs are used to:

Activate subscriptions
Track plan changes
Enforce suspension and cancellation

In this model, Marketplace communicates subscription lifecycle events, but it does not enforce access. The publisher must:

Map Marketplace subscriptions to internal tenants
Maintain a durable subscription record
Enforce entitlements at runtime

For AI apps and agents, that enforcement typically happens in orchestration logic or tool‑invocation boundaries—not in the UI or prompts. SaaS Fulfillment APIs are the primary mechanism for receiving commercial truth, but the application remains responsible for acting on it.

Container offers

Container offers deliver value as container images and associated artifacts, such as Helm charts. In this model, the publisher is shipping a deployable artifact—not an application endpoint or API managed by Marketplace.

Marketplace provides:

Entitlement to deploy the container image
Optional usage‑based billing and metering
Ability to deploy to an existing AKS cluster or to a publisher configure one

Enforcement occurs at:

Deployment time, by controlling access to images
Runtime usage, through configuration and limits
Metered dimensions, when usage‑based billing applies

For AI workloads packaged as containers, entitlement enforcement is typically embedded in the runtime configuration, resource limits, or metering logic—not in Marketplace APIs.

Virtual machine offers

Virtual machine offers are fulfilled through VM image deployment.

In this model:

Fulfillment is based on VM deployment
Licensing and usage are enforced through the VM lifecycle
Subscription state is less event‑driven but still contractually binding

While there is no SaaS‑style fulfillment callback, publishers must still ensure that deployed workloads align with the purchased offer. For AI solutions delivered via VM images, enforcement is tied to licensing, configuration, and operational controls inside the VM.

Azure Managed Applications

For Azure Managed Applications, fulfillment is enforced through the Azure Resource Manager (ARM) deployment lifecycle.

In this model:

A Marketplace purchase establishes deployment rights
Resources are deployed into a managed resource group
Operational boundaries are defined by ARM and Azure role assignments

Publishers enforce value through:

Deployment behavior
Resource configuration
Lifecycle management and updates

For AI solutions delivered as managed applications, entitlement enforcement is tied to what is deployed and how it is operated—not to an external subscription API. Marketplace establishes the contract, and Azure enforces access through infrastructure boundaries.

Other offer types

Other Marketplace offer types follow similar patterns, with varying degrees of API involvement and deployment‑time enforcement. The key principle holds: Marketplace establishes commercial rights, but enforcement is always implemented by the publisher, using the mechanisms appropriate to the offer model.

Designing entitlement enforcement into AI apps and agents

Entitlements must be enforced outside the model. Large language models should never be responsible for deciding what a customer is allowed to do.

Effective enforcement belongs in:

The interaction layer
The orchestration layer
Tool invocation boundaries

Avoid:

UI‑only enforcement
Prompt‑based entitlement logic
Soft limits without auditability

AI agents should request capabilities from deterministic services that already understand subscription state and plan entitlements. This ensures enforcement is consistent, testable, and resilient.

Handling plan changes, upgrades, and feature tiers

Plan changes are common in Microsoft Marketplace. AI capability must align continuously with:

The active subscription tier
Purchased dimensions or limits

Common examples include:

Agent autonomy limits
Tool or connector access
Rate limits
Data scope

Feature gating must be deterministic and testable. When a plan changes, your application or agent should respond predictably—without manual intervention or redeployment.

Failure, retry, and reconciliation patterns

Marketplace events are not guaranteed to be:

Ordered
Delivered once
Immediately available

AI apps must handle:

Duplicate events
Missed callbacks
Temporary Marketplace or network failures

Reconciliation processes protect customers, publishers, and Marketplace trust. Periodic verification of subscription state ensures that runtime enforcement remains aligned with commercial reality.