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Amazon Application Discovery Service website screenshot

Amazon Application Discovery Service

Amazon Application Discovery Service helps enterprise customers plan application migration projects by automatically identifying servers, virtual machines, software, and software dependencies running in their on-premises data centers.

agent ready

Limited machine-readable signal and partial portal coverage — documentation a human can read, but little a machine or agent can consume without scraping.

Kin Score

API Evangelist profiles Amazon Application Discovery Service the way a machine reads it — 237 machine-readable artifacts across 6 APIs, pulled from the provider's own public surface and indexed so a developer, an analyst, or an AI agent can evaluate it against every other provider on the network.

Every provider in the network is reduced to the same set of machine-readable artifacts — OpenAPI contracts, event specifications, GraphQL schemas, runnable collections, pricing and rate-limit signals, security posture, OAuth scopes, and the agent surfaces (MCP servers and skills) that let software drive the API on its own. We profile them because the interface is the part of a company you can actually inspect: it is a truer signal of what a provider does than any marketing page. From those artifacts we compute the Kin Score — Amazon Application Discovery Service scores 40.3/100 (thin), with a separate agent-readiness read of 48/100 (agent ready). The full breakdown is below, followed by every artifact we hold — each card links through to its machine-readable definition on apis.io.

Kin Score

This is the API Evangelist rating — a single, repeatable read computed from the artifacts on this page. Green fill is points earned; the red track is points possible, so every bar shows earned-versus-possible at a glance.

Kin Score Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5
Composite quality — 40.3/100 · thin
Contract Quality 20.6 / 25
Developer Ergonomics 2.2 / 20
Commercial Clarity 0.0 / 20
Operational Transparency 0.0 / 13
Governance 8.8 / 12
Discoverability 8.8 / 10
Agent readiness — 48/100 · agent ready
Machine-Readable Contract 18 / 18
Agentic Access Contract 15 / 15
MCP Server 0 / 12
Machine-Readable Auth 10 / 10
Idempotency 0 / 9
Stable Error Semantics 0 / 8
Request/Response Examples 0 / 7
Rate-Limit Signaling 0 / 7
Typed Event Surface 0 / 6
Agent Skills 0 / 5
Well-Known Catalog 4 / 4
Consent & Bot Identity 3 / 3

How we profile Amazon Application Discovery Service

Each block below is one kind of artifact we hold for Amazon Application Discovery Service. For each we say what it is and why it earns a place in the profile, then list every one we've indexed — capped at two rows, scroll within the panel for the rest.

APIs 6

Each API is captured as its own OpenAPI definition — every operation, parameter, and response. This is the single most useful machine-readable description of what an API does, and it's what lets us score, lint, mock, and generate against it without asking the provider for anything.

Individual APIs this provider publishes, each with its own machine-readable definition.

Amazon Application Discovery Service Agents API

Operations for managing discovery agents and collectors

Amazon Application Discovery Service Applications API

Operations for managing application groupings

Amazon Application Discovery Service Configurations API

Operations for querying discovered configuration items

Amazon Application Discovery Service Exports API

Operations for exporting discovered data

Amazon Application Discovery Service Imports API

Operations for importing server data

Amazon Application Discovery Service Tags API

Operations for managing configuration item tags

Features 10

The notable capabilities this provider advertises, captured as structured features so they can be searched and compared instead of read one landing page at a time.

Notable capabilities this provider offers.

Agentless Discovery via VMware vCenter integration
Agent-based discovery for physical and virtual servers
Automatic server dependency mapping via network traffic analysis
Application grouping and tagging for migration planning
Data export to Amazon S3 in CSV and GraphML formats
Bulk import of server inventory via CSV files
Integration with AWS Migration Hub for centralized tracking
Continuous data collection with configurable intervals
Server neighbor discovery for dependency visualization
Tag-based filtering and organization of discovered assets

Scroll within the panel for all 10 ·

Semantic Vocabularies 1

JSON-LD contexts give the data shared meaning across APIs. We profile them because semantics are what let a machine reconcile 'customer' here with 'customer' somewhere else.

JSON-LD contexts and semantic vocabularies used across these APIs.

Amazon Application Discovery Service Context

69 classes · 113 properties

JSON-LD

Spectral Rules 2

Governance rulesets we run against this provider's specs — the automated checks behind parts of the score. Profiling them makes the quality bar explicit and re-runnable, not a matter of opinion.

Amazon Application Discovery Service API Rules

5 rules · 3 warnings

SPECTRAL

Amazon Application Discovery Service API Rules

28 rules · 13 errors · 12 warnings

SPECTRAL

JSON Schema 66

Standalone JSON Schema definitions describe the data models behind the API. We profile them so the shapes are validatable on their own — useful long after a single request is forgotten.

Standalone JSON Schema definitions for this provider's data models.

AgentConfigurationStatus

3 properties

JSON SCHEMA

AgentInfo

10 properties

JSON SCHEMA

AgentNetworkInfo

2 properties

JSON SCHEMA

AssociateConfigurationItemsRequest

2 properties

JSON SCHEMA

BatchDeleteAgentError

3 properties

JSON SCHEMA

BatchDeleteAgentsRequest

1 properties

JSON SCHEMA

BatchDeleteAgentsResponse

1 properties

JSON SCHEMA

BatchDeleteConfigurationTask

9 properties

JSON SCHEMA

BatchDeleteImportDataError

3 properties

JSON SCHEMA

BatchDeleteImportDataRequest

2 properties

JSON SCHEMA

BatchDeleteImportDataResponse

1 properties

JSON SCHEMA

ConfigurationTag

5 properties

JSON SCHEMA

ContinuousExportDescription

8 properties

JSON SCHEMA

CreateApplicationRequest

2 properties

JSON SCHEMA

CreateApplicationResponse

1 properties

JSON SCHEMA

CreateTagsRequest

2 properties

JSON SCHEMA

CustomerAgentInfo

7 properties

JSON SCHEMA

CustomerConnectorInfo

7 properties

JSON SCHEMA

DeleteAgent

2 properties

JSON SCHEMA

DeleteApplicationsRequest

1 properties

JSON SCHEMA

DeleteTagsRequest

2 properties

JSON SCHEMA

DeletionWarning

3 properties

JSON SCHEMA

DescribeAgentsRequest

4 properties

JSON SCHEMA

DescribeAgentsResponse

2 properties

JSON SCHEMA

DescribeConfigurationsRequest

1 properties

JSON SCHEMA

DescribeConfigurationsResponse

1 properties

JSON SCHEMA

DescribeContinuousExportsRequest

3 properties

JSON SCHEMA

DescribeContinuousExportsResponse

2 properties

JSON SCHEMA

DescribeExportTasksRequest

4 properties

JSON SCHEMA

DescribeExportTasksResponse

2 properties

JSON SCHEMA

DescribeImportTasksRequest

3 properties

JSON SCHEMA

DescribeImportTasksResponse

2 properties

JSON SCHEMA

DescribeTagsRequest

3 properties

JSON SCHEMA

DescribeTagsResponse

2 properties

JSON SCHEMA

DisassociateConfigurationItemsRequest

2 properties

JSON SCHEMA

ExportFilter

3 properties

JSON SCHEMA

ExportInfo

8 properties

JSON SCHEMA

FailedConfiguration

3 properties

JSON SCHEMA

Filter

3 properties

JSON SCHEMA

GetDiscoverySummaryResponse

8 properties

JSON SCHEMA

ImportTaskFilter

2 properties

JSON SCHEMA

ImportTask

13 properties

JSON SCHEMA

ListConfigurationsRequest

5 properties

JSON SCHEMA

ListConfigurationsResponse

2 properties

JSON SCHEMA

ListServerNeighborsRequest

5 properties

JSON SCHEMA

ListServerNeighborsResponse

3 properties

JSON SCHEMA

NeighborConnectionDetail

5 properties

JSON SCHEMA

OrderByElement

2 properties

JSON SCHEMA

StartContinuousExportResponse

5 properties

JSON SCHEMA

StartDataCollectionByAgentIdsRequest

1 properties

JSON SCHEMA

StartDataCollectionByAgentIdsResponse

1 properties

JSON SCHEMA

StartExportTaskRequest

5 properties

JSON SCHEMA

StartExportTaskResponse

1 properties

JSON SCHEMA

StartImportTaskRequest

3 properties

JSON SCHEMA

StartImportTaskResponse

1 properties

JSON SCHEMA

StopContinuousExportRequest

1 properties

JSON SCHEMA

StopContinuousExportResponse

2 properties

JSON SCHEMA

StopDataCollectionByAgentIdsRequest

1 properties

JSON SCHEMA

StopDataCollectionByAgentIdsResponse

1 properties

JSON SCHEMA

TagFilter

2 properties

JSON SCHEMA

Tag

2 properties

JSON SCHEMA

UpdateApplicationRequest

3 properties

JSON SCHEMA

Scroll within the panel for all 66 ·

JSON Structure 66

JSON Structure captures the data shapes in a form built for tooling — a complement to JSON Schema that keeps the model machine-legible.

JSON Structure definitions describing this provider's data shapes.

Scroll within the panel for all 66 ·

Examples 66

Real request and response payloads are what turn a spec from abstract into obvious — and they're one of the twelve things an agent needs to call an API correctly on the first try.

Example request and response payloads for these APIs.

Scroll within the panel for all 66 ·

Security Posture 3

Authentication, domain security, vulnerability disclosure, and trust-center signals — the evidence that a provider takes security seriously enough to document it. We profile it because you can't govern what you can't see.

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Agentic Access 1

An x-agentic-access contract marks which operations are safe for an agent to run on its own and which need a human in the loop. It is the difference between an API an agent can use and one it can use safely.

Recommended x-agentic-access execution contracts for AI agents.

Amazon Application Discovery Service Agentic Access

26 operations · 26 acting · 2 human-in-the-loop

26 operations · 26 acting

AGENTIC

Use Cases 6

What developers actually build with this provider — captured so the catalogue answers 'what is this for', not just 'what does this expose'.

What developers build with this provider.

Discover all servers and processes in on-premises data centers before migration
Map application dependencies to create migration groups and waves
Export inventory data for detailed analysis and migration planning in third-party tools
Import existing server inventory from CMDBs or spreadsheets without installing agents
Track migration readiness across thousands of servers in a single dashboard
Identify unknown servers and shadow IT in large enterprise environments

Integrations 10

Pre-built integrations with other platforms tell you where this provider already fits in a stack.

Pre-built integrations with other platforms and tools.

AWS Migration Hub
AWS Server Migration Service
AWS Application Migration Service
Amazon EC2
Amazon S3
VMware vCenter
AWS Database Migration Service
AWS CloudFormation
AWS Systems Manager
AWS Cost Explorer

Scroll within the panel for all 10 ·

Resources

Every other property we hold for Amazon Application Discovery Service — documentation, portals, status pages, policies, and corporate surface — grouped by the job it does, following the integrator's arc from getting started to running in production.

Agent Surfaces 3

MCP servers, agent skills, and machine-readable catalogs

Build 1

SDKs, sample code, and the tooling you integrate with

← All providers · Data indexed from github.com/api-evangelist/amazon-application-discovery-service · machine-readable index on apis.io