Amazon Lookout for Vision
Amazon Lookout for Vision is a machine learning service that spots defects and anomalies in visual representations using computer vision. With just a small sample of images, it builds a custom computer vision model to enable you to identify damaged products or issues before production issues arise. It supports projects, datasets, model training, and real-time anomaly detection.
Solid contracts, transparent operations, and an easy start — typically complete on four or five facets with one clear soft spot.
API Evangelist profiles Amazon Lookout for Vision the way a machine reads it — 416 machine-readable artifacts across 2 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 Lookout for Vision scores 69.5/100 (strong), 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
How this is scored →scored 2026-07-27 · rubric v0.5
How we profile Amazon Lookout for Vision
Each block below is one kind of artifact we hold for Amazon Lookout for Vision. 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 2
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 Lookout for Vision Projects API
The Projects API from Amazon Lookout for Vision — 12 operation(s) for projects.
Amazon Lookout for Vision Tags API
The Tags API from Amazon Lookout for Vision — 2 operation(s) for tags.
Pricing Plans 1
Pricing is part of the interface. Machine-readable plans tell you what a tier costs and includes before you commit — one of the six things the Kin Score reads for commercial clarity.
Published pricing tiers and plan structures.
Rate Limits 1
Rate limits are the difference between a demo that works and a production integration that doesn't fall over. Publishing them is an operational-transparency signal — and a hard requirement for any agent that plans its own throughput.
Documented rate limits and quota policies.
Amazon Lookout For Vision Rate Limits
RATE LIMITSFinOps 1
Cost, billing, and metering signals let a buyer model the financial operations of an API before it's live. We profile them for the same reason we profile pricing: the money is part of the contract.
Cost, billing, and metering signals for API financial operations.
Features 5
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.
Custom Computer Vision Models
Build custom visual inspection models with just a small sample of images, no ML expertise required.
Real-Time Defect Detection
Run inference on images in real time to detect defects and anomalies on the production line.
Edge Deployment
Package and deploy models to edge devices for local inference without cloud connectivity.
Dataset Management
Manage labeled training and test datasets directly through the API.
Model Packaging Jobs
Package trained models for deployment to AWS IoT Greengrass edge devices.
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.
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 Lookout for Vision API Rules
SPECTRALAmazon Lookout for Vision API Rules
SPECTRALJSON Schema 131
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.
AnomalyClassFilter
JSON SCHEMAAnomalyList
JSON SCHEMAAnomalyMask
JSON SCHEMAAnomalyName
JSON SCHEMAAnomaly
JSON SCHEMABoolean
JSON SCHEMAClientToken
JSON SCHEMAColor
JSON SCHEMACompilerOptions
JSON SCHEMAComponentDescription
JSON SCHEMAComponentName
JSON SCHEMAComponentVersionArn
JSON SCHEMAComponentVersion
JSON SCHEMAContentType
JSON SCHEMACreateDatasetRequest
JSON SCHEMACreateDatasetResponse
JSON SCHEMACreateModelRequest
JSON SCHEMACreateModelResponse
JSON SCHEMACreateProjectRequest
JSON SCHEMACreateProjectResponse
JSON SCHEMADatasetChanges
JSON SCHEMADatasetDescription
JSON SCHEMADatasetEntryList
JSON SCHEMADatasetEntry
JSON SCHEMADatasetGroundTruthManifest
JSON SCHEMADatasetImageStats
JSON SCHEMADatasetMetadataList
JSON SCHEMADatasetMetadata
JSON SCHEMADatasetSource
JSON SCHEMADatasetStatusMessage
JSON SCHEMADatasetStatus
JSON SCHEMADatasetType
JSON SCHEMADateTime
JSON SCHEMADeleteDatasetRequest
JSON SCHEMADeleteDatasetResponse
JSON SCHEMADeleteModelRequest
JSON SCHEMADeleteModelResponse
JSON SCHEMADeleteProjectRequest
JSON SCHEMADeleteProjectResponse
JSON SCHEMADescribeDatasetRequest
JSON SCHEMADescribeDatasetResponse
JSON SCHEMADescribeModelPackagingJobRequest
JSON SCHEMADescribeModelPackagingJobResponse
JSON SCHEMADescribeModelRequest
JSON SCHEMADescribeModelResponse
JSON SCHEMADescribeProjectRequest
JSON SCHEMADescribeProjectResponse
JSON SCHEMADetectAnomaliesRequest
JSON SCHEMADetectAnomaliesResponse
JSON SCHEMADetectAnomalyResult
JSON SCHEMAFloat
JSON SCHEMAGreengrassConfiguration
JSON SCHEMAGreengrassOutputDetails
JSON SCHEMAImageSource
JSON SCHEMAImageSourceType
JSON SCHEMAInferenceUnits
JSON SCHEMAInputS3Object
JSON SCHEMAInteger
JSON SCHEMAIsLabeled
JSON SCHEMAKmsKeyId
JSON SCHEMAListDatasetEntriesRequest
JSON SCHEMAListDatasetEntriesResponse
JSON SCHEMAListModelPackagingJobsRequest
JSON SCHEMAListModelPackagingJobsResponse
JSON SCHEMAListModelsRequest
JSON SCHEMAListModelsResponse
JSON SCHEMAListProjectsRequest
JSON SCHEMAListProjectsResponse
JSON SCHEMAListTagsForResourceRequest
JSON SCHEMAListTagsForResourceResponse
JSON SCHEMAModelArn
JSON SCHEMAModelDescriptionMessage
JSON SCHEMAModelDescription
JSON SCHEMAModelHostingStatus
JSON SCHEMAModelMetadataList
JSON SCHEMAModelMetadata
JSON SCHEMAModelPackagingConfiguration
JSON SCHEMAModelPackagingDescription
JSON SCHEMAModelPackagingJobDescription
JSON SCHEMAModelPackagingJobMetadata
JSON SCHEMAModelPackagingJobName
JSON SCHEMAModelPackagingJobStatus
JSON SCHEMAModelPackagingJobsList
JSON SCHEMAModelPackagingMethod
JSON SCHEMAModelPackagingOutputDetails
JSON SCHEMAModelPackagingStatusMessage
JSON SCHEMAModelPerformance
JSON SCHEMAModelStatusMessage
JSON SCHEMAModelStatus
JSON SCHEMAModelVersionNoLatest
JSON SCHEMAModelVersion
JSON SCHEMAOutputConfig
JSON SCHEMAOutputS3Object
JSON SCHEMAPageSize
JSON SCHEMAPaginationToken
JSON SCHEMAPixelAnomaly
JSON SCHEMAProjectArn
JSON SCHEMAProjectDescription
JSON SCHEMAProjectMetadataList
JSON SCHEMAProjectMetadata
JSON SCHEMAProjectName
JSON SCHEMAQueryString
JSON SCHEMAS3BucketName
JSON SCHEMAS3KeyPrefix
JSON SCHEMAS3Location
JSON SCHEMAS3ObjectKey
JSON SCHEMAS3ObjectVersion
JSON SCHEMAStartModelPackagingJobRequest
JSON SCHEMAStartModelPackagingJobResponse
JSON SCHEMAStartModelRequest
JSON SCHEMAStartModelResponse
JSON SCHEMAStopModelRequest
JSON SCHEMAStopModelResponse
JSON SCHEMAStream
JSON SCHEMATagArn
JSON SCHEMATagKeyList
JSON SCHEMATagKey
JSON SCHEMATagList
JSON SCHEMATagResourceRequest
JSON SCHEMATagResourceResponse
JSON SCHEMATag
JSON SCHEMATagValue
JSON SCHEMATargetDevice
JSON SCHEMATargetPlatformAccelerator
JSON SCHEMATargetPlatformArch
JSON SCHEMATargetPlatformOs
JSON SCHEMATargetPlatform
JSON SCHEMAUntagResourceRequest
JSON SCHEMAUntagResourceResponse
JSON SCHEMAUpdateDatasetEntriesRequest
JSON SCHEMAUpdateDatasetEntriesResponse
JSON SCHEMAScroll within the panel for all 131 ·
JSON Structure 131
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.
Amazon Lookout For Vision Anomaly Class Filter Structure
JSON STRUCTUREAmazon Lookout For Vision Anomaly List Structure
JSON STRUCTUREAmazon Lookout For Vision Anomaly Mask Structure
JSON STRUCTUREAmazon Lookout For Vision Anomaly Name Structure
JSON STRUCTUREAmazon Lookout For Vision Anomaly Structure
JSON STRUCTUREAmazon Lookout For Vision Boolean Structure
JSON STRUCTUREAmazon Lookout For Vision Client Token Structure
JSON STRUCTUREAmazon Lookout For Vision Color Structure
JSON STRUCTUREAmazon Lookout For Vision Compiler Options Structure
JSON STRUCTUREAmazon Lookout For Vision Component Name Structure
JSON STRUCTUREAmazon Lookout For Vision Component Version Structure
JSON STRUCTUREAmazon Lookout For Vision Content Type Structure
JSON STRUCTUREAmazon Lookout For Vision Create Model Request Structure
JSON STRUCTUREAmazon Lookout For Vision Dataset Changes Structure
JSON STRUCTUREAmazon Lookout For Vision Dataset Description Structure
JSON STRUCTUREAmazon Lookout For Vision Dataset Entry List Structure
JSON STRUCTUREAmazon Lookout For Vision Dataset Entry Structure
JSON STRUCTUREAmazon Lookout For Vision Dataset Image Stats Structure
JSON STRUCTUREAmazon Lookout For Vision Dataset Metadata Structure
JSON STRUCTUREAmazon Lookout For Vision Dataset Source Structure
JSON STRUCTUREAmazon Lookout For Vision Dataset Status Structure
JSON STRUCTUREAmazon Lookout For Vision Dataset Type Structure
JSON STRUCTUREAmazon Lookout For Vision Date Time Structure
JSON STRUCTUREAmazon Lookout For Vision Delete Model Request Structure
JSON STRUCTUREAmazon Lookout For Vision Float Structure
JSON STRUCTUREAmazon Lookout For Vision Image Source Structure
JSON STRUCTUREAmazon Lookout For Vision Image Source Type Structure
JSON STRUCTUREAmazon Lookout For Vision Inference Units Structure
JSON STRUCTUREAmazon Lookout For Vision Input S3 Object Structure
JSON STRUCTUREAmazon Lookout For Vision Integer Structure
JSON STRUCTUREAmazon Lookout For Vision Is Labeled Structure
JSON STRUCTUREAmazon Lookout For Vision Kms Key Id Structure
JSON STRUCTUREAmazon Lookout For Vision List Models Request Structure
JSON STRUCTUREAmazon Lookout For Vision List Models Response Structure
JSON STRUCTUREAmazon Lookout For Vision Model Arn Structure
JSON STRUCTUREAmazon Lookout For Vision Model Description Structure
JSON STRUCTUREAmazon Lookout For Vision Model Hosting Status Structure
JSON STRUCTUREAmazon Lookout For Vision Model Metadata List Structure
JSON STRUCTUREAmazon Lookout For Vision Model Metadata Structure
JSON STRUCTUREAmazon Lookout For Vision Model Performance Structure
JSON STRUCTUREAmazon Lookout For Vision Model Status Message Structure
JSON STRUCTUREAmazon Lookout For Vision Model Status Structure
JSON STRUCTUREAmazon Lookout For Vision Model Version Structure
JSON STRUCTUREAmazon Lookout For Vision Output Config Structure
JSON STRUCTUREAmazon Lookout For Vision Output S3 Object Structure
JSON STRUCTUREAmazon Lookout For Vision Page Size Structure
JSON STRUCTUREAmazon Lookout For Vision Pagination Token Structure
JSON STRUCTUREAmazon Lookout For Vision Pixel Anomaly Structure
JSON STRUCTUREAmazon Lookout For Vision Project Arn Structure
JSON STRUCTUREAmazon Lookout For Vision Project Description Structure
JSON STRUCTUREAmazon Lookout For Vision Project Metadata Structure
JSON STRUCTUREAmazon Lookout For Vision Project Name Structure
JSON STRUCTUREAmazon Lookout For Vision Query String Structure
JSON STRUCTUREAmazon Lookout For Vision S3 Bucket Name Structure
JSON STRUCTUREAmazon Lookout For Vision S3 Key Prefix Structure
JSON STRUCTUREAmazon Lookout For Vision S3 Location Structure
JSON STRUCTUREAmazon Lookout For Vision S3 Object Key Structure
JSON STRUCTUREAmazon Lookout For Vision S3 Object Version Structure
JSON STRUCTUREAmazon Lookout For Vision Start Model Request Structure
JSON STRUCTUREAmazon Lookout For Vision Start Model Response Structure
JSON STRUCTUREAmazon Lookout For Vision Stop Model Request Structure
JSON STRUCTUREAmazon Lookout For Vision Stop Model Response Structure
JSON STRUCTUREAmazon Lookout For Vision Stream Structure
JSON STRUCTUREAmazon Lookout For Vision Tag Arn Structure
JSON STRUCTUREAmazon Lookout For Vision Tag Key List Structure
JSON STRUCTUREAmazon Lookout For Vision Tag Key Structure
JSON STRUCTUREAmazon Lookout For Vision Tag List Structure
JSON STRUCTUREAmazon Lookout For Vision Tag Resource Request Structure
JSON STRUCTUREAmazon Lookout For Vision Tag Structure
JSON STRUCTUREAmazon Lookout For Vision Tag Value Structure
JSON STRUCTUREAmazon Lookout For Vision Target Device Structure
JSON STRUCTUREAmazon Lookout For Vision Target Platform Arch Structure
JSON STRUCTUREAmazon Lookout For Vision Target Platform Os Structure
JSON STRUCTUREAmazon Lookout For Vision Target Platform Structure
JSON STRUCTUREScroll within the panel for all 131 ·
Examples 131
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 131 ·
Security Posture 4
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.
Use Cases 5
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.
Manufacturing Quality Control
Automate visual inspection of manufactured products to detect surface defects, assembly errors, and damaged items.
Electronics Assembly Inspection
Detect solder defects, missing components, and board damage in electronics manufacturing.
Food and Beverage Quality
Identify contaminated, damaged, or improperly packaged food products on production lines.
Pharmaceutical Packaging
Verify correct labeling, packaging integrity, and tablet quality in pharmaceutical manufacturing.
Automotive Parts Inspection
Detect cracks, scratches, and dimensional defects in automotive components.
Resources
Every other property we hold for Amazon Lookout for Vision — 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.
Get Started 4
Portal, sign-up, and the first successful call
Documentation 1
Reference material describing how the API behaves
Agent Surfaces 1
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 2
Pagination, idempotency, versioning, errors, and events
Build 1
SDKs, sample code, and the tooling you integrate with
Access & Security 4
Authentication, authorization, and security posture
Operate 3
Status, limits, changes, and where to get help
Commercial 2
Pricing, plans, and the legal terms of use
Company 1
The organization behind the API
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