Amazon Lookout for Equipment

Amazon Lookout for Equipment uses machine learning to analyze sensor data from your industrial equipment and detect abnormal patterns that signal potential failures. It helps you avoid unplanned equipment downtime by identifying potential equipment failures before they occur.

Amazon Lookout for Equipment publishes 9 API contracts indexed on the APIs.io network, including Datasets API, Lookout For Equipment Data Ingestion Job API, Lookout For Equipment Inference Scheduler API, and 6 more. Tagged areas include Amazon Web Services, Equipment Monitoring, Industrial IoT, Machine Learning, and Predictive Maintenance.

The Amazon Lookout for Equipment catalog on APIs.io includes 1 JSON-LD context and 2 Spectral governance rulesets.

Amazon Lookout for Equipment’s developer surface includes pricing, authentication, developer portal, documentation, support, engineering blog, developer console, and 20 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

59.5/100 strong ▬ flat Agent 28/100 agent aware saas Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

AccessPaid

1 published contract 5 Features 4 Use Cases

Amazon Web ServicesEquipment MonitoringIndustrial IoT Machine Learning Predictive Maintenance

What this lets a business do 2

Business capabilities this provider's published APIs can perform, derived from its own contracts. Browse all capabilities →

AI Model Services

AE-110

amazon-lookout-for-equipment-data-ingestion-job-apiamazon-lookout-for-equipment-inference-scheduler-apiamazon-lookout-for-equipment-model-version-apiamazon-lookout-for-equipment-operations-api

POST /#CreateInferenceScheduler POST /#StartDataIngestionJob POST /#ImportModelVersion POST /#ListInferenceExecutions

Information & Data Management

BC-610

Datasetsamazon-lookout-for-equipment-retraining-scheduler-api

POST /datasets POST /models POST /inference-schedulers/{InferenceSchedulerName}/start POST /#CreateRetrainingScheduler

Kin Score

Kin Score How this is scored →
scored 2026-11-06 · rubric v0.27.0

Composite quality — 59.5/100 · strong

Contract Quality 12.8 / 19

Developer Ergonomics 6.6 / 15

Access Clarity 12.8 / 15

Operational Transparency 3.6 / 10

Contract Governance 2.5 / 9

Discoverability 5.0 / 8

Regulatory Posture 4.9 / 15

Create-or-Update Ergonomics 0.0 / 10

Agent readiness — 28/100 · agent aware

Machine-Readable Contract 18 / 18

Agentic Access Contract 10 / 10

Documented Reversibility 0 / 6

MCP Server 0 / 12

Machine-Readable Auth 10 / 10

Idempotency 0 / 9

Stable Error Semantics 8 / 8

Request/Response Examples 7 / 7

Rate-Limit Signaling 7 / 7

Typed Event Surface 0 / 6

Agent Skills 0 / 5

Well-Known Catalog 0 / 4

Consent & Bot Identity 0 / 3

A2A Agent Card 0 / 8

Dry-Run / Simulate Mode 0 / 4

Delegated User Identity 0 / 6

Protected Resource Metadata 0 / 5

Registration Without a Human 0 / 6

Agentic Commerce Well-Known Document 0 / 5

Pagination 5 / 5

Distinct Operations 3 / 3

MCP Tool Quality 6 / 6

Regulatory Posture applies to this provider. Its tags matched the Horizontal (data, software, accessibility, platform) regime, so Regulatory Posture carries 15 points of the composite. If this regime is wrong for your business, say so on your provider repo — the applicability map is public and we will correct it.

Create-or-Update Ergonomics applies to this provider. This API accepts writes, so it carries 10 points of the composite. It is scored from the published contracts themselves: whether a caller can create-or-update in one call, whether the write accepts a key the caller already holds, and whether the response says which branch ran. Without that, every write needs a search-and-branch in front of it, and the first time that check is skipped a duplicate record is created. Scored against the observed mean rather than raw — a provider at the catalog average is unchanged by this facet, not penalised by it.

The six quality facets above are damped to 75 points between them, because the conditional facet above carries the other 25. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 75% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.

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Agent readiness — checks not met, largest first (exact, from this profile):

MCP Server +12 pts — deployment.mode + probe verdict on the mcp/ manifest, not the pointer; an unprobed slug falls back to authorship
Idempotency +9 pts — OpenAPI mutating operations declare an idempotency key — a header, a request-body property, or a named de-duplication token whose own description says so (verified); else common[].type matches /idempoten/i (documented)
A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0
Registration Without a Human +6 pts — a `registration_endpoint` in the served RFC 8414 / OIDC discovery document
Delegated User Identity +6 pts — a served discovery document listing authorization_code in grant_types_supported (served), else an oauth2 authorizationCode flow or openIdConnect declared in an OpenAPI (documented)
Typed Event Surface +6 pts — AsyncAPI document, OR webhooks/callbacks objects in the as-published OpenAPI, OR common[].type includes Webhooks

7 more unmet checks in the Agent Readiness table above.

Kin Score — facets with the most composite points still available (weight × headroom):

Developer Ergonomics scores 44.0 — up to +11.2 composite points
Contract Governance scores 27.3 — up to +8.7 composite points
Operational Transparency scores 36.8 — up to +8.2 composite points

Each check links to what satisfies it. Publish the artifact, or tell us where it already lives, and the score moves on the next scoring run.

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. Every facet and dimension name above is a link: it opens that measurement's own page — what it means, the exact checks that feed it, how the whole catalog distributes on it, and the providers at the top of it. This rating is computed from the provider profile at artifacts.apis.io/amazon-lookout-for-equipment/apis.yml: open an issue on github.com/api-evangelist/amazon-lookout-for-equipment to ask a question or point us at an artifact you publish. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

Standards implemented 1

Standards this provider implements or carries. De facto ones are profiled and measured by the API Commons; formal ones come from the standards directory and are linked by the provider's own tags. The evidence column says how each claim was established — not that it was made.

OpenAPI

measured — observed by APIs.io (published)

APIs 9

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

Amazon Lookout for Equipment Datasets API

Equipment sensor dataset management

Amazon Lookout for Equipment Lookout For Equipment Data Ingestion Job API

The Lookout For Equipment Data Ingestion Job API from Amazon Lookout for Equipment — 3 operation(s) for lookout for equipment data ingestion job.

Amazon Lookout for Equipment Lookout For Equipment Inference Scheduler API

The Lookout For Equipment Inference Scheduler API from Amazon Lookout for Equipment — 6 operation(s) for lookout for equipment inference scheduler.

Amazon Lookout for Equipment Lookout For Equipment Label API

The Lookout For Equipment Label API from Amazon Lookout for Equipment — 4 operation(s) for lookout for equipment label.

Amazon Lookout for Equipment Lookout For Equipment Label Group API

The Lookout For Equipment Label Group API from Amazon Lookout for Equipment — 5 operation(s) for lookout for equipment label group.

Amazon Lookout for Equipment Lookout For Equipment Model Version API

The Lookout For Equipment Model Version API from Amazon Lookout for Equipment — 3 operation(s) for lookout for equipment model version.

Amazon Lookout for Equipment Lookout For Equipment Operations API

The Lookout For Equipment Operations API from Amazon Lookout for Equipment — 9 operation(s) for lookout for equipment operations.

Amazon Lookout for Equipment Lookout For Equipment Resource Policy API

The Lookout For Equipment Resource Policy API from Amazon Lookout for Equipment — 3 operation(s) for lookout for equipment resource policy.

Amazon Lookout for Equipment Lookout For Equipment Retraining Scheduler API

The Lookout For Equipment Retraining Scheduler API from Amazon Lookout for Equipment — 7 operation(s) for lookout for equipment retraining scheduler.

Scroll for all 9

Postman Collections 1

Ready-to-run Postman collections for exercising this provider's APIs.

Amazon Lookout for Equipment Datasets API

POSTMAN

Open Collections 2

Open, tool-agnostic API collections (OpenAPI-derived and Bruno).

Amazon Lookout for Equipment Datasets API

OPEN COLLECTION

Amazon Lookout for Equipment API

OPEN COLLECTION

Amazon Lookout for Equipment API pricing

Prices published by Amazon Lookout for Equipment, read 2026-10-07 from aws.amazon.com/lookout-for-equipment/pricing/.

Plan	Price
Data Ingestion	$0.20 per GB Includes: Free trial: Up to 50 GB data ingestion in first month
Model Training	$0.24 per training hour Includes: Free trial: Up to 250 training hours
Scheduled Inference	$0.25 per inference hour Includes: Free trial: Up to 168 hours of scheduled inference

Plan details, limits and sources →

Rate limits

Free Tier Default: 10 requests per minute
Free Tier Monthly Quota: 1000 requests per month
Professional Tier Default: 100 requests per minute

Compiled by API Evangelist, not yet checked against Amazon Lookout for Equipment's documentation. All 5 limits →

Billed by: gb ingested · FinOps profile →

Pricing Plans 1

Published pricing tiers and plan structures.

Amazon Lookout For Equipment Plans Pricing

3 plans

PLANS

Rate Limits 1

Documented rate limits and quota policies.

Amazon Lookout For Equipment Rate Limits

5 limits

RATE LIMITS

Service Levels 1

Uptime the provider promises or reports, as SLA4OAI. Read from its own pages; APIs.io runs no monitors.

Amazon Lookout for Equipment

SLA

FinOps 1

Cost, billing, and metering signals for API financial operations.

Amazon Lookout For Equipment Finops

FINOPS

Features 5

Notable capabilities this provider offers.

Anomaly Detection

Detect abnormal equipment behavior using ML models trained on equipment sensor data.

Predictive Maintenance

Predict equipment failures before they occur to reduce unplanned downtime.

No ML Expertise Required

Automatically build ML models from historical sensor data without data science expertise.

Multi-Sensor Support

Analyze data from hundreds of sensors simultaneously to detect complex failure patterns.

Real-Time Inference

Run continuous inference on streaming sensor data for real-time failure detection.

Semantic Vocabularies 1

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

Amazon Lookout For Equipment Context

2 classes · 7 properties

JSON-LD

Spectral Rules 2

Spectral governance rulesets for linting and validating these APIs.

Amazon Lookout for Equipment — jsonschema rules

5 rules · 4 warnings 1 info

SPECTRAL

Amazon Lookout for Equipment API Rules

24 rules · 9 errors 15 warnings

SPECTRAL

JSON Schema 2

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

Dataset

5 properties

JSON SCHEMA

Model

7 properties

JSON SCHEMA

JSON Structure 2

JSON Structure definitions describing this provider's data shapes.

Amazon Lookout For Equipment Dataset Structure

5 properties

JSON STRUCTURE

Amazon Lookout For Equipment Model Structure

7 properties

JSON STRUCTURE

Examples 2

Example request and response payloads for these APIs.

Amazon Lookout For Equipment Dataset Example

5 fields

EXAMPLE

Amazon Lookout For Equipment Model Example

7 fields

EXAMPLE

Security Posture 4

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

Amazon Lookout For Equipment Authentication

apiKey · 1 scheme

SECURITY

Amazon Lookout For Equipment Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Amazon Lookout For Equipment Vulnerability Disclosure

security.txt · contact published

SECURITY

Amazon Lookout For Equipment Trust Center

PCI DSS, HIPAA, FedRAMP, GDPR, FIPS 140

SECURITY

Agentic Access 1

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

Amazon Lookout For Equipment Agentic Access

8 operations · 4 acting

AGENTIC

Use Cases 4

What developers build with this provider.

Manufacturing Predictive Maintenance

Detect early warning signs of equipment failures in manufacturing machinery.

Energy Sector Monitoring

Monitor industrial equipment in power plants, wind turbines, and oil refineries.

Mining Equipment Health

Track the health of heavy mining equipment to prevent costly breakdowns.

HVAC System Monitoring

Detect anomalies in HVAC systems to prevent equipment failures in buildings.

Resources

Get Started 5

Portal, sign-up, and the first successful call

Portal

Portal

Console

Signup

Login

Documentation 1

Reference material describing how the API behaves

Documentation

Documentation

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

AgenticAccess

AgenticAccess

Design & Contract 2

Pagination, idempotency, versioning, errors, and events

SpectralRules

SpectralRules

Vocabulary

Vocabulary

Build 2

SDKs, sample code, and the tooling you integrate with

PostmanWorkspace

PostmanWorkspace

GitHubOrganization

GitHubOrganization

Access & Security 4

Authentication, authorization, and security posture

TrustCenter

TrustCenter

VulnerabilityDisclosure

VulnerabilityDisclosure

DomainSecurity

DomainSecurity

Authentication

Authentication

Operate 4

Status, limits, changes, and where to get help

RateLimits

Support

StatusPage

Contact

Commercial 5

Pricing, plans, and the legal terms of use

Pricing

FinOps

Plans

TermsOfService

PrivacyPolicy

Company 2

The organization behind the API

Website

Website

Blog

Blog

Other 1

Properties that don't map to a standard resource type

CapabilityMap

CapabilityMap

Source (apis.yml)

aid: amazon-lookout-for-equipment
name: Amazon Lookout for Equipment
description: Amazon Lookout for Equipment uses machine learning to analyze sensor data from your industrial equipment and
  detect abnormal patterns that signal potential failures. It helps you avoid unplanned equipment downtime by identifying
  potential equipment failures before they occur.
type: Index
deliveryModel:
  model: saas
  open_source: false
  commercial: true
  callable_host: true
  label: Hosted service · you call their endpoint
  confidence: high
  source:
  - openapi
  - pricing
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: paid
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Paid
  confidence: medium
  source:
  - plans
  - authentication
  - security
  generated: '2026-11-06'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/amazon-lookout-for-equipment.png
tags:
- Amazon Web Services
- Equipment Monitoring
- Industrial IoT
- Machine Learning
- Predictive Maintenance
tags_raw:
- AWS
- Equipment Monitoring
- Industrial IoT
- Machine Learning
- Predictive Maintenance
- Machine-Learning
url: https://raw.githubusercontent.com/api-evangelist/amazon-lookout-for-equipment/refs/heads/main/apis.yml
created: '2026-03-16'
modified: '2026-09-16'
specificationVersion: '0.23'
apis:
- aid: amazon-lookout-for-equipment:amazon-lookout-for-equipment-datasets-api
  name: Amazon Lookout for Equipment Datasets API
  description: Equipment sensor dataset management
  humanURL: https://aws.amazon.com/lookout-for-equipment/
  baseURL: https://lookoutequipment.amazonaws.com
  tags:
  - Datasets
  properties:
  - type: OpenAPI
    url: openapi/amazon-lookout-for-equipment-datasets-api-openapi.yml
  - type: Documentation
    url: https://docs.aws.amazon.com/lookout-for-equipment/latest/ug/API_Reference.html
  - type: GettingStarted
    url: https://aws.amazon.com/lookout-for-equipment/getting-started/
  - type: Pricing
    url: https://aws.amazon.com/lookout-for-equipment/pricing/
  - type: FAQ
    url: https://aws.amazon.com/lookout-for-equipment/faqs/
  - type: JSONSchema
    url: json-schema/amazon-lookout-for-equipment-dataset-schema.json
  - type: JSONSchema
    url: json-schema/amazon-lookout-for-equipment-model-schema.json
  - type: JSONLD
    url: json-ld/amazon-lookout-for-equipment-context.jsonld
- aid: amazon-lookout-for-equipment:amazon-lookout-for-equipment-data-ingestion-job-api
  name: Amazon Lookout for Equipment Lookout For Equipment Data Ingestion Job API
  description: The Lookout For Equipment Data Ingestion Job API from Amazon Lookout for Equipment — 3 operation(s) for lookout
    for equipment data ingestion job.
  humanURL: https://aws.amazon.com/lookout-for-equipment/
  baseURL: https://lookoutequipment.amazonaws.com
  tags:
  - Lookout For Equipment Data Ingestion Job
  properties:
  - type: OpenAPI
    url: openapi/amazon-lookout-for-equipment-data-ingestion-job-api-openapi.yml
- aid: amazon-lookout-for-equipment:amazon-lookout-for-equipment-inference-scheduler-api
  name: Amazon Lookout for Equipment Lookout For Equipment Inference Scheduler API
  description: The Lookout For Equipment Inference Scheduler API from Amazon Lookout for Equipment — 6 operation(s) for lookout
    for equipment inference scheduler.
  humanURL: https://aws.amazon.com/lookout-for-equipment/
  baseURL: https://lookoutequipment.amazonaws.com
  tags:
  - Lookout For Equipment Inference Scheduler
  properties:
  - type: OpenAPI
    url: openapi/amazon-lookout-for-equipment-inference-scheduler-api-openapi.yml
- aid: amazon-lookout-for-equipment:amazon-lookout-for-equipment-label-api
  name: Amazon Lookout for Equipment Lookout For Equipment Label API
  description: The Lookout For Equipment Label API from Amazon Lookout for Equipment — 4 operation(s) for lookout for equipment
    label.
  humanURL: https://aws.amazon.com/lookout-for-equipment/
  baseURL: https://lookoutequipment.amazonaws.com
  tags:
  - Lookout For Equipment Label
  properties:
  - type: OpenAPI
    url: openapi/amazon-lookout-for-equipment-label-api-openapi.yml
- aid: amazon-lookout-for-equipment:amazon-lookout-for-equipment-label-group-api
  name: Amazon Lookout for Equipment Lookout For Equipment Label Group API
  description: The Lookout For Equipment Label Group API from Amazon Lookout for Equipment — 5 operation(s) for lookout for
    equipment label group.
  humanURL: https://aws.amazon.com/lookout-for-equipment/
  baseURL: https://lookoutequipment.amazonaws.com
  tags:
  - Lookout For Equipment Label Group
  properties:
  - type: OpenAPI
    url: openapi/amazon-lookout-for-equipment-label-group-api-openapi.yml
- aid: amazon-lookout-for-equipment:amazon-lookout-for-equipment-model-version-api
  name: Amazon Lookout for Equipment Lookout For Equipment Model Version API
  description: The Lookout For Equipment Model Version API from Amazon Lookout for Equipment — 3 operation(s) for lookout
    for equipment model version.
  humanURL: https://aws.amazon.com/lookout-for-equipment/
  baseURL: https://lookoutequipment.amazonaws.com
  tags:
  - Lookout For Equipment Model Version
  properties:
  - type: OpenAPI
    url: openapi/amazon-lookout-for-equipment-model-version-api-openapi.yml
- aid: amazon-lookout-for-equipment:amazon-lookout-for-equipment-operations-api
  name: Amazon Lookout for Equipment Lookout For Equipment Operations API
  description: The Lookout For Equipment Operations API from Amazon Lookout for Equipment — 9 operation(s) for lookout for
    equipment operations.
  humanURL: https://aws.amazon.com/lookout-for-equipment/
  baseURL: https://lookoutequipment.amazonaws.com
  tags:
  - Lookout For Equipment Operations
  properties:
  - type: OpenAPI
    url: openapi/amazon-lookout-for-equipment-operations-api-openapi.yml
- aid: amazon-lookout-for-equipment:amazon-lookout-for-equipment-resource-policy-api
  name: Amazon Lookout for Equipment Lookout For Equipment Resource Policy API
  description: The Lookout For Equipment Resource Policy API from Amazon Lookout for Equipment — 3 operation(s) for lookout
    for equipment resource policy.
  humanURL: https://aws.amazon.com/lookout-for-equipment/
  baseURL: https://lookoutequipment.amazonaws.com
  tags:
  - Lookout For Equipment Resource Policy
  properties:
  - type: OpenAPI
    url: openapi/amazon-lookout-for-equipment-resource-policy-api-openapi.yml
- aid: amazon-lookout-for-equipment:amazon-lookout-for-equipment-retraining-scheduler-api
  name: Amazon Lookout for Equipment Lookout For Equipment Retraining Scheduler API
  description: The Lookout For Equipment Retraining Scheduler API from Amazon Lookout for Equipment — 7 operation(s) for lookout
    for equipment retraining scheduler.
  humanURL: https://aws.amazon.com/lookout-for-equipment/
  baseURL: https://lookoutequipment.amazonaws.com
  tags:
  - Lookout For Equipment Retraining Scheduler
  properties:
  - type: OpenAPI
    url: openapi/amazon-lookout-for-equipment-retraining-scheduler-api-openapi.yml
common:
- type: Pricing
  url: https://aws.amazon.com/lookout-for-equipment/pricing/
- type: RateLimits
  url: rate-limits/amazon-lookout-for-equipment-rate-limits.yml
- type: FinOps
  url: finops/amazon-lookout-for-equipment-finops.yml
- type: Plans
  url: plans/amazon-lookout-for-equipment-plans-pricing.yml
- type: CapabilityMap
  url: capabilities/amazon-lookout-for-equipment-capability-edges.yml
  name: Amazon Lookout for Equipment Business Capability Map
- type: Website
  url: https://aws.amazon.com/lookout-for-equipment/
- type: PostmanWorkspace
  url: https://www.postman.com/kinlaneapi/amazon-lookout-for-equipment/overview
- type: AgenticAccess
  url: agentic-access/amazon-lookout-for-equipment-agentic-access.yml
- type: TrustCenter
  url: security/amazon-lookout-for-equipment-trust-center.yml
- type: VulnerabilityDisclosure
  url: security/amazon-lookout-for-equipment-vulnerability-disclosure.yml
- type: DomainSecurity
  url: security/amazon-lookout-for-equipment-domain-security.yml
- type: Authentication
  url: authentication/amazon-lookout-for-equipment-authentication.yml
- type: Portal
  url: https://aws.amazon.com/lookout-for-equipment/
- type: Portal
  url: https://aws.amazon.com/lookout-for-equipment/
- type: Documentation
  url: https://docs.aws.amazon.com/lookout-for-equipment/
- type: TermsOfService
  url: https://aws.amazon.com/service-terms/
- type: PrivacyPolicy
  url: https://aws.amazon.com/privacy/
- type: Support
  url: https://aws.amazon.com/premiumsupport/
- type: Blog
  url: https://aws.amazon.com/blogs/machine-learning/tag/amazon-lookout-for-equipment/
- type: GitHubOrganization
  url: https://github.com/aws
- type: Console
  url: https://console.aws.amazon.com/lookoutequipment/
- type: Signup
  url: https://portal.aws.amazon.com/billing/signup
- type: Login
  url: https://signin.aws.amazon.com/
- type: StatusPage
  url: https://health.aws.amazon.com/health/status
- type: Contact
  url: https://aws.amazon.com/contact-us/
- type: Features
  data:
  - name: Anomaly Detection
    description: Detect abnormal equipment behavior using ML models trained on equipment sensor data.
  - name: Predictive Maintenance
    description: Predict equipment failures before they occur to reduce unplanned downtime.
  - name: No ML Expertise Required
    description: Automatically build ML models from historical sensor data without data science expertise.
  - name: Multi-Sensor Support
    description: Analyze data from hundreds of sensors simultaneously to detect complex failure patterns.
  - name: Real-Time Inference
    description: Run continuous inference on streaming sensor data for real-time failure detection.
- type: UseCases
  data:
  - name: Manufacturing Predictive Maintenance
    description: Detect early warning signs of equipment failures in manufacturing machinery.
  - name: Energy Sector Monitoring
    description: Monitor industrial equipment in power plants, wind turbines, and oil refineries.
  - name: Mining Equipment Health
    description: Track the health of heavy mining equipment to prevent costly breakdowns.
  - name: HVAC System Monitoring
    description: Detect anomalies in HVAC systems to prevent equipment failures in buildings.
- type: Integrations
  data:
  - name: Amazon S3
    description: Store and access equipment sensor data in S3 for model training and inference.
  - name: AWS IoT SiteWise
    description: Collect and organize equipment sensor data with IoT SiteWise and analyze with Lookout.
  - name: Amazon Kinesis Data Streams
    description: Stream real-time sensor data from equipment to Lookout for Equipment.
  - name: AWS IoT Core
    description: Connect industrial equipment to AWS via IoT Core for data ingestion.
- type: SpectralRules
  url: rules/amazon-lookout-for-equipment-spectral-rules.yml
- type: Vocabulary
  url: vocabulary/amazon-lookout-for-equipment-vocabulary.yaml
- type: Integrations
  url: https://aws.amazon.com/marketplace
integrations:
- name: Sign in
- name: Agent Mode
- name: Why AWS Marketplace?
- name: Get started in AWS Marketplace
- name: Industry
- name: Resources
- name: Become a Channel Partner
- name: Sell in AWS Marketplace
- name: Manage Your Account
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
x-parent: amazon-web-services
x-relationship: product

Amazon Lookout for Equipment API — frequently asked questions

Does Amazon Lookout for Equipment have an API?

Yes. APIs.io lists 9 APIs from Amazon Lookout for Equipment, including Amazon Lookout for Equipment Datasets API, Amazon Lookout for Equipment Lookout For Equipment Data Ingestion Job API and Amazon Lookout for Equipment Lookout For Equipment Inference Scheduler API, and 6 more.

Is there an OpenAPI specification for the Amazon Lookout for Equipment API?

Yes. APIs.io indexes 9 OpenAPI specifications for Amazon Lookout for Equipment, each linked for download from this page.

How do I authenticate with the Amazon Lookout for Equipment API?

Amazon Lookout for Equipment uses bearer-token authentication (apiKey · 1 scheme). The details are profiled on APIs.io as Amazon Lookout For Equipment Authentication.

How much does the Amazon Lookout for Equipment API cost?

Amazon Lookout for Equipment publishes its prices; its Data Ingestion plan is $0.20 per GB as of 2026-10-07. APIs.io lists 3 pricing plans for Amazon Lookout for Equipment, with each plan's price, limits and inclusions under Pricing on this page.

Is the Amazon Lookout for Equipment API ready for AI agents?

Amazon Lookout for Equipment has a Kin Score of 59.5 out of 100 (strong) and an Agent Readiness score of 27.7 (agent-aware), scored by API Evangelist on 2026-11-06.

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How their score was established

curl "https://apis.io/api/v1/providers/amazon-lookout-for-equipment/evidence"

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