Amazon SageMaker

Amazon SageMaker is a fully managed machine learning platform that enables developers and data scientists to build, train, and deploy machine learning models at scale. SageMaker removes the heavy lifting from each step of the machine learning process, providing built-in algorithms, managed Jupyter notebooks, distributed training, automatic model tuning, and one-click deployment to production endpoints with auto-scaling.

Amazon SageMaker publishes 79 API contracts indexed on the APIs.io network, including Endpoints API, Models API, Notebook Instances API, and 76 more. Tagged areas include Artificial Intelligence, Amazon Web Services, Inference, Machine Learning, and MLOps.

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

Amazon SageMaker’s developer surface includes developer portal, getting-started guide, documentation, API reference, developer console, signup flow, pricing, and 55 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

71.2/100 exemplar ▬ flat Agent 33/100 agent ready open core · Apache-2.0 Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

AccessPaid

1 published contract 13 Features 8 Use Cases

Artificial Intelligence Amazon Web Services Inference Machine Learning MLOps Training Model Training

What this lets a business do 3

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

Information & Data Management

BC-610

EndpointsModelsNotebook InstancesTraining Jobsamazon-sagemaker-ai-benchmark-job-apiamazon-sagemaker-ai-recommendation-job-api

POST /#CreateModel POST /#CreateTrainingJob POST /#CreateModelBiasJobDefinition POST /#CreateModelExplainabilityJobDefinition

AI Model Services

AE-110

amazon-sagemaker-hyper-parameter-tuning-job-apiamazon-sagemaker-inference-component-apiamazon-sagemaker-labeling-job-apiamazon-sagemaker-training-session-api

POST /#CreateTrainingSession

Information Technology Management

BC-600

amazon-sagemaker-cluster-apiamazon-sagemaker-cluster-node-api

POST /#CreateCluster POST /#BatchAddClusterNodes POST /#BatchDeleteClusterNodes

What people ask Amazon SageMaker 4

The questions people put to an LLM, and the jobs they hand an agent, that Amazon SageMaker's APIs answer — each one linked to the operation that does it. Generated by API Evangelist

Amazon SageMaker Training Jobs API Start a model training job “How do I kick off training a model on my own data in SageMaker?” Check the progress of one training job “Has my training job finished, and did it succeed or fail?” List training jobs “Which training jobs have I run recently?”

Amazon SageMaker Notebook Instances API Launch a Jupyter notebook instance “How do I spin up a hosted Jupyter notebook in SageMaker for exploring data?” Get the status and settings of one notebook “Is my Jupyter notebook instance running or stopped right now?” List notebook instances in the account “Which Jupyter notebook instances exist in my account?”

Amazon SageMaker Models API Register a model with its inference container “How do I register my model artifacts and inference code so SageMaker can host them?” Look up one registered model “What container image and execution role is a given model set up with?” List registered models “Which models have I registered in SageMaker so far?”

Amazon SageMaker Endpoints API Deploy a model to a live hosting endpoint “How do I put a trained model behind a live SageMaker endpoint for real-time predictions?” Check the details and status of one endpoint “Is my inference endpoint finished provisioning and ready to take traffic?” List hosting endpoints in the account “Which inference endpoints do I have running in my account right now?”

Kin Score

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

Composite quality — 71.2/100 · exemplar

Contract Quality 12.3 / 16

Developer Ergonomics 8.8 / 13

Access Clarity 13.0 / 13

Operational Transparency 4.4 / 8

Contract Governance 2.1 / 8

Discoverability 4.4 / 7

Regulatory Posture 4.1 / 15

Open Source Surface 6.5 / 10

Create-or-Update Ergonomics 1.1 / 10

Agent readiness — 33/100 · agent ready

Machine-Readable Contract 18 / 18

Agentic Access Contract 10 / 10

Documented Reversibility 0 / 6

MCP Server 0 / 12

Machine-Readable Auth 10 / 10

Idempotency 9 / 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.

Open Source Surface applies to this provider. This product is open source and we read its repository directly, so Open Source Surface carries 10 points of the composite. It is scored from what the repository actually publishes — a security policy, a contribution guide, a release history, a code of conduct — read live from the provider rather than inferred from our own catalog pointers. This facet adds; nothing was taken away to make room for it. An open-source project is not excused from the commercial facets, because exemption would strip it of the points it does earn. If we have the wrong repository, or this product is not open source, say so on your provider repo and we will drop the facet rather than have you publish against 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 65 points between them, because both conditional facets apply and carry 35 points together. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 65% 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
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
Documented Reversibility +6 pts — a reversal operation in the contract, graded up when a window is documented too

6 more unmet checks in the Agent Readiness table above.

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

Contract Governance scores 27.3 — up to +8.7 composite points
Developer Ergonomics scores 67.9 — up to +6.4 composite points
Operational Transparency scores 52.6 — up to +6.2 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-sagemaker/apis.yml: open an issue on github.com/api-evangelist/amazon-sagemaker 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 →

Markets this provider is in provisional

The Kin Score Market layer reads a provider inside its market: its position, and how deep its integrations go. Depth is only comparable within a position. Provisional and unweighted: not part of the Kin Score or agent readiness.

Market	Position	Depth	Registered MCP server	Declares compatibility
Retrieval, Vector and RAG	covered	40.7	-	-

Registered MCP server and declares compatibility are report only — not weighted. Undeclared means we found nothing we can read, so there is no number: we never infer integrations.

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 79

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

Amazon SageMaker Runtime API

The Amazon SageMaker AI runtime API for invoking deployed model endpoints to get real-time inference predictions.

Amazon SageMaker Feature Store Runtime API

Data plane API operations for the Amazon SageMaker Feature Store supporting put, delete, and retrieve operations for ML features.

Amazon SageMaker Metrics Service API

Data plane API operations for Amazon SageMaker Metrics for putting and retrieving metrics related to training runs.

Amazon SageMaker Geospatial API

APIs for creating and managing Amazon SageMaker geospatial capabilities including earth observation jobs and vector enrichment jobs.

Amazon SageMaker Edge Manager API

SageMaker Edge Manager dataplane service for communicating with active edge agents running ML models on edge devices.

Amazon SageMaker Endpoints API

Operations for managing SageMaker endpoints.

Amazon SageMaker Models API

Operations for managing SageMaker models.

Amazon SageMaker Notebook Instances API

Operations for managing SageMaker notebook instances.

Amazon SageMaker Training Jobs API

Operations for managing SageMaker training jobs.

Amazon SageMaker Sagemaker Action API

The Sagemaker Action API from Amazon SageMaker — 5 operation(s) for sagemaker action.

Amazon SageMaker Sagemaker Ai Benchmark Job API

The Sagemaker Ai Benchmark Job API from Amazon SageMaker — 5 operation(s) for sagemaker ai benchmark job.

Amazon SageMaker Sagemaker Ai Recommendation Job API

The Sagemaker Ai Recommendation Job API from Amazon SageMaker — 5 operation(s) for sagemaker ai recommendation job.

Amazon SageMaker Sagemaker Ai Workload Config API

The Sagemaker Ai Workload Config API from Amazon SageMaker — 4 operation(s) for sagemaker ai workload config.

Amazon SageMaker Sagemaker Algorithm API

The Sagemaker Algorithm API from Amazon SageMaker — 4 operation(s) for sagemaker algorithm.

Amazon SageMaker Sagemaker App API

The Sagemaker App API from Amazon SageMaker — 4 operation(s) for sagemaker app.

Amazon SageMaker Sagemaker App Image Config API

The Sagemaker App Image Config API from Amazon SageMaker — 5 operation(s) for sagemaker app image config.

Amazon SageMaker Sagemaker Artifact API

The Sagemaker Artifact API from Amazon SageMaker — 5 operation(s) for sagemaker artifact.

Amazon SageMaker Sagemaker Association API

The Sagemaker Association API from Amazon SageMaker — 3 operation(s) for sagemaker association.

Amazon SageMaker Sagemaker Auto Ml Job API

The Sagemaker Auto Ml Job API from Amazon SageMaker — 4 operation(s) for sagemaker auto ml job.

Amazon SageMaker Sagemaker Cluster API

The Sagemaker Cluster API from Amazon SageMaker — 5 operation(s) for sagemaker cluster.

Amazon SageMaker Sagemaker Cluster Node API

The Sagemaker Cluster Node API from Amazon SageMaker — 4 operation(s) for sagemaker cluster node.

Amazon SageMaker Sagemaker Cluster Scheduler Config API

The Sagemaker Cluster Scheduler Config API from Amazon SageMaker — 5 operation(s) for sagemaker cluster scheduler config.

Amazon SageMaker Sagemaker Code Repository API

The Sagemaker Code Repository API from Amazon SageMaker — 5 operation(s) for sagemaker code repository.

Amazon SageMaker Sagemaker Compilation Job API

The Sagemaker Compilation Job API from Amazon SageMaker — 5 operation(s) for sagemaker compilation job.

Amazon SageMaker Sagemaker Compute Quota API

The Sagemaker Compute Quota API from Amazon SageMaker — 5 operation(s) for sagemaker compute quota.

Amazon SageMaker Sagemaker Context API

The Sagemaker Context API from Amazon SageMaker — 5 operation(s) for sagemaker context.

Amazon SageMaker Sagemaker Data Quality Job Definition API

The Sagemaker Data Quality Job Definition API from Amazon SageMaker — 4 operation(s) for sagemaker data quality job definition.

Amazon SageMaker Sagemaker Device API

The Sagemaker Device API from Amazon SageMaker — 5 operation(s) for sagemaker device.

Amazon SageMaker Sagemaker Device Fleet API

The Sagemaker Device Fleet API from Amazon SageMaker — 5 operation(s) for sagemaker device fleet.

Amazon SageMaker Sagemaker Domain API

The Sagemaker Domain API from Amazon SageMaker — 5 operation(s) for sagemaker domain.

Amazon SageMaker Sagemaker Edge Deployment Plan API

The Sagemaker Edge Deployment Plan API from Amazon SageMaker — 4 operation(s) for sagemaker edge deployment plan.

Amazon SageMaker Sagemaker Edge Deployment Stage API

The Sagemaker Edge Deployment Stage API from Amazon SageMaker — 4 operation(s) for sagemaker edge deployment stage.

Amazon SageMaker Sagemaker Edge Packaging Job API

The Sagemaker Edge Packaging Job API from Amazon SageMaker — 4 operation(s) for sagemaker edge packaging job.

Amazon SageMaker Sagemaker Endpoint Config API

The Sagemaker Endpoint Config API from Amazon SageMaker — 4 operation(s) for sagemaker endpoint config.

Amazon SageMaker Sagemaker Experiment API

The Sagemaker Experiment API from Amazon SageMaker — 5 operation(s) for sagemaker experiment.

Amazon SageMaker Sagemaker Feature Group API

The Sagemaker Feature Group API from Amazon SageMaker — 5 operation(s) for sagemaker feature group.

Amazon SageMaker Sagemaker Flow Definition API

The Sagemaker Flow Definition API from Amazon SageMaker — 4 operation(s) for sagemaker flow definition.

Amazon SageMaker Sagemaker Hub API

The Sagemaker Hub API from Amazon SageMaker — 5 operation(s) for sagemaker hub.

Amazon SageMaker Sagemaker Hub Content API

The Sagemaker Hub Content API from Amazon SageMaker — 5 operation(s) for sagemaker hub content.

Amazon SageMaker Sagemaker Hub Content Reference API

The Sagemaker Hub Content Reference API from Amazon SageMaker — 3 operation(s) for sagemaker hub content reference.

Amazon SageMaker Sagemaker Human Task Ui API

The Sagemaker Human Task Ui API from Amazon SageMaker — 4 operation(s) for sagemaker human task ui.

Amazon SageMaker Sagemaker Hyper Parameter Tuning Job API

The Sagemaker Hyper Parameter Tuning Job API from Amazon SageMaker — 5 operation(s) for sagemaker hyper parameter tuning job.

Amazon SageMaker Sagemaker Image API

The Sagemaker Image API from Amazon SageMaker — 5 operation(s) for sagemaker image.

Amazon SageMaker Sagemaker Image Version API

The Sagemaker Image Version API from Amazon SageMaker — 5 operation(s) for sagemaker image version.

Amazon SageMaker Sagemaker Inference Component API

The Sagemaker Inference Component API from Amazon SageMaker — 5 operation(s) for sagemaker inference component.

Amazon SageMaker Sagemaker Inference Experiment API

The Sagemaker Inference Experiment API from Amazon SageMaker — 7 operation(s) for sagemaker inference experiment.

Amazon SageMaker Sagemaker Inference Recommendations Job API

The Sagemaker Inference Recommendations Job API from Amazon SageMaker — 4 operation(s) for sagemaker inference recommendations job.

Amazon SageMaker Sagemaker Job API

The Sagemaker Job API from Amazon SageMaker — 5 operation(s) for sagemaker job.

Amazon SageMaker Sagemaker Labeling Job API

The Sagemaker Labeling Job API from Amazon SageMaker — 5 operation(s) for sagemaker labeling job.

Amazon SageMaker Sagemaker Mlflow App API

The Sagemaker Mlflow App API from Amazon SageMaker — 5 operation(s) for sagemaker mlflow app.

Amazon SageMaker Sagemaker Mlflow Tracking Server API

The Sagemaker Mlflow Tracking Server API from Amazon SageMaker — 7 operation(s) for sagemaker mlflow tracking server.

Amazon SageMaker Sagemaker Model Bias Job Definition API

The Sagemaker Model Bias Job Definition API from Amazon SageMaker — 4 operation(s) for sagemaker model bias job definition.

Amazon SageMaker Sagemaker Model Card API

The Sagemaker Model Card API from Amazon SageMaker — 5 operation(s) for sagemaker model card.

Amazon SageMaker Sagemaker Model Card Export Job API

The Sagemaker Model Card Export Job API from Amazon SageMaker — 3 operation(s) for sagemaker model card export job.

Amazon SageMaker Sagemaker Model Explainability Job Definition API

The Sagemaker Model Explainability Job Definition API from Amazon SageMaker — 4 operation(s) for sagemaker model explainability job definition.

Amazon SageMaker Sagemaker Model Package API

The Sagemaker Model Package API from Amazon SageMaker — 6 operation(s) for sagemaker model package.

Amazon SageMaker Sagemaker Model Package Group API

The Sagemaker Model Package Group API from Amazon SageMaker — 4 operation(s) for sagemaker model package group.

Amazon SageMaker Sagemaker Model Package Group Policy API

The Sagemaker Model Package Group Policy API from Amazon SageMaker — 3 operation(s) for sagemaker model package group policy.

Amazon SageMaker Sagemaker Model Quality Job Definition API

The Sagemaker Model Quality Job Definition API from Amazon SageMaker — 4 operation(s) for sagemaker model quality job definition.

Amazon SageMaker Sagemaker Monitoring Schedule API

The Sagemaker Monitoring Schedule API from Amazon SageMaker — 7 operation(s) for sagemaker monitoring schedule.

Amazon SageMaker Sagemaker Notebook Instance Lifecycle Config API

The Sagemaker Notebook Instance Lifecycle Config API from Amazon SageMaker — 5 operation(s) for sagemaker notebook instance lifecycle config.

Amazon SageMaker Sagemaker Operations API

The Sagemaker Operations API from Amazon SageMaker — 63 operation(s) for sagemaker operations.

Amazon SageMaker Sagemaker Optimization Job API

The Sagemaker Optimization Job API from Amazon SageMaker — 5 operation(s) for sagemaker optimization job.

Amazon SageMaker Sagemaker Partner App API

The Sagemaker Partner App API from Amazon SageMaker — 5 operation(s) for sagemaker partner app.

Amazon SageMaker Sagemaker Pipeline API

The Sagemaker Pipeline API from Amazon SageMaker — 5 operation(s) for sagemaker pipeline.

Amazon SageMaker Sagemaker Pipeline Execution API

The Sagemaker Pipeline Execution API from Amazon SageMaker — 5 operation(s) for sagemaker pipeline execution.

Amazon SageMaker Sagemaker Processing Job API

The Sagemaker Processing Job API from Amazon SageMaker — 5 operation(s) for sagemaker processing job.

Amazon SageMaker Sagemaker Project API

The Sagemaker Project API from Amazon SageMaker — 5 operation(s) for sagemaker project.

Amazon SageMaker Sagemaker Space API

The Sagemaker Space API from Amazon SageMaker — 5 operation(s) for sagemaker space.

Amazon SageMaker Sagemaker Studio Lifecycle Config API

The Sagemaker Studio Lifecycle Config API from Amazon SageMaker — 4 operation(s) for sagemaker studio lifecycle config.

Amazon SageMaker Sagemaker Tag API

The Sagemaker Tag API from Amazon SageMaker — 3 operation(s) for sagemaker tag.

Amazon SageMaker Sagemaker Training Plan API

The Sagemaker Training Plan API from Amazon SageMaker — 3 operation(s) for sagemaker training plan.

Amazon SageMaker Sagemaker Training Session API

The Sagemaker Training Session API from Amazon SageMaker — 5 operation(s) for sagemaker training session.

Amazon SageMaker Sagemaker Transform Job API

The Sagemaker Transform Job API from Amazon SageMaker — 4 operation(s) for sagemaker transform job.

Amazon SageMaker Sagemaker Trial API

The Sagemaker Trial API from Amazon SageMaker — 5 operation(s) for sagemaker trial.

Amazon SageMaker Sagemaker Trial Component API

The Sagemaker Trial Component API from Amazon SageMaker — 7 operation(s) for sagemaker trial component.

Amazon SageMaker Sagemaker User Profile API

The Sagemaker User Profile API from Amazon SageMaker — 5 operation(s) for sagemaker user profile.

Amazon SageMaker Sagemaker Workforce API

The Sagemaker Workforce API from Amazon SageMaker — 5 operation(s) for sagemaker workforce.

Amazon SageMaker Sagemaker Workteam API

The Sagemaker Workteam API from Amazon SageMaker — 5 operation(s) for sagemaker workteam.

Amazon SageMaker API pricing

Prices published by Amazon SageMaker, read 2026-09-20 from aws.amazon.com/sagemaker/pricing/.

Plan	Price
Data Agent Credit	$0.04 per credit
SageMaker Catalog - Requests	$10 per 100,000 requests Includes: 4,000 free requests in a billing month per account, in addition to core API calls that are provided
SageMaker Catalog - Metadata storage	$0.40 per GB Includes: 20 MB of free storage in a billing month per account
SageMaker Catalog - Compute	$1.776 per compute unit Includes: 0.2 free compute units in a billing month per account
SageMaker Catalog - Recommendations (input)	$0.015 per 1,000 input tokens Includes: No free usage
SageMaker Catalog - Recommendations (output)	$0.075 per 1,000 output tokens Includes: No free usage

Plan details, limits and sources →

Rate limits

SageMaker control-plane API: see Service Quotas console for SageMaker varies
InvokeEndpoint (real-time): scales with instance count and type requests per second
InvokeEndpoint payload size: 6291456 bytes

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

Billed by: credit · FinOps profile →

Pricing Plans 2

Published pricing tiers and plan structures.

Amazon Sagemaker Plans Pricing

6 plans

PLANS

Amazon Sagemaker Price Estimates

0 plans

PLANS

Rate Limits 1

Documented rate limits and quota policies.

Amazon Sagemaker 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 SageMaker

SLA

FinOps 1

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

Amazon Sagemaker Finops

FINOPS

Features 13

Notable capabilities this provider offers.

SageMaker Studio

Fully integrated development environment for ML work with notebooks, debugging, and experiment tracking.

SageMaker HyperPod

Purpose-built infrastructure for distributed training that reduces foundation model training time by up to 40%.

SageMaker JumpStart

Hub providing access to foundation models, pre-built algorithms, and one-click deployment.

SageMaker Autopilot

Automated model creation with complete visibility and transparency.

SageMaker Canvas

No-code visual interface for creating ML models without writing code.

SageMaker Feature Store

Store, share, and manage features for machine learning models.

SageMaker Data Wrangler

Data preparation tool that reduces transformation workflow time significantly.

SageMaker Ground Truth

Incorporates human feedback throughout the ML lifecycle for data labeling.

SageMaker Pipelines

Purpose-built CI/CD service for machine learning workflows.

SageMaker Model Monitor

Automatically detects concept drift and data quality issues in deployed models.

SageMaker Clarify

Provides machine learning explainability and bias detection.

SageMaker Experiments

Streamlines tracking and management of ML experiments.

ML Governance

Access controls and transparency across the full ML lifecycle with audit trails.

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Semantic Vocabularies 1

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

Amazon Sagemaker Context

5 classes · 49 properties

JSON-LD

Spectral Rules 2

Spectral governance rulesets for linting and validating these APIs.

Amazon SageMaker — jsonschema rules

5 rules · 4 warnings 1 info

SPECTRAL

Amazon SageMaker API Rules

26 rules · 10 errors 14 warnings 2 info

SPECTRAL

OpenAPI Overlays 4

Overlays applied on top of this provider's contracts. Each card says who wrote it: a document the provider publishes, or one API Evangelist derived or generated.

Amazon Sagemaker Endpoints Api Phrasing Overlay

5 actions · phrasing · amazon-sagemaker-endpoints-api-openapi.yml

GENERATED

Amazon Sagemaker Models Api Phrasing Overlay

4 actions · phrasing · amazon-sagemaker-models-api-openapi.yml

GENERATED

Amazon Sagemaker Notebook Instances Api Phrasing Overlay

4 actions · phrasing · amazon-sagemaker-notebook-instances-api-openapi.yml

GENERATED

Amazon Sagemaker Training Jobs Api Phrasing Overlay

4 actions · phrasing · amazon-sagemaker-training-jobs-api-openapi.yml

GENERATED

JSON Schema 7

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

Endpoint

8 properties

JSON SCHEMA

Model

18 properties

JSON STRUCTURE

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

Amazon Sagemaker Agentic Access

13 operations · 9 acting

AGENTIC

Use Cases 8

What developers build with this provider.

Generative AI Applications

Build custom generative AI applications using proprietary data with foundation model fine-tuning.

ML Model Development

Train and deploy ML models across the entire machine learning lifecycle from exploration to production.

Data Analytics

Query and analyze data across unified sources with built-in SQL analytics and data processing.

Enterprise AI Governance

Manage data and AI artifacts with fine-grained security controls and compliance tooling.

Computer Vision

Build and deploy computer vision models for image classification, object detection, and segmentation.

Natural Language Processing

Train and deploy NLP models for text classification, entity recognition, and language generation.

Fraud Detection

Build real-time fraud detection models with low-latency inference endpoints.

Predictive Maintenance

Deploy ML models on edge devices for predictive maintenance use cases.

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Resources

Get Started 4

Portal, sign-up, and the first successful call

Portal

GettingStarted

Console

Signup

Documentation 4

Reference material describing how the API behaves

ContributionGuide

Documentation

APIReference

JSONSchema

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

AgenticAccess

AgenticAccess

Design & Contract 16

Pagination, idempotency, versioning, errors, and events

Arazzo

Arazzo

Arazzo

Arazzo

Arazzo

Arazzo

Arazzo

Arazzo

SpectralRules

Vocabulary

JSONLD

JSONStructure

JSONStructure

JSONStructure

JSONStructure

JSONStructure

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Build 13

SDKs, sample code, and the tooling you integrate with

CodeOfConduct

CodeOfConduct

PostmanWorkspace

PostmanWorkspace

GitHubOrganization

GitHubOrganization

CLI

CLI

SageMaker HyperPod CLI

CLI

Python SDK (GitHub)

GitHubRepository

GitHubRepository

Examples

Examples

Examples

Examples

Examples

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Access & Security 5

Authentication, authorization, and security posture

TrustCenter

TrustCenter

VulnerabilityDisclosure

VulnerabilityDisclosure

DomainSecurity

DomainSecurity

Security

Security

Compliance

Compliance

Learn 2

Tutorials, courses, talks, and written guidance

YouTube

YouTube

Training

Training

Operate 7

Status, limits, changes, and where to get help

RateLimits

IssueTracker

Releases

FAQ

StatusPage

Support

StackOverflow

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Commercial 6

Pricing, plans, and the legal terms of use

FinOps

Plans

License

Pricing

TermsOfService

PrivacyPolicy

Company 2

The organization behind the API

Website

Website

Blog

Blog

Other 2

Properties that don't map to a standard resource type

CapabilityMap

CapabilityMap

KnowledgeCenter

KnowledgeCenter

Source (apis.yml)

deliveryModel:
  model: open-core
  license: Apache-2.0
  open_source: true
  commercial: true
  callable_host: true
  label: Open core · an OSS project plus a commercial hosted product
  confidence: high
  source:
  - license
  - openapi
  - pricing
  generated: '2026-08-28'
  method: derived
specificationVersion: '0.23'
accessModel:
  pricing: paid
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Paid
  confidence: low
  source:
  - plans
  - security
  generated: '2026-11-06'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/amazon-sagemaker.png
name: Amazon SageMaker
description: Amazon SageMaker is a fully managed machine learning platform that enables developers and data scientists to
  build, train, and deploy machine learning models at scale. SageMaker removes the heavy lifting from each step of the machine
  learning process, providing built-in algorithms, managed Jupyter notebooks, distributed training, automatic model tuning,
  and one-click deployment to production endpoints with auto-scaling.
url: https://aws.amazon.com/sagemaker/
baseURL: https://api.sagemaker.amazonaws.com
kind: company
created: '2024-01-01'
modified: '2026-09-16'
tags:
- Artificial Intelligence
- Amazon Web Services
- Inference
- Machine Learning
- MLOps
- Training
- Model Training
tags_raw:
- AI
- AWS
- Inference
- Machine Learning
- MLOps
- Training
- Machine-Learning
- Model Training
apis:
- name: Amazon SageMaker Runtime API
  description: The Amazon SageMaker AI runtime API for invoking deployed model endpoints to get real-time inference predictions.
  humanURL: https://docs.aws.amazon.com/sagemaker/latest/dg/API_runtime_InvokeEndpoint.html
  baseURL: https://runtime.sagemaker.{region}.amazonaws.com
  tags:
  - Inference
  - Runtime
  - Machine Learning
  tags_raw:
  - Inference
  - Runtime
  - Machine Learning
  - Machine-Learning
  properties:
  - type: Documentation
    url: https://docs.aws.amazon.com/sagemaker/latest/dg/API_runtime_InvokeEndpoint.html
- name: Amazon SageMaker Feature Store Runtime API
  description: Data plane API operations for the Amazon SageMaker Feature Store supporting put, delete, and retrieve operations
    for ML features.
  humanURL: https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_Operations_Amazon_SageMaker_Feature_Store_Runtime.html
  baseURL: https://featurestore-runtime.sagemaker.{region}.amazonaws.com
  tags:
  - Feature Store
  - Machine Learning
  - Data
  tags_raw:
  - Feature Store
  - Machine Learning
  - Data
  - Machine-Learning
  properties:
  - type: Documentation
    url: https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_Operations_Amazon_SageMaker_Feature_Store_Runtime.html
- name: Amazon SageMaker Metrics Service API
  description: Data plane API operations for Amazon SageMaker Metrics for putting and retrieving metrics related to training
    runs.
  humanURL: https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_Operations_Amazon_SageMaker_Metrics_Service.html
  baseURL: https://metrics.sagemaker.{region}.amazonaws.com
  tags:
  - Metrics
  - Training
  - Machine Learning
  tags_raw:
  - Metrics
  - Training
  - Machine Learning
  - Machine-Learning
  properties:
  - type: Documentation
    url: https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_Operations_Amazon_SageMaker_Metrics_Service.html
- name: Amazon SageMaker Geospatial API
  description: APIs for creating and managing Amazon SageMaker geospatial capabilities including earth observation jobs and
    vector enrichment jobs.
  humanURL: https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_Operations_Amazon_SageMaker_geospatial_capabilities.html
  baseURL: https://sagemaker-geospatial.{region}.amazonaws.com
  tags:
  - Geospatial
  - Machine Learning
  - Amazon Web Services
  tags_raw:
  - Geospatial
  - Machine Learning
  - AWS
  - Machine-Learning
  properties:
  - type: Documentation
    url: https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_Operations_Amazon_SageMaker_geospatial_capabilities.html
- name: Amazon SageMaker Edge Manager API
  description: SageMaker Edge Manager dataplane service for communicating with active edge agents running ML models on edge
    devices.
  humanURL: https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_Operations_Amazon_Sagemaker_Edge.html
  baseURL: https://edge.sagemaker.{region}.amazonaws.com
  tags:
  - Edge
  - IoT
  - Machine Learning
  tags_raw:
  - Edge
  - IoT
  - Machine Learning
  - Machine-Learning
  properties:
  - type: Documentation
    url: https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_Operations_Amazon_Sagemaker_Edge.html
- aid: amazon-sagemaker:amazon-sagemaker-endpoints-api
  name: Amazon SageMaker Endpoints API
  description: Operations for managing SageMaker endpoints.
  humanURL: https://docs.aws.amazon.com/sagemaker/latest/APIReference/Welcome.html
  baseURL: https://api.sagemaker.{region}.amazonaws.com
  tags: []
  tags_raw:
  - Endpoints
  properties:
  - type: OpenAPI
    url: openapi/amazon-sagemaker-endpoints-api-openapi.yml
  - type: Documentation
    url: https://docs.aws.amazon.com/sagemaker/latest/APIReference/Welcome.html
  - type: JSONSchema
    url: json-schema/amazon-sagemaker-notebook-instance-schema.json
  - type: JSONSchema
    url: json-schema/amazon-sagemaker-training-job-schema.json
  - type: JSONSchema
    url: json-schema/amazon-sagemaker-model-schema.json
  - type: JSONSchema
    url: json-schema/amazon-sagemaker-endpoint-schema.json
  - type: SDKs
    url: https://pypi.org/project/sagemaker/
  - type: CodeExamples
    url: https://github.com/aws/amazon-sagemaker-examples
- aid: amazon-sagemaker:amazon-sagemaker-models-api
  name: Amazon SageMaker Models API
  description: Operations for managing SageMaker models.
  humanURL: https://docs.aws.amazon.com/sagemaker/latest/APIReference/Welcome.html
  baseURL: https://api.sagemaker.{region}.amazonaws.com
  tags:
  - Models
  properties:
  - type: OpenAPI
    url: openapi/amazon-sagemaker-models-api-openapi.yml
  - type: Documentation
    url: https://docs.aws.amazon.com/sagemaker/latest/APIReference/Welcome.html
  - type: JSONSchema
    url: json-schema/amazon-sagemaker-notebook-instance-schema.json
  - type: JSONSchema
    url: json-schema/amazon-sagemaker-training-job-schema.json
  - type: JSONSchema
    url: json-schema/amazon-sagemaker-model-schema.json
  - type: JSONSchema
    url: json-schema/amazon-sagemaker-endpoint-schema.json
  - type: SDKs
    url: https://pypi.org/project/sagemaker/
  - type: CodeExamples
    url: https://github.com/aws/amazon-sagemaker-examples
- aid: amazon-sagemaker:amazon-sagemaker-notebook-instances-api
  name: Amazon SageMaker Notebook Instances API
  description: Operations for managing SageMaker notebook instances.
  humanURL: https://docs.aws.amazon.com/sagemaker/latest/APIReference/Welcome.html
  baseURL: https://api.sagemaker.{region}.amazonaws.com
  tags:
  - Notebook Instances
  properties:
  - type: OpenAPI
    url: openapi/amazon-sagemaker-notebook-instances-api-openapi.yml
  - type: Documentation
    url: https://docs.aws.amazon.com/sagemaker/latest/APIReference/Welcome.html
  - type: JSONSchema
    url: json-schema/amazon-sagemaker-notebook-instance-schema.json
  - type: JSONSchema
    url: json-schema/amazon-sagemaker-training-job-schema.json
  - type: JSONSchema
    url: json-schema/amazon-sagemaker-model-schema.json
  - type: JSONSchema
    url: json-schema/amazon-sagemaker-endpoint-schema.json
  - type: SDKs
    url: https://pypi.org/project/sagemaker/
  - type: CodeExamples
    url: https://github.com/aws/amazon-sagemaker-examples
- aid: amazon-sagemaker:amazon-sagemaker-training-jobs-api
  name: Amazon SageMaker Training Jobs API
  description: Operations for managing SageMaker training jobs.
  humanURL: https://docs.aws.amazon.com/sagemaker/latest/APIReference/Welcome.html
  baseURL: https://api.sagemaker.{region}.amazonaws.com
  tags:
  - Training Jobs
  properties:
  - type: OpenAPI
    url: openapi/amazon-sagemaker-training-jobs-api-openapi.yml
  - type: Documentation
    url: https://docs.aws.amazon.com/sagemaker/latest/APIReference/Welcome.html
  - type: JSONSchema
    url: json-schema/amazon-sagemaker-notebook-instance-schema.json
  - type: JSONSchema
    url: json-schema/amazon-sagemaker-training-job-schema.json
  - type: JSONSchema
    url: json-schema/amazon-sagemaker-model-schema.json
  - type: JSONSchema
    url: json-schema/amazon-sagemaker-endpoint-schema.json
  - type: SDKs
    url: https://pypi.org/project/sagemaker/
  - type: CodeExamples
    url: https://github.com/aws/amazon-sagemaker-examples
- aid: amazon-sagemaker:amazon-sagemaker-action-api
  name: Amazon SageMaker Sagemaker Action API
  description: The Sagemaker Action API from Amazon SageMaker — 5 operation(s) for sagemaker action.
  humanURL: https://docs.aws.amazon.com/sagemaker/latest/dg/API_runtime_InvokeEndpoint.html
  baseURL: https://runtime.sagemaker.{region}.amazonaws.com
  tags:
  - Sagemaker Action
  properties:
  - type: OpenAPI
    url: openapi/amazon-sagemaker-action-api-openapi.yml
- aid: amazon-sagemaker:amazon-sagemaker-ai-benchmark-job-api
  name: Amazon SageMaker Sagemaker Ai Benchmark Job API
  description: The Sagemaker Ai Benchmark Job API from Amazon SageMaker — 5 operation(s) for sagemaker ai benchmark job.
  humanURL: https://docs.aws.amazon.com/sagemaker/latest/dg/API_runtime_InvokeEndpoint.html
  baseURL: https://runtime.sagemaker.{region}.amazonaws.com
  tags:
  - Sagemaker Ai Benchmark Job
  properties:
  - type: OpenAPI
    url: openapi/amazon-sagemaker-ai-benchmark-job-api-openapi.yml
- aid: amazon-sagemaker:amazon-sagemaker-ai-recommendation-job-api
  name: Amazon SageMaker Sagemaker Ai Recommendation Job API
  description: The Sagemaker Ai Recommendation Job API from Amazon SageMaker — 5 operation(s) for sagemaker ai recommendation
    job.
  humanURL: https://docs.aws.amazon.com/sagemaker/latest/dg/API_runtime_InvokeEndpoint.html
  baseURL: https://runtime.sagemaker.{region}.amazonaws.com
  tags:
  - Sagemaker Ai Recommendation Job
  properties:
  - type: OpenAPI
    url: openapi/amazon-sagemaker-ai-recommendation-job-api-openapi.yml
- aid: amazon-sagemaker:amazon-sagemaker-ai-workload-config-api
  name: Amazon SageMaker Sagemaker Ai Workload Config API
  description: The Sagemaker Ai Workload Config API from Amazon SageMaker — 4 operation(s) for sagemaker ai workload config.
  humanURL: https://docs.aws.amazon.com/sagemaker/latest/dg/API_runtime_InvokeEndpoint.html
  baseURL: https://runtime.sagemaker.{region}.amazonaws.com
  tags:
  - Sagemaker Ai Workload Config
  properties:
  - type: OpenAPI
    url: openapi/amazon-sagemaker-ai-workload-config-api-openapi.yml
- aid: amazon-sagemaker:amazon-sagemaker-algorithm-api
  name: Amazon SageMaker Sagemaker Algorithm API
  description: The Sagemaker Algorithm API from Amazon SageMaker — 4 operation(s) for sagemaker algorithm.
  humanURL: https://docs.aws.amazon.com/sagemaker/latest/dg/API_runtime_InvokeEndpoint.html
  baseURL: https://runtime.sagemaker.{region}.amazonaws.com
  tags:
  - Sagemaker Algorithm
  properties:
  - type: OpenAPI
    url: openapi/amazon-sagemaker-algorithm-api-openapi.yml
- aid: amazon-sagemaker:amazon-sagemaker-app-api
  name: Amazon SageMaker Sagemaker App API
  description: The Sagemaker App API from Amazon SageMaker — 4 operation(s) for sagemaker app.
  humanURL: https://docs.aws.amazon.com/sagemaker/latest/dg/API_runtime_InvokeEndpoint.html
  baseURL: https://runtime.sagemaker.{region}.amazonaws.com
  tags:
  - Sagemaker App
  properties:
  - type: OpenAPI
    url: openapi/amazon-sagemaker-app-api-openapi.yml
- aid: amazon-sagemaker:amazon-sagemaker-app-image-config-api
  name: Amazon SageMaker Sagemaker App Image Config API
  description: The Sagemaker App Image Config API from Amazon SageMaker — 5 operation(s) for sagemaker app image config.
  humanURL: https://docs.aws.amazon.com/sagemaker/latest/dg/API_runtime_InvokeEndpoint.html
  baseURL: https://runtime.sagemaker.{region}.amazonaws.com
  tags:
  - Sagemaker App Image Config
  properties:
  - type: OpenAPI
    url: openapi/amazon-sagemaker-app-image-config-api-openapi.yml
- aid: amazon-sagemaker:amazon-sagemaker-artifact-api
  name: Amazon SageMaker Sagemaker Artifact API
  description: The Sagemaker Artifact API from Amazon SageMaker — 5 operation(s) for sagemaker artifact.
  humanURL: https://docs.aws.amazon.com/sagemaker/latest/dg/API_runtime_InvokeEndpoint.html
  baseURL: https://runtime.sagemaker.{region}.amazonaws.com
  tags:
  - Sagemaker Artifact
  properties:
  - type: OpenAPI
    url: openapi/amazon-sagemaker-artifact-api-openapi.yml
- aid: amazon-sagemaker:amazon-sagemaker-association-api
  name: Amazon SageMaker Sagemaker Association API
  description: The Sagemaker Association API from Amazon SageMaker — 3 operation(s) for sagemaker association.
  humanURL: https://docs.aws.amazon.com/sagemaker/latest/dg/API_runtime_InvokeEndpoint.html
  baseURL: https://runtime.sagemaker.{region}.amazonaws.com
  tags:
  - Sagemaker Association
  properties:
  - type: OpenAPI
    url: openapi/amazon-sagemaker-association-api-openapi.yml
- aid: amazon-sagemaker:amazon-sagemaker-auto-ml-job-api
  name: Amazon SageMaker Sagemaker Auto Ml Job API
  description: The Sagemaker Auto Ml Job API from Amazon SageMaker — 4 operation(s) for sagemaker auto ml job.
  humanURL: https://docs.aws.amazon.com/sagemaker/latest/dg/API_runtime_InvokeEndpoint.html
  baseURL: https://runtime.sagemaker.{region}.amazonaws.com
  tags:
  - Sagemaker Auto Ml Job
  properties:
  - type: OpenAPI
    url: openapi/amazon-sagemaker-auto-ml-job-api-openapi.yml
- aid: amazon-sagemaker:amazon-sagemaker-cluster-api
  name: Amazon SageMaker Sagemaker Cluster API
  description: The Sagemaker Cluster API from Amazon SageMaker — 5 operation(s) for sagemaker cluster.
  humanURL: https://docs.aws.amazon.com/sagemaker/latest/dg/API_runtime_InvokeEndpoint.html
  baseURL: https://runtime.sagemaker.{region}.amazonaws.com
  tags:
  - Sagemaker Cluster
  properties:
  - type: OpenAPI
    url: openapi/amazon-sagemaker-cluster-api-openapi.yml
- aid: amazon-sagemaker:amazon-sagemaker-cluster-node-api
  name: Amazon SageMaker Sagemaker Cluster Node API
  description: The Sagemaker Cluster Node API from Amazon SageMaker — 4 operation(s) for sagemaker cluster node.
  humanURL: https://docs.aws.amazon.com/sagemaker/latest/dg/API_runtime_InvokeEndpoint.html
  baseURL: https://runtime.sagemaker.{region}.amazonaws.com
  tags:
  - Sagemaker Cluster Node
  properties:
  - type: OpenAPI
    url: openapi/amazon-sagemaker-cluster-node-api-openapi.yml
- aid: amazon-sagemaker:amazon-sagemaker-cluster-scheduler-config-api
  name: Amazon SageMaker Sagemaker Cluster Scheduler Config API
  description: The Sagemaker Cluster Scheduler Config API from Amazon SageMaker — 5 operation(s) for sagemaker cluster scheduler
    config.
  humanURL: https://docs.aws.amazon.com/sagemaker/latest/dg/API_runtime_InvokeEndpoint.html
  baseURL: https://runtime.sagemaker.{region}.amazonaws.com
  tags:
  - Sagemaker Cluster Scheduler Config
  properties:
  - type: OpenAPI
    url: openapi/amazon-sagemaker-cluster-scheduler-config-api-openapi.yml
- aid: amazon-sagemaker:amazon-sagemaker-code-repository-api
  name: Amazon SageMaker Sagemaker Code Repository API
  description: The Sagemaker Code Repository API from Amazon SageMaker — 5 operation(s) for sagemaker code repository.
  humanURL: https://docs.aws.amazon.com/sagemaker/latest/dg/API_runtime_InvokeEndpoint.html
  baseURL: https://runtime.sagemaker.{region}.amazonaws.com
  tags:
  - Sagemaker Code Repository
  properties:
  - type: OpenAPI
    url: openapi/amazon-sagemaker-code-repository-api-openapi.yml
- aid: amazon-sagemaker:amazon-sagemaker-compilation-job-api
  name: Amazon SageMaker Sagemaker Compilation Job API
  description: The Sagemaker Compilation Job API from Amazon SageMaker — 5 operation(s) for sagemaker compilation job.
  humanURL: https://docs.aws.amazon.com/sagemaker/latest/dg/API_runtime_InvokeEndpoint.html
  baseURL: https://runtime.sagemaker.{region}.amazonaws.com
  tags:
  - Sagemaker Compilation Job
  properties:
  - type: OpenAPI
    url: openapi/amazon-sagemaker-compilation-job-api-openapi.yml
- aid: amazon-sagemaker:amazon-sagemaker-compute-quota-api
  name: Amazon SageMaker Sagemaker Compute Quota API
  description: The Sagemaker Compute Quota API from Amazon SageMaker — 5 operation(s) for sagemaker compute quota.
  humanURL: https://docs.aws.amazon.com/sagemaker/latest/dg/API_runtime_InvokeEndpoint.html
  baseURL: https://runtime.sagemaker.{region}.amazonaws.com
  tags:
  - Sagemaker Compute Quota
  properties:
  - type: OpenAPI
    url: openapi/amazon-sagemaker-compute-quota-api-openapi.yml
- aid: amazon-sagemaker:amazon-sagemaker-context-api
  name: Amazon SageMaker Sagemaker Context API
  description: The Sagemaker Context API from Amazon SageMaker — 5 operation(s) for sagemaker context.
  humanURL: https://docs.aws.amazon.com/sagemaker/latest/dg/API_runtime_InvokeEndpoint.html
  baseURL: https://runtime.sagemaker.{region}.amazonaws.com
  tags:
  - Sagemaker Context
  properties:
  - type: OpenAPI
    url: openapi/amazon-sagemaker-context-api-openapi.yml
- aid: amazon-sagemaker:amazon-sagemaker-data-quality-job-definition-api
  name: Amazon SageMaker Sagemaker Data Quality Job Definition API
  description: The Sagemaker Data Quality Job Definition API from Amazon SageMaker — 4 operation(s) for sagemaker data quality
    job definition.
  humanURL: https://docs.aws.amazon.com/sagemaker/latest/dg/API_runtime_InvokeEndpoint.html
  baseURL: https://runtime.sagemaker.{region}.amazonaws.com
  tags:
  - Sagemaker Data Quality Job Definition
  properties:
  - type: OpenAPI
    url: openapi/amazon-sagemaker-data-quality-job-definition-api-openapi.yml
- aid: amazon-sagemaker:amazon-sagemaker-device-api
  name: Amazon SageMaker Sagemaker Device API
  description: The Sagemaker Device API from Amazon SageMaker — 5 operation(s) for sagemaker device.
  humanURL: https://docs.aws.amazon.com/sagemaker/latest/dg/API_runtime_InvokeEndpoint.html
  baseURL: https://runtime.sagemaker.{region}.amazonaws.com
  tags:
  - Sagemaker Device
  properties:
  - type: OpenAPI
    url: openapi/amazon-sagemaker-device-api-openapi.yml
- aid: amazon-sagemaker:amazon-sagemaker-device-fleet-api
  name: Amazon SageMaker Sagemaker Device Fleet API
  description: The Sagemaker Device Fleet API from Amazon SageMaker — 5 operation(s) for sagemaker device fleet.
  humanURL: https://docs.aws.amazon.com/sagemaker/latest/dg/API_runtime_InvokeEndpoint.html
  baseURL: https://runtime.sagemaker.{region}.amazonaws.com
  tags:
  - Sagemaker Device Fleet
  properties:
  - type: OpenAPI
    url: openapi/amazon-sagemaker-device-fleet-api-openapi.yml
- aid: amazon-sagemaker:amazon-sagemaker-domain-api
  name: Amazon SageMaker Sagemaker Domain API
  description: The Sagemaker Domain API from Amazon SageMaker — 5 operation(s) for sagemaker domain.
  humanURL: https://docs.aws.amazon.com/sagemaker/latest/dg/API_runtime_InvokeEndpoint.html
  baseURL: https://runtime.sagemaker.{region}.amazonaws.com
  tags:
  - Sagemaker Domain
  properties:
  - type: OpenAPI
    url: openapi/amazon-sagemaker-domain-api-openapi.yml
- aid: amazon-sagemaker:amazon-sagemaker-edge-deployment-plan-api
  name: Amazon SageMaker Sagemaker Edge Deployment Plan API
  description: The Sagemaker Edge Deployment Plan API from Amazon SageMaker — 4 operation(s) for sagemaker edge deployment
    plan.
  humanURL: https://docs.aws.amazon.com/sagemaker/latest/dg/API_runtime_InvokeEndpoint.html
  baseURL: https://runtime.sagemaker.{region}.amazonaws.com
  tags:
  - Sagemaker Edge Deployment Plan
  properties:
  - type: OpenAPI
    url: openapi/amazon-sagemaker-edge-deployment-plan-api-openapi.yml
- aid: amazon-sagemaker:amazon-sagemaker-edge-deployment-stage-api
  name: Amazon SageMaker Sagemaker Edge Deployment Stage API
  description: The Sagemaker Edge Deployment Stage API from Amazon SageMaker — 4 operation(s) for sagemaker edge deployment
    stage.
  humanURL: https://docs.aws.amazon.com/sagemaker/latest/dg/API_runtime_InvokeEndpoint.html
  baseURL: https://runtime.sagemaker.{region}.amazonaws.com
  tags:
  - Sagemaker Edge Deployment Stage
  properties:
  - type: OpenAPI
    url: openapi/amazon-sagemaker-edge-deployment-stage-api-openapi.yml
- aid: amazon-sagemaker:amazon-sagemaker-edge-packaging-job-api
  name: Amazon SageMaker Sagemaker Edge Packaging Job API
  description: The Sagemaker Edge Packaging Job API from Amazon SageMaker — 4 operation(s) for sagemaker edge packaging job.
  humanURL: https://docs.aws.amazon.com/sagemaker/latest/dg/API_runtime_InvokeEndpoint.html
  baseURL: https://runtime.sagemaker.{region}.amazonaws.com
  tags:
  - Sagemaker Edge Packaging Job
  properties:
  - type: OpenAPI
    url: openapi/amazon-sagemaker-edge-packaging-job-api-openapi.yml
- aid: amazon-sagemaker:amazon-sagemaker-endpoint-config-api
  name: Amazon SageMaker Sagemaker Endpoint Config API
  description: The Sagemaker Endpoint Config API from Amazon SageMaker — 4 operation(s) for sagemaker endpoint config.
  humanURL: https://docs.aws.amazon.com/sagemaker/latest/dg/API_runtime_InvokeEndpoint.html
  baseURL: https://runtime.sagemaker.{region}.amazonaws.com
  tags:
  - Sagemaker Endpoint Config
  properties:
  - type: OpenAPI
    url: openapi/amazon-sagemaker-endpoint-config-api-openapi.yml
- aid: amazon-sagemaker:amazon-sagemaker-experiment-api
  name: Amazon SageMaker Sagemaker Experiment API
  description: The Sagemaker Experiment API from Amazon SageMaker — 5 operation(s) for sagemaker experiment.
  humanURL: https://docs.aws.amazon.com/sagemaker/latest/dg/API_runtime_InvokeEndpoint.html
  baseURL: https://runtime.sagemaker.{region}.amazonaws.com
  tags:
  - Sagemaker Experiment
  properties:
  - type: OpenAPI
    url: openapi/amazon-sagemaker-experiment-api-openapi.yml
- aid: amazon-sagemaker:amazon-sagemaker-feature-group-api
  name: Amazon SageMaker Sagemaker Feature Group API
  description: The Sagemaker Feature Group API from Amazon SageMaker — 5 operation(s) for sagemaker feature group.
  humanURL: https://docs.aws.amazon.com/sagemaker/latest/dg/API_runtime_InvokeEndpoint.html
  baseURL: https://runtime.sagemaker.{region}.amazonaws.com
  tags:
  - Sagemaker Feature Group
  properties:
  - type: OpenAPI
    url: openapi/amazon-sagemaker-feature-group-api-openapi.yml
- aid: amazon-sagemaker:amazon-sagemaker-flow-definition-api
  name: Amazon SageMaker Sagemaker Flow Definition API
  description: The Sagemaker Flow Definition API from Amazon SageMaker — 4 operation(s) for sagemaker flow definition.
  humanURL: https://docs.aws.amazon.com/sagemaker/latest/dg/API_runtime_InvokeEndpoint.html
  baseURL: https://runtime.sagemaker.{region}.amazonaws.com
  tags:
  - Sagemaker Flow Definition
  properties:
  - type: OpenAPI
    url: openapi/amazon-sagemaker-flow-definition-api-openapi.yml
- aid: amazon-sagemaker:amazon-sagemaker-hub-api
  name: Amazon SageMaker Sagemaker Hub API
  description: The Sagemaker Hub API from Amazon SageMaker — 5 operation(s) for sagemaker hub.
  humanURL: https://docs.aws.amazon.com/sagemaker/latest/dg/API_runtime_InvokeEndpoint.html
  baseURL: https://runtime.sagemaker.{region}.amazonaws.com
  tags:
  - Sagemaker Hub
  properties:
  - type: OpenAPI
    url: openapi/amazon-sagemaker-hub-api-openapi.yml
- aid: amazon-sagemaker:amazon-sagemaker-hub-content-api
  name: Amazon SageMaker Sagemaker Hub Content API
  description: The Sagemaker Hub Content API from Amazon SageMaker — 5 operation(s) for sagemaker hub content.
  humanURL: https://docs.aws.amazon.com/sagemaker/latest/dg/API_runtime_InvokeEndpoint.html
  baseURL: https://runtime.sagemaker.{region}.amazonaws.com
  tags:
  - Sagemaker Hub Content
  properties:
  - type: OpenAPI
    url: openapi/amazon-sagemaker-hub-content-api-openapi.yml
- aid: amazon-sagemaker:amazon-sagemaker-hub-content-reference-api
  name: Amazon SageMaker Sagemaker Hub Content Reference API
  description: The Sagemaker Hub Content Reference API from Amazon SageMaker — 3 operation(s) for sagemaker hub content reference.
  humanURL: https://docs.aws.amazon.com/sagemaker/latest/dg/API_runtime_InvokeEndpoint.html
  baseURL: https://runtime.sagemaker.{region}.amazonaws.com
  tags:
  - Sagemaker Hub Content Reference
  properties:
  - type: OpenAPI
    url: openapi/amazon-sagemaker-hub-content-reference-api-openapi.yml
- aid: amazon-sagemaker:amazon-sagemaker-human-task-ui-api
  name: Amazon SageMaker Sagemaker Human Task Ui API
  description: The Sagemaker Human Task Ui API from Amazon SageMaker — 4 operation(s) for sagemaker human task ui.
  humanURL: https://docs.aws.amazon.com/sagemaker/latest/dg/API_runtime_InvokeEndpoint.html
  baseURL: https://runtime.sagemaker.{region}.amazonaws.com
  tags:
  - Sagemaker Human Task Ui
  properties:
  - type: OpenAPI
    url: openapi/amazon-sagemaker-human-task-ui-api-openapi.yml
- aid: amazon-sagemaker:amazon-sagemaker-hyper-parameter-tuning-job-api
  name: Amazon SageMaker Sagemaker Hyper Parameter Tuning Job API
  description: The Sagemaker Hyper Parameter Tuning Job API from Amazon SageMaker — 5 operation(s) for sagemaker hyper parameter
    tuning job.
  humanURL: https://docs.aws.amazon.com/sagemaker/latest/dg/API_runtime_InvokeEndpoint.html
  baseURL: https://runtime.sagemaker.{region}.amazonaws.com
  tags:
  - Sagemaker Hyper Parameter Tuning Job
  properties:
  - type: OpenAPI
    url: openapi/amazon-sagemaker-hyper-parameter-tuning-job-api-openapi.yml
- aid: amazon-sagemaker:amazon-sagemaker-image-api
  name: Amazon SageMaker Sagemaker Image API
  description: The Sagemaker Image API from Amazon SageMaker — 5 operation(s) for sagemaker image.
  humanURL: https://docs.aws.amazon.com/sagemaker/latest/dg/API_runtime_InvokeEndpoint.html
  baseURL: https://runtime.sagemaker.{region}.amazonaws.com
  tags:
  - Sagemaker Image
  properties:
  - type: OpenAPI
    url: openapi/amazon-sagemaker-image-api-openapi.yml
- aid: amazon-sagemaker:amazon-sagemaker-image-version-api
  name: Amazon SageMaker Sagemaker Image Version API
  description: The Sagemaker Image Version API from Amazon SageMaker — 5 operation(s) for sagemaker image version.
  humanURL: https://docs.aws.amazon.com/sagemaker/latest/dg/API_runtime_InvokeEndpoint.html
  baseURL: https://runtime.sagemaker.{region}.amazonaws.com
  tags:
  - Sagemaker Image Version
  properties:
  - type: OpenAPI
    url: openapi/amazon-sagemaker-image-version-api-openapi.yml
- aid: amazon-sagemaker:amazon-sagemaker-inference-component-api
  name: Amazon SageMaker Sagemaker Inference Component API
  description: The Sagemaker Inference Component API from Amazon SageMaker — 5 operation(s) for sagemaker inference component.
  humanURL: https://docs.aws.amazon.com/sagemaker/latest/dg/API_runtime_InvokeEndpoint.html
  baseURL: https://runtime.sagemaker.{region}.amazonaws.com
  tags:
  - Sagemaker Inference Component
  properties:
  - type: OpenAPI
    url: openapi/amazon-sagemaker-inference-component-api-openapi.yml
- aid: amazon-sagemaker:amazon-sagemaker-inference-experiment-api
  name: Amazon SageMaker Sagemaker Inference Experiment API
  description: The Sagemaker Inference Experiment API from Amazon SageMaker — 7 operation(s) for sagemaker inference experiment.
  humanURL: https://docs.aws.amazon.com/sagemaker/latest/dg/API_runtime_InvokeEndpoint.html
  baseURL: https://runtime.sagemaker.{region}.amazonaws.com
  tags:
  - Sagemaker Inference Experiment
  properties:
  - type: OpenAPI
    url: openapi/amazon-sagemaker-inference-experiment-api-openapi.yml
- aid: amazon-sagemaker:amazon-sagemaker-inference-recommendations-job-api
  name: Amazon SageMaker Sagemaker Inference Recommendations Job API
  description: The Sagemaker Inference Recommendations Job API from Amazon SageMaker — 4 operation(s) for sagemaker inference
    recommendations job.
  humanURL: https://docs.aws.amazon.com/sagemaker/latest/dg/API_runtime_InvokeEndpoint.html
  baseURL: https://runtime.sagemaker.{region}.amazonaws.com
  tags:
  - Sagemaker Inference Recommendations Job
  properties:
  - type: OpenAPI
    url: openapi/amazon-sagemaker-inference-recommendations-job-api-openapi.yml
- aid: amazon-sagemaker:amazon-sagemaker-job-api
  name: Amazon SageMaker Sagemaker Job API
  description: The Sagemaker Job API from Amazon SageMaker — 5 operation(s) for sagemaker job.
  humanURL: https://docs.aws.amazon.com/sagemaker/latest/dg/API_runtime_InvokeEndpoint.html
  baseURL: https://runtime.sagemaker.{region}.amazonaws.com
  tags:
  - Sagemaker Job
  properties:
  - type: OpenAPI
    url: openapi/amazon-sagemaker-job-api-openapi.yml
- aid: amazon-sagemaker:amazon-sagemaker-labeling-job-api
  name: Amazon SageMaker Sagemaker Labeling Job API
  description: The Sagemaker Labeling Job API from Amazon SageMaker — 5 operation(s) for sagemaker labeling job.
  humanURL: https://docs.aws.amazon.com/sagemaker/latest/dg/API_runtime_InvokeEndpoint.html
  baseURL: https://runtime.sagemaker.{region}.amazonaws.com
  tags:
  - Sagemaker Labeling Job
  properties:
  - type: OpenAPI
    url: openapi/amazon-sagemaker-labeling-job-api-openapi.yml
- aid: amazon-sagemaker:amazon-sagemaker-mlflow-app-api
  name: Amazon SageMaker Sagemaker Mlflow App API
  description: The Sagemaker Mlflow App API from Amazon SageMaker — 5 operation(s) for sagemaker mlflow app.
  humanURL: https://docs.aws.amazon.com/sagemaker/latest/dg/API_runtime_InvokeEndpoint.html
  baseURL: https://runtime.sagemaker.{region}.amazonaws.com
  tags:
  - Sagemaker Mlflow App
  properties:
  - type: OpenAPI
    url: openapi/amazon-sagemaker-mlflow-app-api-openapi.yml
- aid: amazon-sagemaker:amazon-sagemaker-mlflow-tracking-server-api
  name: Amazon SageMaker Sagemaker Mlflow Tracking Server API
  description: The Sagemaker Mlflow Tracking Server API from Amazon SageMaker — 7 operation(s) for sagemaker mlflow tracking
    server.
  humanURL: https://docs.aws.amazon.com/sagemaker/latest/dg/API_runtime_InvokeEndpoint.html
  baseURL: https://runtime.sagemaker.{region}.amazonaws.com
  tags:
  - Sagemaker Mlflow Tracking Server
  properties:
  - type: OpenAPI
    url: openapi/amazon-sagemaker-mlflow-tracking-server-api-openapi.yml
- aid: amazon-sagemaker:amazon-sagemaker-model-bias-job-definition-api
  name: Amazon SageMaker Sagemaker Model Bias Job Definition API
  description: The Sagemaker Model Bias Job Definition API from Amazon SageMaker — 4 operation(s) for sagemaker model bias
    job definition.
  humanURL: https://docs.aws.amazon.com/sagemaker/latest/dg/API_runtime_InvokeEndpoint.html
  baseURL: https://runtime.sagemaker.{region}.amazonaws.com
  tags:
  - Sagemaker Model Bias Job Definition
  properties:
  - type: OpenAPI
    url: openapi/amazon-sagemaker-model-bias-job-definition-api-openapi.yml
- aid: amazon-sagemaker:amazon-sagemaker-model-card-api
  name: Amazon SageMaker Sagemaker Model Card API
  description: The Sagemaker Model Card API from Amazon SageMaker — 5 operation(s) for sagemaker model card.
  humanURL: https://docs.aws.amazon.com/sagemaker/latest/dg/API_runtime_InvokeEndpoint.html
  baseURL: https://runtime.sagemaker.{region}.amazonaws.com
  tags:
  - Sagemaker Model Card
  properties:
  - type: OpenAPI
    url: openapi/amazon-sagemaker-model-card-api-openapi.yml
- aid: amazon-sagemaker:amazon-sagemaker-model-card-export-job-api
  name: Amazon SageMaker Sagemaker Model Card Export Job API
  description: The Sagemaker Model Card Export Job API from Amazon SageMaker — 3 operation(s) for sagemaker model card export
    job.
  humanURL: https://docs.aws.amazon.com/sagemaker/latest/dg/API_runtime_InvokeEndpoint.html
  baseURL: https://runtime.sagemaker.{region}.amazonaws.com
  tags:
  - Sagemaker Model Card Export Job
  properties:
  - type: OpenAPI
    url: openapi/amazon-sagemaker-model-card-export-job-api-openapi.yml
- aid: amazon-sagemaker:amazon-sagemaker-model-explainability-job-definition-api
  name: Amazon SageMaker Sagemaker Model Explainability Job Definition API
  description: The Sagemaker Model Explainability Job Definition API from Amazon SageMaker — 4 operation(s) for sagemaker
    model explainability job definition.
  humanURL: https://docs.aws.amazon.com/sagemaker/latest/dg/API_runtime_InvokeEndpoint.html
  baseURL: https://runtime.sagemaker.{region}.amazonaws.com
  tags:
  - Sagemaker Model Explainability Job Definition
  properties:


# --- truncated at 32 KB (53 KB total) ---
# Full source: https://artifacts.apis.io/amazon-sagemaker/apis.yml

Amazon SageMaker API — frequently asked questions

Does Amazon SageMaker have an API?

Yes. APIs.io lists 79 APIs from Amazon SageMaker, including Amazon SageMaker Runtime API, Amazon SageMaker Feature Store Runtime API and Amazon SageMaker Metrics Service API, and 76 more.

Is there an OpenAPI specification for the Amazon SageMaker API?

Yes. APIs.io indexes 74 OpenAPI specifications for Amazon SageMaker, each linked for download from this page.

How do I authenticate with the Amazon SageMaker API?

Amazon SageMaker uses bearer-token authentication.

How much does the Amazon SageMaker API cost?

Amazon SageMaker publishes its prices; its Data Agent Credit plan is $0.04 per credit as of 2026-09-20. APIs.io lists 6 pricing plans for Amazon SageMaker, with each plan's price, limits and inclusions under Pricing on this page.

Is the Amazon SageMaker API ready for AI agents?

Amazon SageMaker has a Kin Score of 71.2 out of 100 (exemplar) and an Agent Readiness score of 32.8 (agent-ready), scored by API Evangelist on 2026-11-06.

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