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 4 APIs on the APIs.io network, including Endpoints API, Models API, Notebook Instances API, and 1 more. Tagged areas include AI, Inference, Machine Learning, MLOps, and Training.
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 45 more developer resources.
Kin Score
Kin Score
How this is scored →scored 2026-07-28 · rubric v0.6
APIs 9
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.
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Postman Collections 1
Ready-to-run Postman collections for exercising this provider's APIs.
Amazon SageMaker API
POSTMANOpen Collections 1
Open, tool-agnostic API collections (OpenAPI-derived and Bruno).
Amazon SageMaker API
OPEN COLLECTIONArazzo Workflows 8
Multi-step API workflows described with the Arazzo specification.
Amazon SageMaker Audit Endpoint Fleet
List hosted endpoints and describe the most recently created one in detail.
ARAZZOAmazon SageMaker Deploy Existing Model
Verify an existing model, build an endpoint configuration for it, create an endpoint, and poll it to service.
ARAZZOAmazon SageMaker Deploy Model to Endpoint
Create a model, build an endpoint configuration, launch an endpoint, and poll it until it is in service.
ARAZZOAmazon SageMaker Inventory Models
List registered models and describe the most recently created one in detail.
ARAZZOAmazon SageMaker Provision Notebook Instance
Create a SageMaker notebook instance and poll it until it is in service.
ARAZZOAmazon SageMaker Register Latest Completed Training
Find the most recent completed training job, read its artifacts, and register a model from them.
ARAZZOAmazon SageMaker Train Model and Poll Job
Start a SageMaker training job and poll its status until it reaches a terminal state.
ARAZZOAmazon SageMaker Train Then Deploy
Train a model to completion, then register it from the produced artifacts and stand up a hosted endpoint.
ARAZZOScroll for all 8
GraphQL 1
GraphQL schemas published by this provider.
Amazon SageMaker GraphQL Schema
This GraphQL schema provides a conceptual graph representation of the [Amazon SageMaker REST API](https://docs.aws.amazon.com/sagemaker/latest/APIReference/). SageMaker is a ful...
GRAPHQLPricing Plans 1
Published pricing tiers and plan structures.
Rate Limits 1
Documented rate limits and quota policies.
Amazon Sagemaker Rate Limits
RATE LIMITSFinOps 1
Cost, billing, and metering signals for API financial operations.
Amazon Sagemaker Finops
FINOPSFeatures 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
JSON-LDSpectral Rules 2
Spectral governance rulesets for linting and validating these APIs.
Amazon SageMaker API Rules
SPECTRALAmazon SageMaker API Rules
SPECTRALJSON Schema 7
Standalone JSON Schema definitions for this provider's data models.
Endpoint
JSON SCHEMAModel
JSON SCHEMANotebookInstance
JSON SCHEMANotebookInstance
JSON SCHEMATag
JSON SCHEMATrainingJob
JSON SCHEMATrainingJob
JSON SCHEMAScroll for all 7
JSON Structure 6
JSON Structure definitions describing this provider's data shapes.
Amazon Sagemaker Endpoint Structure
JSON STRUCTUREAmazon Sagemaker Model Structure
JSON STRUCTUREAmazon Sagemaker Notebook Instance Structure
JSON STRUCTUREAmazon Sagemaker Structure
JSON STRUCTUREAmazon Sagemaker Tag Structure
JSON STRUCTUREAmazon Sagemaker Training Job Structure
JSON STRUCTUREExamples 18
Example request and response payloads for these APIs.
Amazon Sagemaker Tag Example
EXAMPLEScroll for all 18
Security Posture 3
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Agentic Access 1
Recommended x-agentic-access execution contracts for AI agents.
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
Documentation 3
Reference material describing how the API behaves
Agent Surfaces 1
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 16
Pagination, idempotency, versioning, errors, and events
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Build 12
SDKs, sample code, and the tooling you integrate with
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Access & Security 5
Authentication, authorization, and security posture
Learn 2
Tutorials, courses, talks, and written guidance
Operate 4
Status, limits, changes, and where to get help
Commercial 3
Pricing, plans, and the legal terms of use
Company 1
The organization behind the API
Other 1
Properties that don't map to a standard resource type