Amazon Augmented AI
Amazon Augmented AI (Amazon A2I) is a machine learning service that makes it easy to build the workflows required for human review of ML predictions. Amazon A2I brings human review to all developers, removing the undifferentiated heavy lifting associated with building human review systems or managing large numbers of human reviewers.
Amazon Augmented AI publishes 1 API on the APIs.io network: Human Loops API. Tagged areas include Amazon Augmented AI, Human In The Loop, Machine Learning, and AI Review.
The Amazon Augmented AI catalog on APIs.io includes 1 JSON-LD context and 2 Spectral governance rulesets.
Amazon Augmented AI’s developer surface includes authentication and 6 more developer resources.
Kin Score
Kin Score
How this is scored →scored 2026-08-03 · rubric v0.9
APIs 1
Individual APIs this provider publishes, each with its own machine-readable definition.
Amazon Augmented AI Human Loops API
Operations for creating and managing human review loops
Features 10
Notable capabilities this provider offers.
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Semantic Vocabularies 1
JSON-LD contexts and semantic vocabularies used across these APIs.
Amazon Augmented Ai Context
JSON-LDSpectral Rules 2
Spectral governance rulesets for linting and validating these APIs.
Amazon Augmented AI API Rules
SPECTRALAmazon Augmented AI API Rules
SPECTRALJSON Schema 12
Standalone JSON Schema definitions for this provider's data models.
DataAttributes
JSON SCHEMADeleteHumanLoopResponse
JSON SCHEMADescribeHumanLoopResponse
JSON SCHEMAHumanLoopActivationResults
JSON SCHEMAHumanLoopInput
JSON SCHEMAHumanLoopOutput
JSON SCHEMAHumanLoopSummary
JSON SCHEMAListHumanLoopsResponse
JSON SCHEMAStartHumanLoopRequest
JSON SCHEMAStartHumanLoopResponse
JSON SCHEMAStopHumanLoopRequest
JSON SCHEMAStopHumanLoopResponse
JSON SCHEMAScroll for all 12
JSON Structure 12
JSON Structure definitions describing this provider's data shapes.
A2I Data Attributes Structure
JSON STRUCTUREA2I Delete Human Loop Response Structure
JSON STRUCTUREA2I Describe Human Loop Response Structure
JSON STRUCTUREA2I Human Loop Activation Results Structure
JSON STRUCTUREA2I Human Loop Input Structure
JSON STRUCTUREA2I Human Loop Output Structure
JSON STRUCTUREA2I Human Loop Summary Structure
JSON STRUCTUREA2I List Human Loops Response Structure
JSON STRUCTUREA2I Start Human Loop Request Structure
JSON STRUCTUREA2I Start Human Loop Response Structure
JSON STRUCTUREA2I Stop Human Loop Request Structure
JSON STRUCTUREA2I Stop Human Loop Response Structure
JSON STRUCTUREScroll for all 12
Examples 12
Example request and response payloads for these APIs.
A2I Data Attributes Example
EXAMPLEA2I Human Loop Input Example
EXAMPLEScroll for all 12
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 6
What developers build with this provider.
Integrations 10
Pre-built integrations with other platforms and tools.
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Resources
Agent Surfaces 3
MCP servers, agent skills, and machine-readable catalogs
Build 1
SDKs, sample code, and the tooling you integrate with
Access & Security 3
Authentication, authorization, and security posture
Source (apis.yml)
This is an independent, third-party profile of Amazon Augmented AI, published by API Evangelist. We do not operate, host, resell, or support these APIs, and we are not affiliated with or endorsed by the company unless stated above. Everything here is built from publicly available information — the company's own site, developer portal, documentation, public repositories, and the specifications it publishes for public use. Nothing is obtained by breaching a system, defeating an access control, or using credentials.
The Kin Score and Agent Readiness rating are independently calculated assessments of a company's public API artifacts, scored against a published rubric. They are not certifications, endorsements, security assessments, or audits.
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