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Amazon CloudWatch

Amazon CloudWatch is an intelligent observability platform providing complete visibility into performance, availability, and security across your entire technology stack. Monitor applications, infrastructure, and workloads with unified metrics, logs, and traces plus AI-powered insights.

agent ready

Solid contracts, transparent operations, and an easy start — typically complete on four or five facets with one clear soft spot.

Kin Score

API Evangelist profiles Amazon CloudWatch the way a machine reads it — 57 machine-readable artifacts across 3 APIs, pulled from the provider's own public surface and indexed so a developer, an analyst, or an AI agent can evaluate it against every other provider on the network.

Every provider in the network is reduced to the same set of machine-readable artifacts — OpenAPI contracts, event specifications, GraphQL schemas, runnable collections, pricing and rate-limit signals, security posture, OAuth scopes, and the agent surfaces (MCP servers and skills) that let software drive the API on its own. We profile them because the interface is the part of a company you can actually inspect: it is a truer signal of what a provider does than any marketing page. From those artifacts we compute the Kin Score — Amazon CloudWatch scores 61.1/100 (strong), with a separate agent-readiness read of 48/100 (agent ready). The full breakdown is below, followed by every artifact we hold — each card links through to its machine-readable definition on apis.io.

Kin Score

This is the API Evangelist rating — a single, repeatable read computed from the artifacts on this page. Green fill is points earned; the red track is points possible, so every bar shows earned-versus-possible at a glance.

Kin Score Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5
Composite quality — 61.1/100 · strong
Contract Quality 19.7 / 25
Developer Ergonomics 8.3 / 20
Commercial Clarity 10.0 / 20
Operational Transparency 2.7 / 13
Governance 10.4 / 12
Discoverability 10.0 / 10
Agent readiness — 48/100 · agent ready
Machine-Readable Contract 18 / 18
Agentic Access Contract 15 / 15
MCP Server 0 / 12
Machine-Readable Auth 10 / 10
Idempotency 0 / 9
Stable Error Semantics 0 / 8
Request/Response Examples 0 / 7
Rate-Limit Signaling 0 / 7
Typed Event Surface 0 / 6
Agent Skills 0 / 5
Well-Known Catalog 4 / 4
Consent & Bot Identity 3 / 3

How we profile Amazon CloudWatch

Each block below is one kind of artifact we hold for Amazon CloudWatch. For each we say what it is and why it earns a place in the profile, then list every one we've indexed — capped at two rows, scroll within the panel for the rest.

APIs 3

Each API is captured as its own OpenAPI definition — every operation, parameter, and response. This is the single most useful machine-readable description of what an API does, and it's what lets us score, lint, mock, and generate against it without asking the provider for anything.

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

Amazon CloudWatch Alarms API

Operations for creating, describing, and deleting metric alarms

Amazon CloudWatch Dashboards API

Operations for creating, retrieving, and listing CloudWatch dashboards

Amazon CloudWatch Metrics API

Operations for publishing, retrieving, and listing CloudWatch metrics

Features 6

The notable capabilities this provider advertises, captured as structured features so they can be searched and compared instead of read one landing page at a time.

Notable capabilities this provider offers.

Unified Observability

Monitor metrics, logs, and traces in one interface for complete system visibility.

AI-Powered Insights

Detect anomalies and investigate issues using AI-powered CloudWatch Investigations.

Dashboards

Create custom dashboards with pre-built and customizable metric visualizations.

Alarms

Set threshold-based alarms on any metric to trigger automated actions.

Log Insights

Analyze log data with SQL and natural language queries using CloudWatch Logs Insights.

OpenTelemetry Integration

Ingest OpenTelemetry data alongside native AWS metrics and traces.

Semantic Vocabularies 1

JSON-LD contexts give the data shared meaning across APIs. We profile them because semantics are what let a machine reconcile 'customer' here with 'customer' somewhere else.

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

Amazon Cloudwatch Context

10 classes · 32 properties

JSON-LD

Spectral Rules 2

Governance rulesets we run against this provider's specs — the automated checks behind parts of the score. Profiling them makes the quality bar explicit and re-runnable, not a matter of opinion.

Amazon CloudWatch API Rules

5 rules · 3 warnings

SPECTRAL

Amazon CloudWatch API Rules

25 rules · 12 errors · 10 warnings

SPECTRAL

JSON Schema 11

Standalone JSON Schema definitions describe the data models behind the API. We profile them so the shapes are validatable on their own — useful long after a single request is forgotten.

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

Amazon CloudWatch Alarm

25 properties

JSON SCHEMA

Alarm

19 properties

JSON SCHEMA

Dashboard

4 properties

JSON SCHEMA

DescribeAlarmsResponse

2 properties

JSON SCHEMA

GetDashboardResponse

3 properties

JSON SCHEMA

GetMetricDataResponse

2 properties

JSON SCHEMA

GetMetricStatisticsResponse

2 properties

JSON SCHEMA

ListDashboardsResponse

2 properties

JSON SCHEMA

ListMetricsResponse

2 properties

JSON SCHEMA

Metric

3 properties

JSON SCHEMA

PutDashboardResponse

1 properties

JSON SCHEMA

Scroll within the panel for all 11 ·

JSON Structure 10

JSON Structure captures the data shapes in a form built for tooling — a complement to JSON Schema that keeps the model machine-legible.

JSON Structure definitions describing this provider's data shapes.

Cloudwatch Alarm Structure

19 properties

JSON STRUCTURE

Cloudwatch Dashboard Structure

4 properties

JSON STRUCTURE

Cloudwatch List Metrics Response Structure

2 properties

JSON STRUCTURE

Cloudwatch Metric Structure

3 properties

JSON STRUCTURE

Scroll within the panel for all 10 ·

Examples 10

Real request and response payloads are what turn a spec from abstract into obvious — and they're one of the twelve things an agent needs to call an API correctly on the first try.

Example request and response payloads for these APIs.

Scroll within the panel for all 10 ·

Security Posture 4

Authentication, domain security, vulnerability disclosure, and trust-center signals — the evidence that a provider takes security seriously enough to document it. We profile it because you can't govern what you can't see.

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

Amazon Cloudwatch Authentication

apiKey · 1 scheme

SECURITY

Amazon Cloudwatch Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Amazon Cloudwatch Vulnerability Disclosure

security.txt · contact published

SECURITY

Amazon Cloudwatch Trust Center

PCI DSS, HIPAA, FedRAMP, GDPR, FIPS 140

SECURITY

Agentic Access 1

An x-agentic-access contract marks which operations are safe for an agent to run on its own and which need a human in the loop. It is the difference between an API an agent can use and one it can use safely.

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

Amazon Cloudwatch Agentic Access

10 operations

10 operations · 0 acting

AGENTIC

Use Cases 4

What developers actually build with this provider — captured so the catalogue answers 'what is this for', not just 'what does this expose'.

What developers build with this provider.

Infrastructure Monitoring

Monitor EC2, RDS, Lambda, and other AWS resources with built-in metrics.

Application Performance

Track application performance metrics and detect latency or error rate spikes.

Log Analysis

Aggregate and query application logs for troubleshooting and analytics.

Automated Remediation

Trigger auto-scaling, Lambda functions, or SNS alerts based on metric alarms.

Integrations 5

Pre-built integrations with other platforms tell you where this provider already fits in a stack.

Pre-built integrations with other platforms and tools.

Amazon EC2

Monitor EC2 instance performance metrics including CPU, network, and disk.

AWS Lambda

Monitor Lambda invocations, errors, and duration metrics automatically.

Amazon Prometheus

Ingest Prometheus metrics into CloudWatch for unified monitoring.

Grafana

Connect CloudWatch data sources to Grafana dashboards.

AWS X-Ray

Correlate traces from X-Ray with CloudWatch metrics and logs.

Resources

Every other property we hold for Amazon CloudWatch — documentation, portals, status pages, policies, and corporate surface — grouped by the job it does, following the integrator's arc from getting started to running in production.

Get Started 3

Portal, sign-up, and the first successful call

Documentation 1

Reference material describing how the API behaves

Agent Surfaces 3

MCP servers, agent skills, and machine-readable catalogs

Design & Contract 2

Pagination, idempotency, versioning, errors, and events

Build 2

SDKs, sample code, and the tooling you integrate with

Learn 1

Tutorials, courses, talks, and written guidance

Commercial 2

Pricing, plans, and the legal terms of use

Company 3

The organization behind the API

← All providers · Data indexed from github.com/api-evangelist/amazon-cloudwatch · machine-readable index on apis.io