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Chaos Mesh website screenshot

Chaos Mesh

Chaos Mesh is a CNCF graduated cloud-native chaos engineering platform that orchestrates chaos experiments on Kubernetes to test system resilience and reliability. It exposes Kubernetes Custom Resource Definitions (CRDs) for a wide range of chaos kinds (network, pod, IO, stress, DNS, time, kernel, JVM, HTTP), along with a Chaos Dashboard web UI backed by a REST API for creating, managing, and monitoring chaos experiments and workflows. Chaos Mesh integrates with Kubernetes, Argo Workflows, Prometheus, Grafana, and CI/CD pipelines to run experiments safely in staging and production environments.

agent ready

Real signal across most facets with visible, nameable gaps — the contract exists but is thin, or the portal is good while governance and commercial terms are absent.

Kin Score

API Evangelist profiles Chaos Mesh the way a machine reads it — 74 machine-readable artifacts across 7 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 — Chaos Mesh scores 56.5/100 (developing), 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 — 56.5/100 · developing
Contract Quality 16.7 / 25
Developer Ergonomics 7.4 / 20
Commercial Clarity 7.9 / 20
Operational Transparency 6.8 / 13
Governance 8.8 / 12
Discoverability 8.8 / 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 7 / 7
Typed Event Surface 0 / 6
Agent Skills 0 / 5
Well-Known Catalog 0 / 4
Consent & Bot Identity 0 / 3

How we profile Chaos Mesh

Each block below is one kind of artifact we hold for Chaos Mesh. 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 7

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.

Chaos Mesh Archives API

Access archived (completed or deleted) experiments, schedules, and workflows

Chaos Mesh Common API

Utility endpoints for cluster metadata, namespaces, and configuration

Chaos Mesh Events API

Query chaos experiment events and audit logs

Chaos Mesh Experiments API

Create, manage, pause, and delete chaos experiments

Chaos Mesh Schedules API

Create and manage scheduled chaos experiments

Chaos Mesh Templates API

Manage reusable status check templates for workflows

Chaos Mesh Workflows API

Create and manage chaos engineering workflows with multiple steps

Scroll within the panel for all 7 ·

Open Collections 2

Open, tool-agnostic collections carry the same runnable value as Postman without locking you to one client — the portable, forkable form of the same exercise.

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

Chaos Mesh Dashboard API

OPEN COLLECTION

Chaos Mesh Dashboard API

OPEN COLLECTION

Pricing Plans 1

Pricing is part of the interface. Machine-readable plans tell you what a tier costs and includes before you commit — one of the six things the Kin Score reads for commercial clarity.

Published pricing tiers and plan structures.

Rate Limits 1

Rate limits are the difference between a demo that works and a production integration that doesn't fall over. Publishing them is an operational-transparency signal — and a hard requirement for any agent that plans its own throughput.

Documented rate limits and quota policies.

Chaos Mesh Rate Limits

5 limits

RATE LIMITS

FinOps 1

Cost, billing, and metering signals let a buyer model the financial operations of an API before it's live. We profile them for the same reason we profile pricing: the money is part of the contract.

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

Features 23

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.

Pod Chaos

Network Chaos

IO Chaos

Stress Chaos

Kernel Chaos

Time Chaos

DNS Chaos

JVM Chaos

HTTP Chaos

AWS Chaos

GCP Chaos

Azure Chaos

Block Chaos

Physical Machine Chaos

Workflows

Schedules

Chaos Dashboard

Kubernetes CRDs

REST API

RBAC

Audit Events

Safe Mode

Status Monitoring

Scroll within the panel for all 23 ·

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.

Chaos Mesh Context

6 classes · 12 properties

JSON-LD

Spectral Rules 1

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.

Chaos Mesh API Rules

6 rules · 4 warnings

SPECTRAL

JSON Schema 1

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.

Chaos Mesh Experiment

4 properties

JSON SCHEMA

Security Posture 2

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.

Chaos Mesh Authentication

http · 1 scheme

SECURITY

Chaos Mesh Domain Security

TLSv1.3 · HSTS

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.

Chaos Mesh Agentic Access

75 operations · 40 acting

75 operations · 40 acting

AGENTIC

Use Cases 11

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.

Resilience Testing

Disaster Recovery Drills

SRE Game Days

Canary Validation

Production Reliability Testing

Multi-Region Failover Testing

Performance Bottleneck Discovery

Observability Validation

Continuous Chaos in CI/CD

Microservices Dependency Testing

Database Fault Tolerance Testing

Scroll within the panel for all 11 ·

Integrations 22

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

Pre-built integrations with other platforms and tools.

Kubernetes

EKS

GKE

AKS

OpenShift

Rancher

Argo Workflows

Argo CD

Prometheus

Grafana

OpenTelemetry

Jaeger

Datadog

Litmus

GitHub Actions

GitLab CI

Jenkins

Tekton

Helm

AWS

Google Cloud

Azure

Scroll within the panel for all 22 ·

Resources

Every other property we hold for Chaos Mesh — 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 1

Portal, sign-up, and the first successful call

Documentation 2

Reference material describing how the API behaves

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

Design & Contract 1

Pagination, idempotency, versioning, errors, and events

Build 2

SDKs, sample code, and the tooling you integrate with

Access & Security 2

Authentication, authorization, and security posture

Operate 3

Status, limits, changes, and where to get help

Commercial 1

Pricing, plans, and the legal terms of use

Company 2

The organization behind the API

Other 3

Properties that don't map to a standard resource type

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