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.
Limited machine-readable signal and partial portal coverage — documentation a human can read, but little a machine or agent can consume without scraping.
API Evangelist profiles Chaos Mesh the way a machine reads it — 82 machine-readable artifacts across 2 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 38.3/100 (thin), with a separate agent-readiness read of 20/100 (agent aware). 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. Every facet and dimension name is a link: it opens that measurement's page on APIs.io, where the rating runs across the whole catalog — the exact checks that feed it, how every profiled provider distributes on it, and who is at the top of it.
Kin Score
How this is scored →scored 2026-09-10 · rubric v0.20.0
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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 10
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).
API Collection
OPEN COLLECTIONChaos Mesh Dashboard Archives API
OPEN COLLECTIONChaos Mesh Dashboard Archives Common API
OPEN COLLECTIONChaos Mesh Dashboard API
OPEN COLLECTIONChaos Mesh Dashboard API
OPEN COLLECTIONChaos Mesh Dashboard Archives Events API
OPEN COLLECTIONChaos Mesh Dashboard Archives Experiments API
OPEN COLLECTIONChaos Mesh Dashboard Archives Schedules API
OPEN COLLECTIONChaos Mesh Dashboard Archives Templates API
OPEN COLLECTIONChaos Mesh Dashboard Archives Workflows API
OPEN COLLECTIONScroll within the panel for all 10 ·
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 things the Kin Score reads for access clarity — renamed from commercial clarity in rubric 0.12, because a free statutory interface has access terms and no commercial ones.
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
RATE LIMITSFinOps 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.
Chaos Mesh Finops
FINOPSFeatures 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
JSON-LDSpectral 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
SPECTRALJSON 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
JSON SCHEMASecurity 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.
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.
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 3
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 3
SDKs, sample code, and the tooling you integrate with
Access & Security 3
Authentication, authorization, and security posture
Operate 5
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
← All providers · Data indexed from github.com/api-evangelist/chaos-mesh · machine-readable index on apis.io
This is an independent, third-party profile of Chaos Mesh, 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.
Corrections, re-scores, and removal are free — no partnership or purchase required, and you do not need to justify the request. A removed company is recorded as unrated, never scored zero for having asked. Acknowledgement within one business day; removal within two.
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