JMeter.AI

JMeter.AI provides AI‑powered plugins, tools, and learning resources for Apache JMeter, enabling autonomous test‑plan generation, intelligent diagnostics, and performance‑engineering automation. Built by QAInsights, it offers products like Feather Wand, Super Key, Prism and more, supporting Apache JMeter 5.6.3+ on Java 17+. The platform integrates with multiple LLM providers and offers a documentation hub, calculators, and an academy for performance engineers.

JMeter.AI is listed with 1 API on the APIs.io network. Tagged areas include Performance, Artificial Intelligence, Apache-JMeter, Plugins, and Automation.

JMeter.AI’s developer surface includes changelog, API reference, documentation, getting-started guide, and 6 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

11.6/100 emerging Agent 0/100 human only Full breakdown ↓
scored 2026-11-13 · rubric v0.28.0 · Show this score on your site →

1 API

Performance Artificial IntelligenceApache-JMeterPlugins Automation

Kin Score

Kin Score How this is scored →
scored 2026-11-13 · rubric v0.28.0

Composite quality — 11.6/100 · emerging

Contract Quality 0.0 / 21

Developer Ergonomics 4.9 / 17

Access Clarity 0.0 / 17

Operational Transparency 2.1 / 11

Contract Governance 0.0 / 10

Discoverability 4.9 / 9

Regulatory Posture 0.0 / 15

Agent readiness — 0/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 0 / 12

Machine-Readable Auth 0 / 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 0 / 4

Consent & Bot Identity 0 / 3

A2A Agent Card 0 / 8

Dry-Run / Simulate Mode 0 / 4

Delegated User Identity 0 / 6

Protected Resource Metadata 0 / 5

Registration Without a Human 0 / 6

Agentic Commerce Well-Known Document 0 / 5

Pagination 5 / 5

Distinct Operations 3 / 3

MCP Tool Quality 6 / 6

Regulatory Posture applies to this provider. Its tags matched the Horizontal (data, software, accessibility, platform) regime, so Regulatory Posture carries 15 points of the composite. If this regime is wrong for your business, say so on your provider repo — the applicability map is public and we will correct it.

Create-or-Update Ergonomics could not be measured. We hold no machine-readable contract for this provider to read, so there is nothing to measure a write surface against. Excluded rather than scored zero: never-measured and measured-empty are different facts. Publishing an OpenAPI is what makes this facet — and several others — scorable at all.

The six quality facets above are damped to 85 points between them, because the conditional facet above carries the other 15. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 85% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.

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Agent readiness — checks not met, largest first (exact, from this profile):

Machine-Readable Contract +18 pts — api_specs includes an OpenAPI document Ask about this →
MCP Server +12 pts — deployment.mode + probe verdict on the mcp/ manifest, not the pointer; an unprobed slug falls back to authorship Ask about this →
Agentic Access Contract +10 pts — agentic_access artifact present (x-agentic-access), graded by author Ask about this →
Machine-Readable Auth +10 pts — a served openid-configuration/oauth-authorization-server carrying `issuer` (served), else the securitySchemes class in the provider OpenAPIs — bound (mutualTLS, DPoP, Signature) > negotiable (oauth2 authorizationCode/clientCredentials, openIdConnect) > bearer (http bearer, apiKey) Ask about this →
Idempotency +9 pts — OpenAPI mutating operations declare an idempotency key — a header, a request-body property, or a named de-duplication token whose own description says so (verified); else common[].type matches /idempoten/i (documented) Ask about this →
Stable Error Semantics +8 pts — OpenAPI $refs a shared error schema across 4xx/5xx responses (verified), else common[].type includes ErrorCatalog / ErrorCodes / DeclineCodes Ask about this →

13 more unmet checks in the Agent Readiness table above.

Kin Score — facets with the most composite points still available (weight × headroom):

Contract Quality scores 0.0 — up to +25.0 composite points Ask about this →
Access Clarity scores 0.0 — up to +20.0 composite points Ask about this →
Developer Ergonomics scores 28.6 — up to +14.3 composite points Ask about this →

Each check links to what satisfies it. Publish the artifact, or tell us where it already lives, and the score moves on the next scoring run.

Not sure how this applies to your stack? Ask about any one item. Kin Lane reads every question, looks at your profile and your situation, and replies with what a fix would take — scoped to that one area, priced up front, yours whether you ship it or not. Ask a question →

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. Every facet and dimension name above is a link: it opens that measurement's own page — what it means, the exact checks that feed it, how the whole catalog distributes on it, and the providers at the top of it. This rating is computed from the provider profile at artifacts.apis.io/jmeter-ai/apis.yml: open an issue on github.com/api-evangelist/jmeter-ai to ask a question or point us at an artifact you publish. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

APIs 1

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

JMeter AI API

API documentation for JMeter AI platform providing AI‑powered plugins and tools for Apache JMeter.

Security Posture 1

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

JMeter.AI Domain Security

TLSv1.3 · HSTS · DNSSEC

SECURITY

Resources

Get Started 1

Portal, sign-up, and the first successful call

GettingStarted

GettingStarted

Documentation 2

Reference material describing how the API behaves

APIReference

APIReference

Documentation

Documentation

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

Build 1

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

GitHubOrganization

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Operate 1

Status, limits, changes, and where to get help

ChangeLog

ChangeLog

Company 1

The organization behind the API

Website

Website

Other 2

Properties that don't map to a standard resource type

Hosts

Hosts

Vendors

Vendors

Source (apis.yml)

aid: jmeter-ai
name: JMeter.AI
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source:
  - security
  generated: '2026-11-13'
  method: derived
image: https://jmeter.ai/og.png
description: JMeter.AI provides AI‑powered plugins, tools, and learning resources for Apache JMeter, enabling autonomous test‑plan
  generation, intelligent diagnostics, and performance‑engineering automation. Built by QAInsights, it offers products like
  Feather Wand, Super Key, Prism and more, supporting Apache JMeter 5.6.3+ on Java 17+. The platform integrates with multiple
  LLM providers and offers a documentation hub, calculators, and an academy for performance engineers.
url: https://artifacts.apis.io/jmeter-ai/apis.yml
x-type: company
x-source: harvest:mcp-registry
x-tier: profiled
x-tier-reason: enrichment pass 2026-11-13 (modular-v1; was harvest)
specificationVersion: '0.20'
created: '2026-11-12'
modified: '2026-11-12'
tags:
- Performance
- Artificial Intelligence
- Apache-JMeter
- Plugins
- Automation
tags_raw:
- Performance
- AI
- Apache-JMeter
- Plugins
- Automation
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: LLMsTxt
  url: llms/jmeter-ai-llms.txt
- type: Hosts
  url: hosts/jmeter-ai-hosts.yml
- type: Vendors
  url: vendors/jmeter-ai-vendors.yml
- type: GitHubOrganization
  url: https://github.com/QAInsights
- type: ChangeLog
  url: https://docs.jmeter.ai/releases
- type: APIReference
  url: https://docs.jmeter.ai/reference/mail
- type: DomainSecurity
  url: security/jmeter-ai-domain-security.yml
- type: Website
  url: https://jmeter.ai/
- type: Documentation
  url: https://docs.jmeter.ai/
- type: GettingStarted
  url: https://jmeter.ai/quickstart/
apis:
- name: JMeter AI API
  description: API documentation for JMeter AI platform providing AI‑powered plugins and tools for Apache JMeter.
  humanURL: https://docs.jmeter.ai/
  baseURL: null
  properties: []
  aid: jmeter-ai:api
x-enrichment:
  date: '2026-11-13'
  status: enriched
  artifacts_added: 10
  pass: modular-v1
  engine: identity=local,contract=local,surfaces=local,docs=local,regulatory=local

JMeter.AI API — frequently asked questions

Does JMeter.AI have an API?

Yes. APIs.io lists 1 API from JMeter.AI, including JMeter AI API.

Is the JMeter.AI API ready for AI agents?

JMeter.AI has a Kin Score of 11.6 out of 100 (emerging) and an Agent Readiness score of 0.0 (human-only), scored by API Evangelist on 2026-11-13.

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