# JMeter.AI

**Canonical:** https://apis.io/providers/jmeter-ai/  
**Website:** https://jmeter.ai/  
**APIs profiled:** 1

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.

## Kin Score — 11.6 / 100 (emerging)

Scored 2026-11-13 under rubric 0.28.0.

| Facet | Score |
|---|---|
| Discoverability | 57.1 |
| Contract Quality | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 19.0 |
| Developer Ergonomics | 28.6 |
| Access Clarity | 0.0 |

Regulatory layer — **Horizontal (data, software, accessibility, platform)**: 0.0 (matched via fallback).

## Agent readiness — 0.0 (human-only)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | no |
| Auth Clarity | no |
| Idempotency | no |
| Error Semantics | no |
| OpenAPI Examples | no |
| Rate Limit Signal | no |
| Event Surface Described | no |
| Agent Skills | no |
| Well Known Catalog | no |
| Consent Identity | no |
| Agent Card | no |
| Dry Run Mode | no |
| Delegated Identity | no |
| Protected Resource Metadata | no |
| Dynamic Client Registration | no |
| Agentic Commerce | no |
| Pagination Ratio | na |
| Operation Distinctiveness | na |
| MCP Tool Quality | na |

## Access

Unknown — onboarding: unknown, pricing: unknown, trial: no (confidence: low).

## APIs (1)

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

## Security (1)

- **JMeter.AI Domain Security** — TLSv1.3 · HSTS · DNSSEC

## Tags

Performance, Artificial Intelligence, Apache-JMeter, Plugins, Automation

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Profiled by [API Evangelist](https://apievangelist.com) and published on [APIs.io](https://apis.io/providers/jmeter-ai/). Scores are computed from the provider's own public artifacts under a published rubric.