Developers are shipping more code than ever. Verification hasn’t kept pace. Karate Labs is the precision layer for AI testing in the regulated enterprise — autonomous QA, agent-callable infrastructure, audit-grade evidence.
Featured in the Gartner® Market Guide · API & MCP Testing ToolsThe trust gap
There is no AI without APIs.
No trust without verification.
Coding agents now write, test, and ship production code at machine speed. QA capacity has not scaled with them. The teams that win the next decade aren’t the ones helping developers write code faster — they’re the ones helping enterprises trust code faster.
The precision principle
AI is forgiving in some places. APIs are not. The same approximation that makes UI automation feel magical produces hard failures the moment it touches an API call.
UI Testing
API Testing
Karate has been built for API precision since day one. That’s the foundation our AI strategy rests on — not a feature retrofitted onto a UI-testing tool.
The Karate Labs AI testing stack
Each layer is shipping today. Together they form the verification stack regulated enterprises need to trust agent-generated code at scale.
Autonomous QA
Explores APIs, generates tests, verifies UIs. Self-hosted, BYO LLM, air-gap ready. The QA team that scales with your agents — without scaling your headcount.
See Karate Agent
The precision layer
An MCP-native server and token-efficient CLI. Your agents call Karate when they need things they can’t do alone — async protocols, parallel execution at scale, audit-grade evidence — and call VeriQuant for complex business-rules verification: insurance pricing, financial calculations, eligibility logic.
See Karate EnterpriseThe trust layer
Structured HTML reports with embedded payloads, timings, and session video. Standard JUnit XML and Cucumber JSON exports. The evidence regulators and CISOs accept — what ad-hoc agent testing cannot give you.
See Trust & Security
By design
No outbound calls.·No telemetry.·No hosted control plane.
Your agents, your tests, your audit trail — every component runs inside your perimeter. Pair Karate Agent with a local LLM via Ollama and the entire pipeline is air-gap deployable end-to-end.
FAQ
UI testing tolerates approximation. Recognising a button or interpreting screen text the way a human would is forgiving — small mistakes can be corrected without breaking the workflow. API testing has no such tolerance. A single missing parameter, a typo in a field name, or a malformed JSON payload causes the call to fail outright. Hallucinations that AI tools handle gracefully in UI contexts produce hard failures in API contexts. Karate is built for that precision — the framework, the runtime, and the AI integration are all designed around the constraint that API calls must be exactly right.
Karate exposes its capabilities through an MCP server and a token-efficient CLI, which means coding agents (Claude, Cursor, Copilot, custom internal agents) can invoke Karate when they need things they cannot do alone — async protocol testing, parallel execution at scale, schema validation, audit-grade evidence. The pattern is not to replace the agent’s existing HTTP capabilities but to be the precision layer the agent calls when curl alone is insufficient.
Yes. Every component is self-hosted. Karate Agent runs in Docker on your infrastructure; pair it with a local LLM via Ollama and the entire pipeline — browser, agent, model, reports — runs inside your perimeter with zero outbound calls. The MCP server and CLI both work the same way against local models as against cloud LLMs, so air-gap deployment is a configuration choice, not a separate product. Used in production by financial services, insurance, and healthcare customers with strict data-residency requirements.
Every test run produces structured HTML reports with embedded payloads, response timings, assertions, and (for browser tests) session video. Standard JUnit XML and Cucumber JSON exports integrate into any CI/CD or report aggregation tool. For regulated industries, the report becomes the artifact auditors and regulators accept — tied to a requirement, traceable to a test, supported by evidence. This is the compliance layer ad-hoc LLM-driven testing cannot provide.
Karate Labs is featured in the Gartner® Market Guide for API and MCP Testing Tools. Most AI-augmented testing tools are GUI-first and consumer-oriented (Postman) or built for vision-based UI testing (Tricentis, mabl, Applitools). Karate’s differentiation is the depth of its API and async protocol foundation — Kafka, gRPC, WebSocket support that GUI-first tools have only recently begun to address — combined with a code-first, CLI-native architecture that fits how AI agents actually work. For enterprises in regulated industries that need precision, sovereignty, and audit-grade evidence, that combination is unique.
Talk to our enterprise team about a scoped pilot, or read the public Enterprise Evaluation guide — 95 answers to the questions technical and procurement teams typically ask.