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A magnifier inspecting parts with amber pass marks — automated QA pipeline
APPCELERATE SUITEAGENT-NATIVE

Tests that write themselves from your specs.

Point QA Suite at a Swagger/OpenAPI spec and it generates test suites — 28 across 11 projects — then runs an AI pipeline of case generation, script generation and execution with insight dashboards.

What is QA Suite?

QA Suite is Moderor's AI test management product. It generates test suites from Swagger/OpenAPI specifications and runs an AI pipeline — case generation → script generation → execution — with dashboards for pass rate, coverage, response times, an API risk heatmap by method, and per-endpoint failure hotspots.

Observed In Production
  • 28 SUITES FROM OPENAPI SPECS
  • 11 PROJECTS MANAGED
  • CASE → SCRIPT → EXECUTION PIPELINE
  • AI INSIGHTS ON PASS RATE
demo.moderor.ai
QA Suite dashboard in Moderor.ai

Capabilities

/ FEATURES
Ø1

Spec-driven generation

28 test suites generated directly from Swagger/OpenAPI specs across 11 projects.

Ø2

Three-stage AI pipeline

Case generation, script generation and execution run as one pipeline — no manual handoffs.

Ø3

Risk heatmaps

An API risk heatmap by HTTP method plus failure hotspots per endpoint focus attention.

Ø4

AI insights

The dashboard narrates findings — e.g. 'overall pass rate below 80%' — beside pass rate, coverage and response times.

By the numbers

/ PROOF
0
Generated suites
0
Projects
0
Pipeline stages
0%
Pass-rate insight threshold

Questions, answered

FAQ
How does QA Suite generate tests?

From your API contract: it reads Swagger/OpenAPI specs and generates test suites automatically, then generates executable scripts and runs them — a full case → script → execution AI pipeline.

What insights does it provide?

Pass rate, coverage and average response time, an API risk heatmap by method, failure hotspots per endpoint, and written AI insights flagging issues like sub-80% pass rates.

Does it work with existing projects?

Yes — 11 projects run in the reference deployment; any service with an OpenAPI spec can onboard.

See it on your data.

Connect a source over MCP, point an agent at a control set, and watch the first findings arrive — with you in command.