Now accepting early access applications

E2E Testing for
Multi-Microservices
In Your Own Environment

Define your business flows, describe your service APIs, and map your architecture. CratonAI generates a complete E2E test suite with no/low code — deploying directly into your CI/CD pipeline and running inside your own infrastructure.

Request Early Access See How It Works
Deployed in your environment — your data never leaves your infrastructure
CratonAI Platform — Test Generation Workflow
01
Define
Business Flow
"User checks out → payment charged → stock reduced → receipt sent"
Service APIs
GET /payments
POST /inventory/reserve
POST /notifications/send
Services Used
HTTP Kafka Redis
02
Review & Confirm
14 scenarios generated — confirm expected results
checkout_happy_path CONFIRM
payment_confirmed CONFIRM
payment_retry_on_timeout REVIEW
stock_decrement_on_order REVIEW
You confirm what the expected outcome should be — not AI
03
Deploy & Run
# Drop into your CI/CD
docker compose \
  -f .craton/tests.yml \
  up --abort-on-exit
 
⟳ awaiting your review
Runs inside your testing infrastructure
Real services, real data flows
No code written by your team

Integrates with your existing CI/CD stack

GitHub Actions Jenkins GitLab CI CircleCI Docker Kubernetes Azure DevOps

How It Works

From business logic
to running tests in minutes

No traffic recording. No observability setup. No code changes in your services.

01

Describe your services

Upload your OpenAPI / Swagger specifications and describe your business flows in plain language. CratonAI understands what your system is supposed to do, not just what your endpoints look like.

swagger.yaml · plain english
02

AI generates your test suite

CratonAI maps service dependencies, generates realistic fake data consistent across all service boundaries, and creates comprehensive test scenarios — happy paths, edge cases, and failure modes.

14 scenarios · 3 services · cross-boundary data
03

Deploy to your environment

A Docker package deploys directly into your CI/CD pipeline. Tests run inside your own infrastructure, against your real services. Your data never leaves your environment.

docker · your CI/CD · your infrastructure

No-Code / Low-Code

Built for teams running
microservice architectures

Everything you need to get real E2E coverage across your services — nothing you don't.

Business-logic driven test generation

Most tools generate tests from API specs alone — testing endpoints, not behaviour. CratonAI reads your Swagger specs and your plain-language description of what your system should do, then generates test scenarios that validate real user journeys across multiple service boundaries.

# You describe the intent
logic: "when user checks out, charge card, reduce stock, send receipt"
→ CratonAI generates 8 scenarios across payment-svc, inventory-svc, email-svc
🔗

Cross-service data chaining

Response fields from Service A automatically become inputs to Service B. Fake data is generated to be consistent across all service boundaries — no manual variable passing, no brittle hardcoded IDs.

🏗️

Runs in your environment

Tests deploy as a Docker container into your own CI/CD pipeline. They run against your real internal services, including services not exposed to the internet. Your data stays in your infrastructure.

🔄

Auto-sync on API changes

When your Swagger specs change, CratonAI detects the diff and updates affected test scenarios automatically. Your test suite stays current without manual rework.

🛡️

Flakiness-resistant by design

Async-aware polling, exponential backoff, environment health checks, and isolated test namespaces eliminate intermittent failures that erode confidence in your CI/CD pipeline.


Deployment

Your environment.
Your control.

CratonAI is designed to work inside your infrastructure, not around it.

Tests run where
your services live

Unlike hosted testing platforms that can only reach your public APIs, CratonAI automatically generates a test framework that you deploy directly into your own environment — giving your tests access to every internal service, no matter how deep in your stack.

1

Generate on our platform

Provide your Swagger specs and business logic. CratonAI generates your test suite in the cloud.

2

Download Docker package

A self-contained Docker package is ready to drop into your existing CI/CD workflow.

3

Tests run in your environment

On every deployment, tests run inside your infrastructure against your real services. Results surface in your pipeline.

github-actions · your-repo
# .github/workflows/e2e.yml
name: CratonAI E2E Tests
on: [push, pull_request]
 
jobs:
  e2e:
    runs-on: self-hosted
    steps:
      - name: Run CratonAI Tests
        run: |
          docker compose \
            -f .craton/docker-compose.test.yml \
            up --abort-on-container-exit
 
Tests running in your infrastructure
Access to all internal services
No data leaves your environment

Comparison

Why teams choose CratonAI

Existing tools solve parts of the problem. CratonAI is built for cross-service E2E testing from the ground up.

Capability
Other Common Tools
CratonAI
Business-logic input
Requires traffic recording or manual setup
Plain language + Swagger
Cross-service E2E generation
Single service or endpoint focus
Full cross-service flows
Runs in your own environment
~ Hosted platforms only reach public APIs
Deploys inside your infrastructure
Cross-service data consistency
Manual variable management
Schema-aware automatic chaining
No existing infra required
Needs OTel, traffic, or SDKs
Works from Swagger specs alone
Auto-update on API changes
Manual rework required
Diff-aware regeneration
Early Access

Be among the first teams
to try CratonAI

We're onboarding a small group of engineering teams before public launch. Join free — your feedback directly shapes what we build next.

Request Early Access

No commitment · Free during early access · Your feedback shapes the product