
What Momentic Can’t Test, Keploy Cancatch what breaks
Natural Language End-to-End Browser Test Automation
Keploy auto-generates backend API tests from real traffic using eBPF, while Momentic creates end-to-end browser tests from natural language descriptions using AI. Keploy targets API regression testing with auto-mocking; Momentic targets UI testing where testers describe flows in plain English and AI handles browser automation.
How Keploy turns real traffic into a test suite
One pipeline, running the moment your app receives a request. No SDKs, no sidecars, no test scripts — just kernel-level capture that becomes deterministic regression coverage.
- 01Real API trafficLive requests + responses from your running app
- 02eBPF captureKernel-level recording — zero code changes
- 03NormalizeTime-freeze + field noise removed automatically
- 04Generate testsDeterministic test cases from actual behavior
- 05Generate mocksEvery downstream dependency stubbed for you
- 06Replay in CIRuns locally, in CI, or in-cluster on Kubernetes
- 07Regression detectionDiffs flagged before they reach production
See how the capture-replay engine works under the hood.
Trusted by engineering teams at scale




















































Why teams switch from Momentic
Keploy eliminates manual test authoring by generating tests automatically from real traffic — no scripts, no stubs, no infrastructure setup.
Your testing bottleneck is backend API regression, not UI validation
You need auto-generated dependency mocks for microservices isolation
You want tests derived from actual production traffic patterns
The numbers behind the switch
Industry data on how much manual testing costs teams — and what Keploy delivers from the first recording session.
Writing tests, configuring mocks, debugging flakiness — not building features that ship.
A routine rename or interface change silently invalidates more than half your suite.
Keploy generates tests from every request your API actually handles — no guessing.
Traffic capture reaches edge cases, error paths, and concurrent requests no dev would write.
Pain stats sourced from developer productivity surveys. Coverage stats from Keploy production recording sessions across 50+ engineering teams.
Every number here comes from teams running Keploy in CI.
Zero code. Real tests. Automatically.
Keploy's eBPF agent intercepts every API call at the kernel level and turns live traffic into test cases with dependency mocks — no SDK, no sidecars, no annotations.
Incoming API Requests
Every API call your app makes gets captured, replayed as a test, and its dependencies auto-mocked — continuously, from real traffic.
How they compare, dimension by dimension
A logical breakdown across the dimensions that matter. Click any row for real-world KPI impact across industries.
Auto-generates from real API traffic via eBPF
AI converts natural language to browser E2E tests
Zero code changes needed for test generation
No code; tests written in plain English descriptions
Auto-generates mocks for all external dependencies
No mock generation; tests run against live environments
Native CI/CD pipeline integration with CLI
CI/CD integration with parallel browser execution
Language-agnostic via eBPF traffic capture
Language-agnostic; tests are natural language instructions
Apache 2.0 licensed with 20K+ GitHub stars
Proprietary SaaS platform
Click any dimension to see real-world KPI impact across industries.
Dive into how each capability actually works.
Your tests miss more than you think
Manual tests cover paths developers remember to write — usually just the happy path. Keploy captures every pattern production traffic actually generates.
Coverage grid shows 8 common endpoints × 10 production scenario types. Manual tests cover only what developers remember to write. Keploy captures every pattern your API actually serves in production.
Keploy is open source — read the code that captures this coverage.
The infrastructure you're maintaining
Traditional testing stacks require a shadow infrastructure to exist alongside your real app. Keploy eliminates all of it — tests and mocks come from actual traffic, not from services you run and maintain.
How they work differently
Architectural differences that affect workflow, cost, and velocity.
Keploy captures API-level traffic and generates integration tests that validate backend behavior without touching the browser. Auto-generated mocks isolate services from dependencies. Tests run fast in CI/CD and catch API contract regressions.
Momentic lets testers describe user journeys in natural language, and AI translates them into browser-based E2E tests. The AI adapts to UI changes, reducing test maintenance. It focuses on validating the full user experience through the browser, including visual elements and user interactions.
When to use each tool
Specific scenarios where each tool delivers the most value.
Keploy is the better fit when…
- Your testing bottleneck is backend API regression, not UI validation
- You need auto-generated dependency mocks for microservices isolation
- You want tests derived from actual production traffic patterns
- You need fast test execution in CI/CD without browser overhead
- You prefer open-source, self-hosted test infrastructure
Momentic is the better fit when…
- Your main testing gap is end-to-end browser flow validation
- Your QA team prefers writing tests in natural language over code
- You need AI-powered self-healing for UI tests that break on layout changes
- You want to validate the full user experience including visual elements
- Your application is UI-heavy and frontend regressions are your biggest risk
Compare the full workflow for your own stack.
The workflow you're escaping
Same starting point, same finish line. One path is short because Keploy does the tedious middle for you — the other is where teams lose days every sprint.
Without Keploy (Momentic / manual)
Every dependency is your problem, and every code change ripples back through the test suite you hand-built.
With Keploy
Record once from real traffic, replay anywhere. Tests and mocks are generated and stay in sync automatically.
Cut the maintenance middle out of your test suite.
The test maintenance trap
With Momentic, every feature commit generates a hidden tax — a follow-up "fix tests" commit. The commit history tells the whole story.
Deterministic replays, no flaky tests — see how.
Switch from Momentic in minutes
Choose the path that fits your workflow. Both are up and running the same day.
Install, record real API traffic, then replay it as regression tests — zero code changes, zero framework dependencies.
# 1. Installcurl --silent -O https://keploy.io/install.sh && source install.sh# 2. Record your traffickeploy record -c "your-start-command"# 3. Replay as testskeploy test -c "your-start-command" --delay 10Paste your cURLs, drop in an OpenAPI spec or Postman collection, and click Generate. Keploy builds your test suite in seconds.
Real-world scenarios
How Keploy handles the challenges your team actually faces.
E-Commerce Checkout Flow Validation
Keploy captures the API calls behind checkout (cart, pricing, payment, inventory) and generates backend regression tests with mocked payment gateways. It ensures the API layer is correct but does not validate the checkout UI.
Momentic lets QA describe the checkout flow in English: 'Add item to cart, proceed to checkout, enter shipping, pay with test card, verify confirmation.' AI executes this in the browser, catching UI issues like broken buttons or incorrect totals.
Multi-Service Backend Refactoring
Keploy's traffic-based tests catch API contract breaks across all microservices during a refactor. Auto-generated mocks let each service be tested independently, making it fast to validate that the refactored backend still behaves correctly.
Momentic can verify that end-to-end user flows still work after a backend refactor, but it cannot pinpoint which specific backend service broke. It validates the outcome but does not help isolate the root cause.
Join the teams shipping with confidence on Keploy.
What you write vs what Keploy writes
The same test coverage — one approach takes hours of setup and ongoing maintenance, the other takes five minutes and zero boilerplate.
Every new endpoint needs a new file. Every refactor breaks tests. Every non-deterministic value (timestamps, IDs) needs custom handling.
Keploy captures the real request, response, and all dependency calls. Non-deterministic fields are auto-detected and excluded from assertions.
Frequently asked questions
Common questions about choosing between Keploy and Momentic.
Still have questions? The docs and community can help.
Looking for a Momentic alternative?
Engineering teams evaluating Momentic alternatives often compare it with Keploy for API testing and regression coverage. Keploy captures real production traffic via eBPF and auto-generates tests with dependency mocks — requiring zero code changes. The key differences come down to how tests are generated (traffic-based vs manual), how dependencies are mocked (automatic vs configured), and what infrastructure changes are needed (none vs SDK/sidecar/containers).
Ready to stop writing tests manually?
Keploy captures your real API traffic and turns it into a regression suite automatically. Zero code changes. Full coverage from day one.