Layer 1
Layer 1

Regression Testingthat actually works!

Record real API calls and responses, then replay them against new versions. Any unexpected changes are flagged instantly, keeping every release reliable.

Record Once
Mock Dependencies
Alert on Drift

Live Regression Testing

Recording

Live Traffic Recording

Capture real API calls and responses runtime.

Mock Traffic and Replay

Automatically replay recorded traffic against new versions

Catch Regressions In Any Testig Workflow

Quickly catch breaking regressions in any testing workflow

Trusted in production by engineering teams globally.

Reliance
Pixis
InstaAstro
Amazon
Whatfix
Reliance
Pixis
InstaAstro
Amazon
Whatfix
Reliance
Pixis
InstaAstro
Amazon
Whatfix
Reliance
Pixis
InstaAstro
Amazon
Whatfix
Maruti Suzuki
Nutanix
LambdaTest
Leadsquare
Edureka
Maruti Suzuki
Nutanix
LambdaTest
Leadsquare
Edureka
Maruti Suzuki
Nutanix
LambdaTest
Leadsquare
Edureka
Maruti Suzuki
Nutanix
LambdaTest
Leadsquare
Edureka
0%

Less Test Maintenance

0%

Automated Test Case Generation

0%

Reduced Flakiness

0%

Faster Creation

1M+

Downloads

100M+

Tests Generated

1B+

Dev Hours Saved

100K+

Bugs Caught

Generate Comprehensive Regression Tests, Automatically

Keploy automatically creates regresssion tests from API traffic, covering edge cases, error scenarios, and data variations without you writing a single line of code.

Keploy Logo

Ready to Generate Tests

Generating test cases • 0 completed • 0 failed

Generated Tests Through Recording
0 / 8

Initializing test generation...

Tests will start automatically

Test Summary & Analysis
Ready
0
Generated
0
Failed
0
Running

Tests generating...

Results will appear here as tests complete

When Your App Changes,Your Regression Tests Evolve Too, Smartly.

Keploy automatically detects API changes so that you can re-record new test cases in seconds. No manual rewrites, no downtime.

Tests Passing

Step 1 of 5

Test Execution Results

✓ GET /users
✓ POST /users
✓ DELETE /users

Tests

47

Pass Rate

100%

Without Keploy

Hours
API changes deployed
Tests start failing
Manual debugging required
Test code rewritten by hand
Re-deploy tests
Wait and pray

With Keploy

Seconds
API changes detected
Tests fail (expected)
Click "Re-record"
New tests auto-generated
Instantly passing
Move to next task

No Flaky Tests,Only Rock Solid, Reliable Tests

Other test case generators fail on dynamic data. Keploy automatically detects and ignores noisy fields like timestamps and random IDs.

Without Keploy

Every timestamp or random ID changes, causing test failures even though your app works perfectly

Run 1: timestamp changed
Expected: "2024-11-17T14:32:45.123Z"
Got: "2024-11-17T14:32:46.456Z"
FAILED
Run 2: timestamp changed
Expected: "2024-11-17T14:32:45.123Z"
Got: "2024-11-17T14:32:46.456Z"
FAILED
Run 3: timestamp changed
Expected: "2024-11-17T14:32:45.123Z"
Got: "2024-11-17T14:32:46.456Z"
FAILED

With Keploy

Noisy fields are automatically ignored. Tests focus on what matters

Run 1: Structure validated
userId is present
message is correct
PASSED
Run 2: Structure validated
userId is present
message is correct
PASSED
Run 3: Structure validated
userId is present
message is correct
PASSED
Raw API Response
{
"data": {
"userId": "12345",
"username": "john_doe",
"email": "john@example.com",
"timestamp": "2024-11-17T14:32:45.123Z",// NOISE DETECTED
"requestId": "req_abc123xyz789",// NOISE DETECTED
"sessionId": "sess_1234567890",// NOISE DETECTED
"createdAt": "2024-11-17T14:32:45.000Z",// NOISE DETECTED
"nonce": "n0nc3_rand0m_v4lu3",// NOISE DETECTED
"message": "User authenticated successfully"
}
}
Raw Data
Stable fields (asserted)
Noisy fields (ignored)

Fields Analyzed

5

Noise Detected

5

Test Stability

100%

No External Services RequiredDependency-Free Testing

Eliminate dependencies from API outages. Keploy automatically generates mocks from real traffic for complete test isolation.

Live Service Status

Watch what happens when services fail

Database

MongoDB
Supabase
NeonDB

Not connected but mocked by Keploy

Keploy serves recorded mocks instead of the offline service

Payment Gateway

Stripe
Razorpay
PayPal

Not connected but mocked by Keploy

Keploy serves recorded mocks instead of the offline service

Blob Storage

AWS S3
Firebase
Azure Blog Storage

Not connected but mocked by Keploy

Keploy serves recorded mocks instead of the offline service

Cache

Redis
Memcached
Upstash

Connected

Cache traffic stays live

Test Results

Tests powered by Keploy mocks

test_replays.log
$ keploy test -c "python3 app.py" --delay 10 --path "./tests"
→ Starting test suite with Keploy...
→ Loading mocks from cache...
Demo will auto-start or click the button to begin...

Smart Bug Detection Using AI

Keploy uses AI to automatically analyze traffic, generate tests, and actively hunt for bugs with confidence scores to prioritize issues.

Proactive Bug Detection: AI analyzes API behavior to spot unexpected errors and inconsistent results automatically.

AI Confidence Scores: Each bug is assigned a confidence score to help you prioritize real issues first.

Smart Pattern Recognition: Learns from API patterns to identify edge cases and negative scenarios others miss.

Keploy AI bug detection and confidence scoring

Automatic Deduplication

Keploy intelligently identifies and removes duplicate test cases based on request/response patterns, keeping your test suite lean and fast without manual intervention.

Hash-Based Detection

Creates unique fingerprints for each test based on request/response data

Automatic Cleanup

Removes redundant tests while preserving unique coverage

Faster Execution

Run only unique tests, reducing execution time significantly

Test Suite

Original test collection

Automatic Updates vs Manual MaintenanceSelf-Healing Tests That Adapt

Keploy regenerates tests with code changes, eliminating maintenance overhead and saving hundreds of hours.

Select Maintenance Scenario

Manual Maintenance

Modify endpoint from /users/:id to /v2/users/:id - manually update all 23 test files

4.5 hours per change

Keploy Solution

Keploy detects API changes and automatically regenerates all tests in seconds

~30 seconds

ROI Calculator

See how much time your team saves with automated testing. Every change becomes faster and more reliable.

6m
1 month1 year
15
5 changes50 changes

That's 50.6 days saved for your team!

Hours Saved

405

Days Saved

50.6

Per Change

4.5h

Savings Breakdown

Time per change4.5h
Changes per month15
Time period6 months
Total time saved405 hours

Process Comparison

See how Keploy transforms hours of work into seconds

Manual Approach

Code Deployed

Tests Fail

0.25h

Investigate

1.5h

Update Tests

3h

Verify Fixes

1.25h
Total Time Required:6.0 hours
Keploy Logo

Keploy Approach

Code Deployed

Changes Detected

1.15s

Re-record Tests

1.15s

Tests Passing

5s
Total Time Required:7.30 seconds

Maintenance Scenarios

See how Keploy handles different types of changes automatically

API Endpoint Changes

Manual
4.5h
Keploy
~30s
Efficiency gain540x faster

Response Schema Updates

Manual
3.2h
Keploy
~30s
Efficiency gain384x faster

Business Logic Changes

Manual
5.8h
Keploy
~30s
Efficiency gain696x faster

Database Schema Updates

Manual
2.9h
Keploy
~30s
Efficiency gain348x faster

Tests that don't break in CI/Cd Pipelines

Keploy makes your test data and test runs behave the same on your laptop and inside CI pipelines.

Problem

Tests that work locally fail in CI/CD due to environment differences and missing setup.

Keploy Solution

Keploy tests run consistently in any CI/CD environment with zero configuration.

Key Benefits

  • Works seamlessly with GitHub Actions, GitLab CI, Jenkins
  • Zero environment-specific configuration
  • Reproducible results across all environments
  • Tests run deterministically in CI pipelines
  • Built-in reporting and failure tracking
Keploy CI/CD visualization

Regression Testing Features

Everything you need for comprehensive, automated regression testing

Automatic Test Generation

Keploy records real API traffic and turns it into test cases automatically. No manual scripting needed—your regression suite is always based on actual user flows.

FAQs

Regression testing checks if new code changes have unintentionally broken existing features. Keploy makes this process easy by automatically recording API calls during normal usage and turning them into repeatable tests. When you make changes to your code, Keploy replays these tests to catch any unexpected behavior or regressions.

No, that's one of the best parts! Keploy captures real API traffic and generates regression tests for you. This saves you time and ensures your tests reflect actual usage patterns.

Keploy replays recorded API calls in a test environment and compares the new responses to the original ones. If there are any differences that shouldn't be there, Keploy flags them as potential regressions.

No, that's one of the best parts! Keploy captures real API traffic and generates regression tests for you. This saves you time and ensures your tests reflect actual usage patterns.

Yes! Keploy is designed to capture session data, headers, and dependencies between requests. This means it can handle multi-step workflows and stateful interactions, not just simple one-off API calls.

Absolutely. Keploy can mock databases and third-party services, so your regression tests run in isolation and aren’t affected by changes or downtime in external systems.

Yes! Keploy works well with CI/CD tools, so you can automatically run regression tests on every code change, ensuring issues are caught early.

Definitely. Keploy is built to scale, making it a great fit for microservices and large projects. It can record and replay API calls across multiple services, helping you catch regressions anywhere in your architecture.

Test with Keploy AI

Get the power of AI to your Testing Pipelines!