Automated Test Data Generation
From Real Traffic.
Keploy records and analyzes real traffic to generate context-aware, IP-localized, realistic test data, not random values.
Generate Test Data from Recorded Traffic

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Smart LocalizationAnd Automatic IP-Aware Test Data
Other tools generate the same data. Keploy automatically generates context-aware data.
IP-Aware Generation
Automatically detects location and generates contextually appropriate test data
Format Perfect Data
Currency, phone, address formats tailored to each region
Global Coverage
Data based on different regions and locales out of the box
Select Region
India
Other Tools

Same generic data everywhere
KEPLOY
Automatically adapts to each region
Generate Real Tests. Record From Real Traffic.
Keploy captures real traffic from your environment. Analyzes the interactions to generate test cases that reflect real behavior.
Production/Environment
Recording from your Environment

Keploy Agent
Test Data Generated (Ready To Use)
Mocked database queries and generated production-like test data.
PostgreSQL
SupabaseMocked payment gateways and captured real transaction flows to generate test data.
Mocked auth flows with realistic identities and tokens to generate test data.
OAuth2
SSOMocked external APIs with environment-agnostic payloads and generated test data.
Mocked downstream microservices for deterministic responses and generated relevant test data.
Incoming Requests
Generated Test Data
Generate Realistic and Relevant Test Data
Other tools give irrelevant placeholder data, Keploy generates meaningful data that helps you test real scenarios.
API Specification
Other Mock Tools:
Generates irrelevant random data
KEPLOY:
Generates relevant, realistic data
Keploy generates valid
test data in correct format.
Most tools generate random strings, invalid formats, and unrealistic edge cases. Keploy produces relevant, valid test data that mirrors real scenarios.
Real Data from Traffic
Captures actual user data from production APIs instead of generating random placeholders
Correct Data Types
Preserves proper formats - emails, phone numbers, currencies - exactly as they appear in production
Realistic Values
Data respects real-world constraints and patterns, preventing false test failures
Edge Cases Included
Captures production edge cases and anomalies that random generators would never create
Random Data
Traditional generators
Random string
Invalid format
Fake number
Generic placeholder
Not real product
Unrealistic value
Generic ID format
Future date
Placeholder category
Invalid status code
Keploy's Data
From real traffic
Real user from Mumbai
Valid email format
Real Indian number
Actual location
Real menu item
Market-realistic price
Real user identifier
Actual timestamp
Meaningful category
Valid order status
Click to compare the random data generated by other tools vs AI powered by Keploy
Random Data
Meaningless strings
AI-Powered
Real user patterns
Random Phone
Invalid format
Valid Phone
Real format
Fake Card
Won't work in tests
Test Card
Valid test format
Bad Date
Invalid dates
Real Date
Contextual timing
Random URL
Broken links
Real URL
Production-like
Random Price
Unrealistic values
Market Price
Real-world pricing
Keep Your Repo Lightning Fast
Large mock files slow down your repository. Keploy auto uploads them to cloud storage after successful tests, keeping repo lightweight and not making it heavy with too much data.
Lightweight Repo
No large files committed to Git. Faster clones and pulls for your entire team.
Auto-Upload
Mocks automatically uploaded after successful test runs. Zero manual work.
Smart Sync
Cloud mocks take priority. Missing locally? Downloaded automatically during tests.
Secure Storage
Choose public for shared mocks or private for sensitive data. Full access control.
When tests pass: Mocks upload to cloud, config.yml generated, and files added to .gitignore
Local Git Repository
Your project folder

Keploy Cloud Storage
Mock Registry
Test Execution
Run tests and generate
Test Validation
Validate all test cases
Mock Collection
Gather all mock files
Data Processing
Compress and encrypt
Cloud Upload
Upload to cloud
Config Generate
Generate config file
Update Gitignore
Update ignore rules
Complete Ready
Ready for team use
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

Why Everyone Choose Keploy?
Compare Keploy against other test data generation tools and platforms
Data Accuracy
How closely test data matches production reality
Real Edge Cases
Ability to capture actual edge cases from production
Localization
Context-aware data for different regions
Test Reliability
How often tests pass consistently
Data Freshness
How up-to-date the test data stays
Setup Time
Time to get your first test data
Data Generation
Time to generate comprehensive test suite
Maintenance
Ongoing effort to keep data current
Test Coverage
Number of test scenarios generated
Learning Curve
How much you need to learn
Configuration
Amount of setup required
Integration
How easy to add to existing projects
Documentation
Quality of documentation and guides
Features Won
Superior in every category
Data Accuracy
Production-grade quality
Time Saved
Compared to manual
Setup Time
Fastest in category
FAQs
Test data generation in Keploy involves creating realistic mock data automatically by recording API calls and replaying them. This eliminates the need for manual stubs and accelerates automated test data generation.
Keploy provides a test data generator that captures real API interactions to generate realistic test data. This helps developers test their applications with accurate mock data for backend services, APIs, and databases.
Yes, Keploy supports database test data generators for SQL, MongoDB, DynamoDB, Redis, and more. It enables developers to generate mock data sets for testing different database systems without writing custom scripts.
Keploy includes a mock data generator for API endpoints. It can simulate backend services such as Twilio, S3, and Google Maps, helping developers test without depending on external APIs.
Yes, Keploy is an open-source test data generation tool. Developers can use it as a free mock data generator to automate test creation and generate dummy data for testing applications.