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Keploy Review

Keploy generates API test cases and mocks by capturing real API traffic, utilizing AI to create tests and identify regressions.

shipped Sep 15, 2026image-generationpaid
Domain rating57Monthly visits256K/mo
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Keploy — product screenshot

Why it matters

1Keploy generates API test cases and mocks by capturing real API traffic at the Linux kernel socket layer using eBPF.
2The platform supports verifying changes in isolated environments locally, in CI, or across Kubernetes.
3Keploy introduced 'Schema Coverage' and 'Suite Sharing with Permissions' in January 2026.
4It launched 'Self-Healing Tests' in December 2025, which automatically adapt to non-breaking API changes.

Specs

API Available

Yes, public API

overview

What is Keploy?

Keploy is an AI-powered testing platform developed by Keploy that enables development teams to automate the generation of unit, integration, and API tests from real user traffic. It functions by recording live API calls and network interactions at the Linux kernel socket layer (using eBPF) as an application runs, automatically generating regression test cases and dependency mocks (stubs) from these recordings without requiring code changes. This process supports any programming language or framework, aiming to reduce manual testing effort and accelerate release cycles. The platform focuses on generating tests from observed API traffic and identifying regressions.

features

Key Features of Keploy

Keploy's core functionality revolves around its ability to capture real API traffic and leverage AI for test generation and regression detection. It operates at the Linux kernel socket layer using eBPF, ensuring zero code changes for integration. The platform provides comprehensive testing capabilities, including dependency mocking and coverage analysis.

  • Generates API test cases by capturing real API traffic.
  • Generates dependency mocks (stubs) by capturing real API traffic.
  • Utilizes AI to create tests and identify regressions automatically.
  • Records actual API calls to produce test cases and data mocks.
  • Supports verifying changes in isolated environments (locally, CI, Kubernetes).
  • Provides API coverage and schema coverage metrics.
  • Offers deduplication capabilities for test cases and mocks.
  • Enables recording of live application traffic.
  • Facilitates replaying captured traffic in CI/CD pipelines.
  • Features 'Self-Healing Tests' that adapt to non-breaking API changes.

use cases

Who Should Use Keploy?

Keploy is designed for development teams, QA engineers, and DevOps professionals seeking to automate API and integration testing, reduce manual effort, and improve test coverage. Its capabilities are particularly beneficial for organizations managing complex microservices architectures or legacy applications.

  • Development teams requiring automated API and integration testing to eliminate manual test case writing.
  • Organizations needing dependency mocking and service virtualization for deterministic testing without external service reliance.
  • Teams testing legacy and brownfield applications that cannot easily be modified for testing purposes.
  • Engineers performing migration regression testing during Kubernetes migrations or framework updates.
  • CI/CD pipeline managers aiming for continuous validation and comprehensive coverage reports.

how to use

How to Use Keploy

Keploy integrates into existing development workflows by capturing network traffic during application execution. Users typically start by deploying Keploy alongside their application to record API interactions, which then automatically generate test cases and mocks.

  • 1Install Keploy in the development or testing environment.
  • 2Run the target application with Keploy actively capturing API traffic.
  • 3Keploy automatically records API calls and network interactions at the eBPF layer.
  • 4Generated test cases and dependency mocks are stored for future use.
  • 5Replay the generated tests in isolated environments (local, CI, Kubernetes) to verify changes.
  • 6Analyze API and schema coverage reports provided by Keploy.

pricing

Keploy Pricing & Plans

Keploy operates on a paid pricing model. Specific tier details and pricing figures are not publicly disclosed on the primary source, but the platform indicates a capacity for generating over 300 million mocks.

  • Paid: Specific pricing details are not publicly available.

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Pros

  • +Automates API and integration test case generation from real traffic, eliminating manual coding.
  • +Generates dependency mocks automatically, enabling deterministic testing without external service reliance.
  • +Utilizes AI for test creation and regression identification, including 'Self-Healing Tests' that adapt to API changes.
  • +Operates at the Linux kernel socket layer (eBPF), requiring zero code changes for integration.
  • +Provides comprehensive API and schema coverage, along with deduplication capabilities.
  • +Supports testing in various environments: locally, in CI/CD pipelines, and across Kubernetes.

Cons

  • −Specific pricing details and tier breakdowns are not publicly available.
  • −Some users have noted a learning curve, particularly with advanced features or initial setup.
  • −Rapid pace of development may require users to frequently adapt to updates.
  • −While supporting any language via API capture, some users have noted limited support for non-JavaScript applications in certain contexts.

Policies

Pricing Page

View Pricing→

Similar Tools

Keploy vs Competitors

Keploy differentiates itself through its eBPF-based traffic capture and AI-powered automatic test and mock generation, which requires zero code changes. This approach contrasts with many traditional and some modern testing tools.

1
AREX↗

AREX is an open-source API testing tool that records and replays live request traffic into a test environment for continuous testing with real data.

Like Keploy, AREX captures and replays real API traffic to generate tests, but it emphasizes continuous testing with real production data. Keploy also focuses on AI-driven test case generation and regression identification, which AREX does not explicitly highlight.

2

WireMock is a flexible library for stubbing and mocking web services, supporting API replay via its recording and playback functionality to create stub mappings.

WireMock excels at creating flexible mocks and stubs from recorded traffic, offering fine-grained control over responses. While Keploy automates test case generation, WireMock requires more manual configuration for test assertions but provides powerful mocking capabilities.

3
GoReplay↗

GoReplay specializes in capturing and replaying live HTTP traffic for shadowing, load testing, and detailed analysis without affecting the live application.

GoReplay is primarily a traffic capture and replay tool for performance and regression testing, offering raw traffic replay. Keploy focuses more on generating structured test cases and mocks with AI from captured traffic, rather than just replaying raw traffic.

4
Mokapi↗

Mokapi is an open-source, multi-protocol mock API tool that captures real API interactions and replays them, also supporting OpenAPI and AsyncAPI specifications for dynamic mocking.

Mokapi offers traffic recording and replay similar to Keploy for generating tests and mocks, but it extends to multi-protocol support (HTTP, Kafka, LDAP, SMTP) and emphasizes declarative mocks-as-code configuration. Keploy's focus is more on AI-driven test case generation and regression detection specifically for API tests.

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