Keploy is an AI powered API testing platform that transforms real application traffic into comprehensive, production-grade test suites. Automatically generate intelligent tests that uncover hidden edge cases, execute end-to-end validation on demand, and gain actionable insights through advanced schema coverage analytic all while accelerating delivery and eliminating manual test maintenance.
Intelligent API Testing Built from Real Traffic Keploy is an AI-driven API testing platform that empowers engineering teams to automatically generate, execute, and maintain enterprise-grade test suites derived from actual production traffic. Purpose-built for developers and QA engineers who demand velocity without compromising quality, Keploy eliminates flaky tests, tedious manual scripting, and complex staging environments. How Keploy Works Keploy intelligently captures live API calls, database queries, and external service interactions from your running applications, converting them into executable end-to-end and integration tests with realistic data mocks. Unlike synthetic test scenarios, this traffic-based approach ensures your tests mirror genuine user behavior, real-world edge cases, and actual system interactions. Execute On-Demand Validation Run generated tests locally, in CI/CD pipelines, or across Kubernetes environments to validate changes, catch regressions, and safeguard critical workflows like authentication, checkout, and payment processing. With automatically generated mocks for downstream dependencies, teams can execute comprehensive tests without maintaining expensive staging infrastructure or dealing with unreliable third-party services. Discover Hidden Edge Cases Keploy's AI engine analyzes traffic recordings and API specifications (OpenAPI, Swagger) to generate tests that explore beyond happy-path scenarios. It systematically probes boundary values, validates field presence and types, and uncovers subtle variations that expose latent bugs and reliability issues dramatically enhancing resilience without increasing manual effort. Evolving Test Coverage As your application evolves, new traffic automatically enriches your test suite, ensuring continuous alignment with real-world usage patterns and emerging user behaviors.
Highlights
AI-Enhanced Test Generation: Automatically create intelligent API tests from real traffic and specifications
Zero Manual Maintenance: Self-updating test suites that evolve with your application and seamlessly integrates with modern development workflows and deployment pipelines
Comprehensive Coverage Analytics: Deep visibility into schema coverage, statement coverage, and API quality metrics.
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Pricing is based on the duration and terms of your contract with the vendor, and additional usage. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. Usage-based pricing is in effect for overages or additional usage not covered in the contract. These charges are applied on top of the contract price. If you choose not to renew or replace your contract before the contract end date, access to your entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
This listing uses a contract model with five billing dimensions you can combine. Two are usage-based: Test Generation and Test Run, which you pay for by the unit as your testing volume grows. User bills per seat, scaling with your team size. Enterprise covers the full paid subscription with its included capabilities and support. Enterprise Trial lets you evaluate the platform before committing. Together, the seat-based and usage-based units let your costs scale with both team size and testing activity, while the Enterprise and Trial dimensions define the subscription itself.
Top-of-mind questions for buyers
What counts as one Test Generation unit and one Test Run unit for billing?
One Test Generation unit is a single generated test, created from API specs or captured traffic. One Test Run unit is one execution of a test in your pipeline. You are metered each time a test is generated or run, so these units track your actual testing activity.
Which dimension drives most of my cost — users, test generation, or test runs?
The User dimension bills per seat and scales with team size. Test Generation and Test Run bill per unit and scale with testing volume. All apply at the same time on one invoice. Heavy automated pipelines make run and generation units dominate; smaller teams see the seat charge lead.
What is the difference between the Enterprise and Enterprise Trial dimensions?
Enterprise is the paid subscription with its included capabilities and support. Enterprise Trial lets you evaluate the platform before committing. The Trial defines an evaluation period, while Enterprise defines the ongoing subscription you move to once you decide to proceed.
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- Generates tests from API traffic. - Keeps regression suites updated. - Works smoothly in CI/CD. - Open-source and developer-friendly
What do you dislike about the product?
We would appreciate more language-specific guides.
What problems is the product solving and how is that benefiting you?
As our APIs grew, test coverage became difficult to maintain. Writing test cases manually for every endpoint slowed development and often left gaps in regression coverage. Keploy helped by generating tests from real API interactions instead of requiring us to create them from scratch. We now spend less time maintaining test suites and more time shipping features. The generated mocks also make local development and testing much easier.
Computer Software
Tests And Mocks From Real Traffi
Reviewed on Aug 26, 2026
Review provided by G2
What do you like best about the product?
Records real traffic into tests Auto-generates mocks and stubs no code changes, eBPF-based open source and free
What do you dislike about the product?
Docs thin on a few edge cases Setup on some stacks takes too long
What problems is the product solving and how is that benefiting you?
Found it through the CNCF community when I was tired of writing API tests by hand. Never knew how much time recording real traffic would save. Keploy just captures the calls my app already makes and turns them into test cases and mocks, so I am not hand-writing payloads or maintaining stubs anymore. It runs in CI the same way, and I did not have to touch the application code to set it up
Yeder R.
Keploy Makes API Testing Easier and increase dev productivity!
Reviewed on Jul 19, 2026
Review provided by G2
What do you like best about the product?
One of the things I appreciate most about Keploy is how it prioritizes the developer experience. Instead of relying on manual test creation, it captures actual API interactions to generate meaningful test cases automatically, making the testing process far more efficient and seamless. I’m also drawn to its collaborative open-source community and its strong focus on engineering excellence.
What do you dislike about the product?
Nothing sort of such to dislike in keploy!
What problems is the product solving and how is that benefiting you?
Personally I have dealt with the problem of first finding the actual production flows in the application , and then writing tests for it , needed manual intervention, keploy helps me to reduce the time on testing while automatically finding the flows, and helping the robust release for the application at each deployment!
shreya s.
Keploy Auto-Generates Test Cases from Real Traffic—No Mocks Needed
Reviewed on Jul 14, 2026
Review provided by G2
What do you like best about the product?
What makes keploy awesome is that it automatically records your real app traffic to create test cases, saving you tons of time. Plus, it lets you test your code without needing to manually set up or mock databases and third-party APIs
What do you dislike about the product?
Nothing in particular. I don’t have anything to dislike about Keploy.
What problems is the product solving and how is that benefiting you?
Using the application in real time effectively becomes the test suite, which saves a lot of time.
Kunal C.
Effortless API Testing with Standout Features
Reviewed on Jun 22, 2026
Review provided by G2
What do you like best about the product?
I use Keploy for testing my app infrastructure and appreciate that it provides a sandbox for testing my app APIs. I find its kernel network intercept feature very interesting. It's really easy to open Docker and run Keploy on my macOS, which I find very useful.
What do you dislike about the product?
Not sure
What problems is the product solving and how is that benefiting you?
I use Keploy for testing my app infrastructure and it provides a sandbox for testing my app APIs.