Keploy
Overview
Keploy turns application traffic and API specifications into repeatable regression tests and dependency mocks.
Keploy turns application traffic and API specifications into repeatable regression tests and dependency mocks.
Capture requests, responses and dependency calls, then replay them against a new build. Specification-based generation can add scenarios beyond recorded traffic; engineers decide the expected behavior.
Engineers configure capture, safe test environments, secrets and CI execution. Editable YAML makes tests inspectable, but meaningful coverage still depends on the scenarios supplied.
Choose Keploy for backend regression checks where realistic request and dependency behavior matters. Review assertions and retain appropriate tests against real services.
Product overview
Capabilities, pricing and fit
Keploy turns application traffic and API specifications into repeatable regression tests and dependency mocks.
Information as of November 10, 2026
What it can do
- What it does
Capture requests, responses and dependency calls, then replay them against a new build. Specification-based generation can add scenarios beyond recorded traffic; engineers decide the expected behavior.[1], [2], [3]
- Setup and human role
Engineers configure capture, safe test environments, secrets and CI execution. Editable YAML makes tests inspectable, but meaningful coverage still depends on the scenarios supplied.[1], [2], [3]
- Connections
Connect GitHub, GitLab or Jenkins pipelines. Plan-specific mocks isolate database, queue and HTTP dependencies for test replay.[1], [2], [3]
- Video guide
This January 2025 official Keploy tutorial demonstrates a Cypress migration workflow. Use the current documentation for setup and supported versions.[4]
Where it fits best
Pricing and availability
The Apache-2.0 local core and free Playground provide accessible entry points. Pro is listed at $19 per user per month plus additional usage, with $19 included credit; enterprise deployment is quoted.[1], [2], [3]
Access: Engineers configure capture, safe test environments, secrets and CI execution. Editable YAML makes tests inspectable, but meaningful coverage still depends on the scenarios supplied.[1], [2], [3]
Sources (4)
- keploy.io — product informationOfficial site · checked 2026-11-10
- keploy.io — product informationOfficial site · checked 2026-11-10
- keploy.io — product informationOfficial site · checked 2026-11-10
- Product introduction or demonstrationOfficial site · checked 2026-11-10
Autonomy level
83/100
Our subjective rating of how independently the product carries out its documented tasks, considering the human setup, input, approval and review it needs. This is not a measured success rate.
Comparisons
Custom Comparisons
Some of the use cases of Keploy:
- Choose Keploy for backend regression checks where realistic request and dependency behavior matters. Review assertions and retain appropriate tests against real services.
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