Keploy
Software testing tools
Automated testing software
- Features
- Ease of use
- Ease of management
- Quality of support
- Affordability
- Market presence
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$19 per user per month
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What is Keploy
Keploy is an automated testing tool that generates API tests by recording real application traffic and replaying it as test cases. It targets engineering teams building microservices and backend APIs that want to reduce manual test authoring and improve regression coverage. The product focuses on capturing requests/responses, creating test suites, and integrating with CI pipelines for continuous validation.
Traffic-based test generation
Keploy can create test cases from captured API traffic rather than requiring developers to write tests from scratch. This approach can accelerate initial test coverage for services with existing usage patterns. It is particularly suited to regression testing where real-world request/response shapes matter.
API and microservices focus
The product is designed around backend/API workflows, including request/response assertions and replay-based validation. This aligns well with teams operating distributed services where end-to-end behavior is difficult to test with purely unit-level approaches. It complements broader QA approaches by focusing on service-level correctness.
CI-friendly automation workflow
Keploy is commonly used in automated pipelines to run recorded tests on code changes and detect regressions. This supports continuous delivery practices by making test execution repeatable and scriptable. Teams can incorporate it alongside other testing and observability tools without changing user research or UX testing processes.
Limited fit for UX testing
Keploy’s core capability centers on API traffic capture and replay, not usability studies, session analytics, or user feedback collection. Organizations looking for qualitative UX research, heatmaps, or moderated testing will need separate tools. This makes it less suitable as a standalone testing platform for front-end experience validation.
Recording quality depends on traffic
Test generation quality depends on the representativeness and completeness of captured traffic. If traffic lacks edge cases, error paths, or rare workflows, the resulting test suite may miss important scenarios. Teams may still need to supplement with manually designed tests for critical paths and boundary conditions.
Operational complexity in distributed systems
Capturing and replaying traffic in microservice environments can introduce setup and maintenance overhead, especially with authentication, dynamic data, and environment-specific dependencies. Replays may require data seeding or stubbing to remain deterministic across runs. This can increase effort compared with simpler unit-test-only strategies.
Plan & Pricing
| Plan | Price | Key features & notes |
|---|---|---|
| Playground | Free forever | Generate 30 test suites/month; Run up to 100 tests/month; 5 AI credits (bug detection + self-healing); Automated CI/CD integration; Schema coverage & insights dashboard; Community support; Start for free (no payment required). |
| Pro | $19 per user/month (+ additional usage) | All Playground features; $19 included usage credit; Advanced spend management; Team collaboration + free viewer seats; Faster generation (no queues); Contract testing & load testing; Email & chat support; Monthly allocation: 100 test suites/mo, 400 test runs/mo, 20 AI credits; Overage: test generation $0.16 / test generation, test execution $0.22 / test execution. |
| Enterprise | Custom pricing | All Pro features plus guest & team access controls, SCIM & directory sync, SOC2/GDPR/HIPAA/ISO readiness, Record–Replay in Kubernetes & staging/prod capture, 99.99% SLA & priority incident response, dedicated engineer + advanced support; Contact sales / get a demo for pricing and deployment options. |
