qAPI Mentioned in the Gartner Market Guide for API and MCP Testing Tools
The Market Guide by Gartner highlights a critical gap: API testing remains underutilized. While 54% of engineering leaders consider API design and development highly important, only 45% place the same level of importance on QA and testing. Because no matter how well an API is designed, quality depends on how thoroughly it is tested.
Gartner highlights the growing importance of testing platforms that leverage AI to reduce the skills barrier in automated API and MCP testing. qAPI continues to rank among the leading API and MCP testing platforms, helping teams simplify testing and close the industry’s growing skill gap.
With AI-driven assistance and streamlined test creation, qAPI is helping teams of all experience levels to increase coverage, accelerate execution, and test with greater confidence.
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Silos and Skills Gaps Are the Biggest Barriers to Quality
AI is Reshaping Core QA Competencies
Rapid Tech Evolution Stifle Skills Growth
They talk about it better than us
qAPI simplified our API testing with its ability to test individual API's and API Chaining for functional and performance testing. qAPI's AI integration capability allows recording of API's with API Discovery extension and generation of API assertions which is of great help and improved our time to market. Definitely recommend to try it.
Venkata Satya Prasad Sajja
Principle Architect
The qAPI service stands out for its exceptional ease of use, reporting, and comprehensive testing capabilities. With its embedded AI features, instead of writing complex test scripts from scratch, qAPI generated tests based on the API specifications and endpoints, making it incredibly easy for our technical and non-technical users to get started with automated testing.
Nicholas Rios
Test Architect
As a small startup, finding an affordable API testing solution was crucial for us. qAPI not only fits our budget but also offers a robust cloud-based platform that scales with our needs. We can now perform extensive testing without the overhead costs associated with traditional solutions.
Peter K
Software Developer