Speedscale Named in Gartner® Market Guide for API Testing
In the highly dynamic environment of modern engineering, an appropriate strategy for API quality is more important than ever. We are pleased to announce that Speedscale has been named in the latest “Market Guide for API and MCP Testing Tools” report from Gartner.
As software development is shifting towards complex distributed architectures, integrating Model Context Protocol (MCP) for AI-based workflows, the need for realistic testing has never been higher.
Speedscale Named in the Gartner Market Guide
Speedscale has been named a Representative Vendor in the Gartner Market Guide for API and MCP Testing Tools. The “Market Guide for API and MCP Testing Tools” is a part of the series of Market Guides that “provide a high-level view of a market’s direction and the vendors operating within it.”
Gartner Objectivity Disclaimer: Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose. Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact.
Why Traffic Replay is the Future of Testing
The traditional testing methods of creating test scripts and simulating test data are often unrealistic, considering that “chaos” is an essential part of production. Speedscale’s Traffic Replay technology brings “production reality” into your development environment without security risks.
How It Works: The Speedscale Technology
Speedscale works by capturing, sanitizing, and replaying real-world traffic to guarantee your services are prepared to handle the real-world patterns your services will actually experience in production.
- Capture: Speedscale employs lightweight sidecars or agents running inside your Kubernetes clusters to record real-world API calls.
- Sanitize: Speedscale automatically removes PII and other sensitive information to guarantee your test data is compliant.
- Simulate: Speedscale is a “smart mock” that simulates downstream dependencies to permit you to test your service in isolation.
- Validate: Speedscale validates your results against the original production “gold standard.”
Modern Testing for the AI Era (MCP)
With the advent of the Model Context Protocol (MCP), AI agents are calling your APIs autonomously. Speedscale gives you the context you require to permit these agents to function correctly. With Speedscale, you can replay these conversations to guarantee your AI-authored code still complies with its API contracts before it reaches a customer.
Ready to Close the Validation Gap?
While it is great to know your application passes a synthetic unit test, it is another to know it will handle real-world production traffic. We think you’ll get a better sense of the value of Traffic Replay by seeing it in action with your own applications.
Learn more about Speedscale’s Traffic Replay
Be sure to check out the full Gartner Market Guide for API and MCP Testing Tools to explore the full vendor field and market direction.