Speedscale

Speedscale captures real production traffic and replays it against code changes to detect regressions without requiring manually written test assertions. The core problem it solves is that traditional testing relies on assertions that must be written and maintained, while production traffic already contains the expected behavior. By recording actual requests, responses, and protocol interactions, Speedscale lets teams compare new builds against what production returned, surfacing both functional and performance regressions automatically.

The product offers a free CLI tool called proxymock that records traffic locally, turns downstream dependencies into protocol-aware mocks, and replays recordings against a new build. It supports HTTP, gRPC, Postgres, MySQL, and Redis at the protocol level. Key capabilities include traffic recording and replay, service virtualization, load testing with production-shaped patterns, API observability, and AI code verification through Model Context Protocol (MCP) integration with tools like Claude Code, Cursor, and GitHub Copilot. It integrates with CI/CD pipelines, Kubernetes, Docker, monitoring tools like Datadog and New Relic, and development tools like Postman and OpenAPI.

Speedscale is designed for development teams, platform engineers, and organizations using AI coding agents who need an independent verification layer based on real traffic. The free proxymock tier offers unlimited local mocking and basic recording with community support. Pro adds cloud collaboration, advanced replay features, CI/CD integration, and priority email support. Enterprise provides custom deployment options, dedicated support, SSO, customer-managed encryption, SLAs, and a bring-your-own-cloud option for regulated environments.