Decode HTTP API errors into actionable fixes in the browser

Decode HTTP API errors into actionable fixes in the browser targets a $12.0B = 25M professional developers x $480/yr average spend on developer tools and productivity total addressable market with medium saturation and a year-over-year growth rate of 12% CAGR in developer tools and observability spending.

Key trends driving demand: LLM-driven developer assistance -- Models are now capable of parsing structured error payloads and producing context-aware remediation, enabling automated decoding products.; API-first architectures -- More teams deploy APIs and microservices, increasing the volume and variety of API errors requiring fast diagnosis.; Shift-left debugging -- Teams are investing earlier in tooling that reduces time-to-resolution and lowers incident costs, favoring proactive developer-facing helpers.; Privacy & on-device inference -- Growing demand for local inference lets tools offer value without exposing sensitive request/response payloads..