  It is well recognized that design patterns improve system development and
maintenance in many aspects. While we commonly recognize these patterns in
monolithic systems, many patterns emerged for cloud computing, specifically
microservices. Unfortunately, while various patterns have been proposed,
available quality assessment tools often do not recognize many. This article
performs a grey literature review to find and catalog available tools to detect
microservice API patterns (MAP). It reasons about mechanisms that can be used
to detect these patterns. Furthermore, the results indicate gaps and
opportunities for improvements for quality assessment tools. Finally, the
reader is provided with a route map to detection techniques that can be used to
mine MAPs.
