This weekend I took my API Stack tag cloud, and made it driven by API collections defined using APIs.json and OpenAPI Spec. Instead of driving it from a simple tag JSON file, I wired it up to the APIs.json for each of my research projects, and it loops through each API that is indexed, finds their OpenAPI Spec, and uses various elements to publish as tags.
Then I wanted to scale it, and see what the tag cloud would look like when applied to a larger collection:
I'm not sure if these visualizations offer me any value, but it gets me thinking about APIs at the macro level, considering different ways to slice and dice the information available as part of any of the API's indexed. The verb tag cloud is extracted from an API I have that returns the verb count for any APIs.json collection, which gives me one possible data point to consider when quantifying how open, or closed an API is. Its not always constant, due to the wide variety of ways people design their APIs, but when you see an API that is all GET, there is good chance they are pretty tight with their resources.