The blog post provides a comprehensive guide to accessing and using the NBA API through RapidAPI to create a Python-based application that visualizes NBA team standings with a Seaborn-generated chart. It details the process of signing up for a RapidAPI account, navigating to the NBA API console, and subscribing to the service, which is free for up to 1,000 requests per day. The post then walks readers through utilizing various API endpoints to fetch data on seasons, teams, players, and game statistics, emphasizing the use of the "/standings/" endpoint to retrieve team rankings. By outlining the necessary Python libraries like Seaborn, Unirest, and Pandas, it instructs on coding the app to display comparative standings. The post also highlights the potential for extending the app to include more detailed analytics on player and team performance, while noting that, at the time of writing, the API provides data for the 2018 and 2019 NBA seasons.