The document describes the Tripscore Linked Data client, which calculates summaries over large public transportation time series data stored using the Linked Connections framework. It addresses the problem of expensive analytical queries over long periods of public transport data. The client moves processing to the client side by requesting summarized data from the server in order to improve performance. Next steps include transforming additional real-world public transport datasets into the Linked Connections format and improving metadata for discoverability.