Q-Sensei's offers a multi-dimensional searching and indexing technology to help businesses find and discover new ways to leverage the increasing volumes of structured and unstructured data stored within. Q-Sensei's solution provides faceted federated search, which presents results in a dynamic and organized index sorted along multiple 'dimensions' (date, tag, source, author, language or other attributes).
The Q-Sensei FeedBooster API lets users embed the service in any web site or application, and to provide users with a more organized search experience for webfeeds and RSS data. The API uses RESTful calls and responses are formatted in JSON.
If you subscribe to a lot of RSS feeds, you may find yourself wanting to view only a subset of the content. You can organize by folder, but sometimes searching the feeds is the quickest way to get at what you seek. A new service from Q-Sensei is now bringing that feed search power to your applications via its Q-Sensei FeedBooster API.