XSifter is an X-compliant Enterprise application to license specific historical X/Twitter datasets or collect data in realtime that will be stored and analyzed on the DiscoverText research platform. Whether it's a few thousand Tweets once, or a million Tweets a month, XSifter enables you to retrieve the exact information required for your research. 

This is a work in progress. We anticipate recruiting beta testers in May of 2026.   Sign up below and stay tuned for updates!  For a demo, book a meeting with the founder. 

XSifter is approved to support market and academic research projects. You can learn more about prohibited use cases targeting sensitive categories. For 14 years we have refined our approach to word sense disambiguation. With XSifter, we will create an AI-enhanced workflow to generate better query language. The original SIFTER vision in 2012 was to be able to Search Information for the Exact Result. XSifter will ensure the data gathered is highly relevant with minimal waste.

Read our software reviews and user feedback, or watch some of the DiscoverText legacy explainer videos. We have supported hundreds of peer reviewed published academic studies as well as classroom exercises since 2012. The core pillars of DiscoverText are search, filtering, deduplication, clustering, crowd source human annotation, measurement of inter-rater reliability, adjudication, a patented method for ranking human annotators, machine-learning, all delivered in a graphical user interface. DiscoverText is an X-compliant application that features the X/Twitter display.