Analyze real-time clickstream traffic from Bitly, the world’s most popular link-sharing platform.
Blog data from a wide variety of sites, large and small.
Data from many different message boards around the world.
Video data from DailyMotion.com.
Comment and vote activity for the world’s largest commenting platform.
Filter from a stream of anonymised status updates to research trending topics, content and hashtags.
Forum messages and other content from the Internet Movie Database
Commenting platform for blogs and web sites
Lexis Nexis direct news feed
News articles, images, and videos
Data from the link voting site, reddit.com.
China's top microblogging service
Data from the Topix.com community news editing platform.
Filter from the firehose of updates from one of the world’s fastest growing social networks.
Twitter is an information network made up of 140-character messages called Tweets.
Video data from various sites (excluding YouTube and DailyMotion).
Real-time monitoring of Wikipedia edits
WordPress blogs, comments and likes
Video data from YouTube.
Applied to all interactions to determine the author's likely gender.
A normalized description of common features and classification of all our data feeds
The industry standard for measuring an author's online influence in the social media communities.
A custom DataSift augmentation to determine the language in which a post is written.
Detailed information and statistics derived from content links.
A fixed allocation of detailed information and statistics derived from content links.
A list of the entities Salience finds in each post.
A list of the topics Salience finds in each post.
A measure of the positive or negative sentiment in the content or title of each post.
Trending topics in Twitter. Include current, daily, weekly, and location-based trends in your streams.