Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
How Datastreamer works
Quickly apply Datastreamer Abusive Language Classifier to Vetric X(Twitter) with a Datstreamer Pipeline.
Quickly connect Datastreamer Abusive Language Classifier and Vetric X(Twitter) with a Datstreamer Pipeline.
Web data is the starting point for any pipeline. You can use any number of data sources to power your Pipelines. You can use web data from our partner network, your own systems, or any web data.
To accelerate using your web data, you can apply any number of operations to the data. Enrich, augment, join, structure, filter, storage, search, or more! Datastreamer has hundreds of plug-and-play operations that you can apply.
With Datastreamer it’s never been easier to use web data. You can dynamically expand your Pipelines with more capabilities, and you’ve now been able to solve your operational bottlenecks in working with web data.
Detect abusive language in forums, chats, social, and other unstructured content in over 200+ languages. This classifier can instantly consume the content within a pipeline, optimize the content for speed and cost efficiency, and pass into LLM systems. Within the classifier, the LLM response is restructured, the post is augmented with the new metadata, and continues in the pipeline.
Collect and extract recent X(Twitter) posts and replies using keywords or advanced query. Vetric X(Twitter) API is ideal for real-time monitoring of X, including use cases like threat intelligence, brand monitoring, digital risk protection, and social listening.
Add Datastreamer components to your data stack and explore its full capabilities
