Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
Detect the company names within content, correlate it to its market-listed entities. It returns both the company name, stock tickers, and the related market 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.
Twingly indexes 1 million blog posts per day, from all over the world, and make them available. Twingly adds 4,000 new active blogs every day, and if that is not enough, you can easily add more yourself, and we will cover them for you
How Datastreamer works
Quickly apply Datastreamer Stock Ticker Conversion to Twingly Blogs with a Datstreamer Pipeline.
Enterprise-grade data pipelines begin with flexible data ingestion. Web data—sourced from partners, internal platforms, or the open internet—provides the raw inputs needed for integration and transformation.
Boost your web data capabilities by applying a wide range of operations—enrich, augment, join, structure, filter, store, search, and more. With Datastreamer, you get access to hundreds of plug-and-play tools to power your workflows.
Datastreamer makes working with web data simpler than ever. Easily enhance your Pipelines with new features and finally eliminate the operational roadblocks that once held you back.
Add Datastreamer components to your data stack and explore its full capabilities
