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We’re always happy with any other questions you might have. Send us an email at [email protected]

Enrich Twingly Blogs with Datastreamer Event Detection Classifier

Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.

About Twingly Blogs

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

About Datastreamer Event Detection Classifier

Detect and classify event being described by the author. 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.

How Datastreamer works

Quickly enrich Twingly Blogs with Datastreamer Event Detection Classifier with a Datstreamer Pipeline.

Step 1

Start your Pipeline with Twingly Blogs

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.

Step 2

Add Datastreamer Event Detection Classifier to enrich

Want to do more with your web data? Datastreamer offers hundreds of ready-to-use operations—filter, join, enrich, search, and more—to help you process and transform data at speed.

Step 3

That's it! You have just connected  Twingly Blogs and Datastreamer Event Detection Classifier

With Datastreamer, web data integration is effortless. Add new capabilities to your Pipelines dynamically and solve the operational issues that used to complicate your process.

Experience Seamless Data Integration Yourself

Add Datastreamer components to your data stack and explore its full capabilities

Try it Now

Questions?

We’re always happy with any other questions you might have. Send us an email at [email protected]

We look forward to connecting with you.

Let us know if you're an existing customer or a new user, so we can help you get started!