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Enrich Twingly Blogs with Datastreamer Spam 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 Spam Detection Classifier
Detect and flag likely spam or fraudulent 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.
Quickly enrich Twingly Blogs with Datastreamer Spam Detection Classifier with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Twingly Blogs
Web data is an essential component of enterprise data pipelines, enabling organizations to integrate structured and unstructured data from partner APIs, legacy systems, and public web sources.
Step 2
Add Datastreamer Spam Detection Classifier to enrich
Accelerate your web data workflows with Datastreamer. Whether it's enriching, joining, filtering, or storing your data, choose from hundreds of pre-built operations ready to deploy instantly.
Step 3
That's it! You have just connected Twingly Blogs and Datastreamer Spam Detection Classifier
Using web data has never been this easy—thanks to Datastreamer. Expand your Pipelines on the fly and overcome the workflow challenges that once slowed you down.