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Enrich Socialgist Disqus with Datastreamer Ingredient Detection Classifier
Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
About Socialgist Disqus
A live firehose feed of Disqus news comments provided by Socialgist.
About Datastreamer Ingredient Detection Classifier
Detect and classify ingredients used in products, including the fabrics, minerals and materials, 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 Socialgist Disqus with Datastreamer Ingredient Detection Classifier with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Socialgist Disqus
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.
Step 2
Add Datastreamer Ingredient Detection Classifier to enrich
Datastreamer lets you accelerate your data usage by applying operations like structuring, enriching, joining, and filtering—choose from hundreds of prebuilt, plug-and-play options.
Step 3
That's it! You have just connected Socialgist Disqus and Datastreamer Ingredient Detection Classifier
Supercharge your data workflows with Datastreamer. Add flexibility to your Pipelines and put an end to the common bottlenecks in handling web data.