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Enrich Open Measures Telegram with Datastreamer Ingredient Detection Classifier

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

About Open Measures Telegram

A specialized Telegram product focused on collecting users and channel content associated with the Russian state, Russian-affiliated propaganda, white nationalist groups, and European far-right organizations.

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.

How Datastreamer works

Quickly enrich Open Measures Telegram with Datastreamer Ingredient Detection Classifier with a Datstreamer Pipeline.

Step 1

Start your Pipeline with Open Measures Telegram

Web data plays a central role in enterprise data integration, serving as a primary input across pipelines. It can be sourced from partner networks, internal systems, or the open web to support scalable data workflows.

Step 2

Add Datastreamer Ingredient Detection Classifier to enrich

Supercharge your data pipeline! Apply operations like enrichment, structuring, joining, and filtering—Datastreamer gives you instant access to hundreds of plug-and-play data tools.

Step 3

That's it! You have just connected  Open Measures Telegram and Datastreamer Ingredient Detection Classifier

Say goodbye to bottlenecks. Datastreamer lets you unlock the full power of web data by giving you the tools to dynamically grow your Pipelines.

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!