Case Study: CollX reduces phishing attempts and harmful content by 90% with Stream Auto Moderation

A Stream Case Study

Preview of the CollX Case Study

Auto Moderation Reduces In-App Phishing Attempts & Harmful Content by 90% for Sports Card Marketplace

CollX, a sports card marketplace, used Stream’s Chat API to build in-app messaging for collectors and hobbyists. As its community grew, CollX faced increasing phishing attempts, spam, harassment, and harmful content, and its existing blocklist-based moderation approach could not effectively understand context or stop bad actors at scale.

To address this, CollX implemented Stream’s Auto Moderation solution alongside its existing moderation workflow. Stream’s AI-powered tools helped detect platform circumvention, semantic abuse, commercial spam, and harmful behavior in real time, reducing phishing attempts and harmful content by 90% and saving the team hours of manual review.


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CollX

Alexander Liriano

Director of Operations


Stream

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