sentisift-mcp

SentiSift is a moderation service for online comment sections. It is described as protecting discussion by removing noise such as bots, spam, and toxic venting, while revealing what the crowd is saying and adding informed perspectives when conversations become one-sided. The service is presented as operating in real time and in any language.

Its moderation model evaluates each comment across five independent scoring axes. The named axes are sentiment, eloquence, length, behavioral patterns, and commercial intent. Sentiment is classified by an ensemble of specialized AI models on a five-tier scale from toxic to saccharine, and the system is described as emoji-aware. Eloquence scores vocabulary diversity, sentence structure, capitalization patterns, and emoji density. Length flags unusually short or unusually long comments. Behavioral analysis looks for repetitive posting, coordinated timing, copy-paste clusters, and username anomalies. Commercial detection identifies promotional content through keyword density, calls to action, URL patterns, price mentions, and superlative stacking.

SentiSift produces three outputs for each comment: a visible five-tier sentiment label, a bot/spam flag that blocks automated noise at the source, and a commercial flag that catches disguised ads. The page also says the labels are visible to readers and serve as a trust signal, and that moderation teams can focus on editorial decisions rather than discovery. It also states that bot/spam detection is independent of sentiment, so strongly expressed genuine comments are not silenced simply for being forceful.

The service is described as agent-friendly and as something that can integrate in minutes. A live moderation figure of 1,320 per minute is shown on the page.