ChatterQuant

Every tracked ticker carries a set of counts and scores: mentions from regular users, low quality accounts, authorized bots, and malicious bots, each with its own sentiment value. That split is the core of the product. A raw mention spike means little on its own, but a spike driven by malicious bot accounts reads very differently from one driven by ordinary users, and the data lets you tell them apart.

ChatterQuant classifies accounts and looks for coordinated behavior, including pump attempts and short-squeeze campaigns organized among retail traders. For a desk holding a position in a heavily discussed name, that's an early warning that the conversation is being steered. The site lists Twitter malicious and authorized bot activity tracking as part of the standard dashboard.

The dashboard is built around a portfolio you define, with feeds and metrics scoped to those holdings rather than to a keyword list. Analysts can generate a view for a specific book and check sentiment, mention volume, and narrative changes across it. The stated purpose is alpha generation, risk management, and faster due diligence, and the layout follows that order.

Custom feeds filter the firehose down to accounts and threads that matter for your coverage. Instead of reading a timeline, you get a stream tied to the assets you follow, with the account quality labels attached. Reddit coverage includes investing communities where retail coordination tends to start.

A trends view surfaces the market moving topics of the day and shows how narratives around individual names and the wider market shift. That's useful when a stock moves without an obvious catalyst and you need to know which story traders are telling each other.

Trending SEC filings sit alongside the social data, so a filing that starts drawing discussion shows up in the same place as the chatter about it. It shortens the loop between a document landing and the market reacting to it.

Real time data products are available through REST endpoints, with read access to datasets and private read and write access to your account. A websocket API is listed as coming soon, which matters if you need streaming rather than polling. Embeds let a partner surface the data inside an existing interface.