xcircl builds structured, continuously updated datasets and derived market signals for high-intent U.S. local-service categories — and runs the public applications on top of them.
Canonical, de-duplicated provider records — name, location, category, contact, and geocode — normalized into one model across every vertical.
Category fields that generic directories miss — pet service types, GLP-1 brands and published pricing, clinic verification signals, and more.
Signals computed on top of the data — price transparency, verification status, source-linked trust signals, and market-supply density.
Market-intelligence teams, investors, and roll-up operators sizing fragmented categories and tracking supply.
Consumer apps, brands, and service platforms enriching their own databases with category-specific fields.
Research and media organizations that need source-linked figures on coverage, pricing, and verification.
Every record runs the same pipeline — so coverage compounds and the logic stays explainable.
xcircl turns fragmented local-service data into structured, continuously updated intelligence — one vertical at a time.