This dataset delivers real-time, continuously updated information on physical places and local businesses, combining existence validation, operational status, and rich contextual signals from web and social sources. It includes location coordinates, current open/closed status, attribute enrichment such as hours and features, and resolved identity information to reduce matching errors. Built for AI apps, agents, and analytics, it supports mapping and geographic visualization, proximity and site selection analysis, and entity resolution workflows. The dataset is optimized to detect rebrands, closures, and attribute drift so applications can rely on accurate, fresh place intelligence.

Key attributes include:

• Real-time existence and status verification for physical locations

• Geolocation data enabling mapping, proximity, and regional analysis

• Continuous enrichment of business attributes like hours and features

• Web and social signals providing current context and changes

• Entity resolution and record matching to reconcile inconsistent sources

Value Summary:
Location intelligence teams, AI developers, and analytics teams benefit by reducing stale or incorrect place data and improving reliability for search, recommendations, and real-world agent actions. The dataset helps solve problems of outdated locations, shallow attributes, and poor record matching.