Use cases
agent0 is designed for professional users who need structured property-data answers inside AI agents, not another listing-search homepage.
Workflows
Each use case starts with who it is for, the problem it solves, example questions, expected outputs, data types, and limitations.
For brokerages, teams, and real-estate operators.
Comparable sales, buyer education, listing research, neighbourhood comparison, and market-report support for professional real-estate teams.
For journalists, editors, newsletters, commentators, and research teams.
Turn local property data into clearer housing explainers, affordability stories, market movement summaries, and media-ready context.
For developers, AI-agent builders, SaaS teams, and proptech platforms.
MCP and integration support for teams exploring AI-native Ontario property research.
For investors, analysts, operators, and acquisition or research teams.
Rental comparables, price support, inventory movement, area comparison, and property-type analysis for professional research tasks.
Access is reviewed based on the use case, data need, user group, and output expectations.