Market Study Agent

Challenge

Producing a market study for a multifamily investment requires pulling data from dozens of sources — Census demographics, BLS employment, rent comps, and property-specific financials — then synthesizing it into a narrative that meets institutional standards. This process typically takes analysts days of manual research, formatting, and citation work per property.

Solution

Built an agent-driven platform that automates the full market study workflow: data collection, normalization, analysis, and report generation — with strict guardrails separating public and licensed data sources throughout.

• Multi-source ETL pipelines that pull, normalize, and validate public datasets (BLS, Census, FRED) into canonical schemas
• AI agent layer that synthesizes normalized data into institutional-quality narrative analysis
• Compliance-first architecture with automated citation checks, provenance logging, and data leakage validation
• Metro-configurable templates enabling rapid deployment to new markets with minimal setup

Impact

• Market study production time reduced from days of analyst work to hours
• Every metric in every report is automatically cited with source, date, and retrieval method
• Compliance validation runs on every build, catching data attribution issues before publication
• Platform scales to new metros by adding a configuration file rather than rebuilding pipelines