Commercial real estate data and analytics company CRED iQ announced Prism, a multifamily unit analytics product that turns publicly advertised rental listings into structured, property-level data. Prism covers more than one million deduplicated multifamily properties drawn from more than 1.5 million public listings, refreshes weekly and is delivered through a REST API, bulk data feeds and an MCP server for AI workflows.
Prism addresses a familiar problem for appraisers, lenders, investors, and developers: multifamily rent comparables still get assembled by hand, one listing site at a time. Prism does that work at national scale and returns the result as clean tables keyed to a single property ID. For each property, subscribers receive public asking rents by unit type, from studios through four-bedroom units, with minimum, maximum and midpoint values; floor plans with bedrooms, bathrooms, square footage and unit counts; availability and lease terms as published; structured amenities and ratings and HUD enrichment including year built, total units, inspection scores and subsidy flags. A source map records every listing that contributed to a record, so each rent can be traced back to where it was publicly advertised.
“Prism is a benchmarking dataset. It shows what the market is asking, unit by unit, and hands it to you as an API so your appraisal, underwriting, or market study can move at the speed of your own workflow,” said Michael Haas, chief executive officer of CRED iQ. “Prism was designed around a set of principles that our clients, prospects and our own analysts believe the multifamily industry needs.”
Prism extends CRED iQ’s existing coverage of the securitized commercial real estate market into the broader multifamily rental universe. The product is built on the same API-first architecture CRED iQ has used since 2019 to deliver loan, property, and valuation data to lenders, investors, servicers, rating agencies and researchers. It is available now in early access.
