Find the data you need by what you're trying to do
Lenders, banks, and insurers use property-level rent data to underwrite loans and policies against what a property actually earns.
Owners, operators, and tech platforms use unit-level rent comps, leasing velocity, and rental inventory to feed pricing engines, set renewal rents, and optimize portfolio yield.
Hedge funds and institutional investors use direct-sourced, historical rent data to forecast inflation, housing trends, and REIT performance.
Investors and asset managers use unit-level and longitudinal data to underwrite specific properties, portfolios, and investment theses.
Owners, investors, and asset managers benchmark managed or owned portfolios against real market comps, at the same granularity across every asset.
Government agencies and researchers use clean, historical and timely rental data to study affordability, inform housing policy, and support planning decisions.
AI product teams use structured, compliant rent data delivered via API or MCP to train and ground models without scraped or unlicensed data risk.
Lending teams use property-level rent data to verify income assumptions and support loan-level analysis beyond initial underwriting.
Appraisers and valuation firms use owner-disclosed rent comps to support the income approach with data that holds up to review.
Operators and investors use market-level rent data to evaluate where to buy, build, or expand next.
Talk to our team and we’ll match you to the right data.
Whichever use case brought you here, the underlying data is the same: first-party, unit-level, direct-sourced rent data with no scraping and no survey noise. Know more about the delivery method and scope that fit your specific use case.
No. Every use case draws from the same underlying dataset — first-party, unit-level rent data sourced directly from property management systems. What changes is the delivery method (API, CSV, JSON, TSV or Parquet, S3) and how the data is shaped for the specific workflow.
Each use case page links to the specific Dwellsy IQ products that best fit that workflow — Total IQ, Trends IQ, API IQ, Comp IQ or MCP IQ. The Products Overview page also has a full product selector if you want to compare directly.
The use cases listed here are the most common patterns we see across lenders, operators, investors, researchers, and government buyers. We’ve also seen rental data applied in less traditional ways, including marketing analytics, market segmentation, and other custom research workflows. If your use case isn’t listed, talk to our team — the underlying data is flexible to support most rental-data-driven workflows.
Data is captured directly from property management systems and updated continuously. Update frequency for a specific use case depends on the contract.
Yes. Contact us about a scoped demo or trial matched to the use case and geography most relevant to you.