Benchmark every asset against a comparison set built from 17M+ listings and 25,000+ property managers, not a handful of manually-pulled comps.
Unit-level • Never scraped • Built for portfolio-scale comparison
Every property in a portfolio gets benchmarked against the same underlying, unit-level dataset — no blending scraped comps for one market with survey data for another.
The URU (Unique Rental Unit Identifier) follows specific units across time, so a portfolio’s performance against the market can be tracked longitudinally, not just as a single snapshot.
Whether benchmarking a handful of assets or a national portfolio, delivery via API or bulk feed keeps the comp set current as the portfolio grows.
Dwellsy IQ’s data comes from Dwellsy, the largest free rental listing marketplace, connected directly to 30+ PMS — where rents, availability, and concessions are actually set.
Unlike other rental data providers, our marketplace is free for renters and property managers. We do not make money from renter leads — we make money by delivering accurate data.
Changes in asking rent appear as property managers update their inventory, giving portfolio teams a current view of market direction.
Coverage begins in January 2020, spanning pandemic-era disruption, rapid rent growth, and the subsequent market normalisation.
Total IQ provides final asking rents for individual units alongside 50+ attributes and 250+ tracked amenities.
The URU (Unique Rental Unit Identifier) follows the same units over time, so benchmarking isn’t a one-time snapshot, it’s a running comparison as both your portfolio and the market move.
Benchmark every managed or owned unit against real market comps at once, instead of spot-checking a handful of properties and assuming the rest follow.
Flag specific properties renting below market so pricing or operational attention can go where it’s actually needed.
Back up portfolio performance claims with unit-level comps that hold up when an owner or LP asks how the number was calculated.
Compare an acquired portfolio’s actual rent performance against market comps on an ongoing basis, not just at the point of purchase.
Benchmark multiple portfolios or funds against the same underlying dataset, so performance comparisons between assets are consistent, not skewed by different data sources.
Use the URU to track how a portfolio’s performance against the market has trended over time, not just where it stands today.
License the same unit-level comp set powering Dwellsy IQ to build portfolio benchmarking or performance-reporting tools for your own customers.
Every portfolio your platform benchmarks runs against the same underlying dataset, so performance comparisons hold up whether a customer has five units or five thousand.
Give your customers performance tracking over time, not just a snapshot, using the same permanent unit-level ID that powers Dwellsy IQ’s own benchmarking.
Dwellsy is one of the most accurate and reliable data comps tools we've used. As an investor, having clean, factual, and real-time comps is a game-changer. It helps us more efficiently and effectively do our work, and we love the product.

Download our data dictionary and a sample dataset to see exactly what fields, coverage, and granularity you’d be working with.
Talk to our team about a data pull scoped to your portfolio’s geography and asset class.
Yes. Every asset is measured against the same unit-level dataset regardless of geography, so comparisons across markets stay consistent.
Scraped comps carry duplication and legal exposure, and survey data is aggregated and lagged. Dwellsy IQ comps are sourced directly from property management systems, so the benchmark reflects what units are actually renting for, not an estimate.
Yes. The URU (Unique Rental Unit Identifier) follows specific units across time, so benchmarking isn’t limited to a single snapshot.
Yes, both asset classes are covered in the same underlying dataset and can be benchmarked together or scoped separately.
Yes. Data can be scoped to a specific portfolio’s geography and asset class rather than delivered as a broad, unfiltered feed.
Data is captured directly from property management systems and updated continuously, not on a survey cycle, so a benchmark reflects current market conditions.
No. All data is public, owner-disclosed listing information at the unit level. No PII, no private renter data.