The range25 / 50 / 75We use the middle of the comp set, so one mispriced listing can't blow out the range.
When we won't estimate< 4 compsWith fewer than four active comparable listings, we hide the range instead of pretending.
Two answersValue + RentSeparate ranges for what it's worth and what it would rent for — two different questions.
The problem3 reasons most automated valuations feel useless
01 · Black boxYou can't see which sales drove the estimate.
Most automated valuations hand you a single number. No comparable sales, no math, no way to push back when the answer doesn't match what you're seeing on the street.
02 · Confident on thin airA narrow range hides a small sample.
When only two recent sales exist nearby, a confident-looking range is the worst possible answer — it's a guess in a suit.
03 · Sale and rent mixed upValue and rent are different distributions.
Sale prices and rental rates follow different patterns. Lumping them together blurs the two questions an investor actually needs answered: what's it worth, and what would it rent for?
How Domora does itOpen method · 5 steps
- Step 1
Pull active comparable listings nearby.
We start with the addresses we already track in this market and narrow to active listings with the details we need.
- Step 2
Use a percentile range, not min and max.
For each comp we compute price per square foot. The 25th, 50th, and 75th percentile become the range — so one mispriced listing can't widen it.
- Step 3
Anchor the range to this house's size.
We multiply those per-square-foot percentiles by the property's actual square footage. The estimate reflects this house, not the average house in the comp set.
- Step 4
Hide the range when we have fewer than four comps.
Below four comparable listings we hide the number instead of guessing. Better to say 'we don't have enough' than fake confidence from a tiny sample.
- Step 5
Show the comps that drove it.
The actual listings that built the range sit right below — address, $/sqft, beds and baths, how similar each one is. Every estimate links back to the evidence.
Why this mattersReal estate is local and the data is rarely complete. An estimate built from a visible set of comparable listings falls apart gracefully — when we're missing data, we say so. When the data is rich, you get a range you can defend to a partner, a lender, or yourself.
What you’ll see in productSample · Houston, TX
Live-style example of the Comps + AVM panel.
Estimated valueEstimated
$372,000 – $415,000
Midpoint $389,000
Median comparable list price: $214/sqft × 1,820 sqft
Estimated monthly rentEstimated
$2,380 – $2,720
Midpoint $2,550
Based on 4 comparable rent estimates
Comparable properties
4 comps · the evidence behind the estimateSample comparable properties used to derive the estimated value and rent ranges, with price per square foot, bedrooms, bathrooms, living area, and similarity to the subject property.| Address | $/sqft | Bed / Bath | Sqft | Similarity |
|---|
| 4019 Almeda Rd Houston, TX 77004 | $211 | 3 / 2 | 1,840 | 94% |
| 3742 Wichita St Houston, TX 77004 | $215 | 3 / 2.5 | 1,905 | 91% |
| 4310 Charleston St Houston, TX 77004 | $213 | 3 / 2 | 1,750 | 88% |
| 3915 Burlington St Houston, TX 77004 | $215 | 4 / 2 | 1,980 | 84% |
Estimated ranges are model outputs derived from the comparable set above (25th–75th percentile band). They are not appraisals. This sample is for illustration; live property pages render this section against real active comparable listings on the market now in the subject market.
- Value rangeOur estimate of what the home is worth, built from the middle of active comparable listings (25th–75th percentile of $/sqft) and scaled to this property's size.
- Rent rangeA separate estimate of what it would rent for, built from comparable monthly rents. Rent is a whole-unit number, so we don't re-scale by size.
- The compsThe actual listings that fed the estimate — each one is a link to its own property page so you can verify.
- When we won't estimateIf we have fewer than four comparable listings, we hide the range and tell you what's missing. Better to say 'we don't have enough' than guess from a tiny sample.
The comps panel sits on every property page. Pick a property in Search, or paste a listing URL straight into the address bar and we'll pull the comps for you.