Agentic intelligence · Real estate
No black box. The Domora score is a weighted average of six things we look at on every property — and you can click any one of them to see the data we pulled and the math behind it. When we don't have enough data, we don't guess — we tell you the score isn't ready yet.
Most property scores hand you one digit. No way to see what fed it, no way to argue back when the number doesn't match what you're seeing.
If a model's hunch about building condition weighs the same as a county tax record, the headline number starts treating noise like truth.
Most scoring engines don't tell you when they're working with half the picture. A confident number from a thin slice of data feels just as confident as the real thing.
How much rent this property could generate each month, relative to its purchase price. We use our rent estimate vs. our value estimate.
Higher yield lifts the score. A weak yield pulls it down.
How likely the inspection is to surface expensive surprises — roof, HVAC, plumbing, foundation, electrical near end-of-life.
A clean building lifts the score. Aging systems pull it down.
Whether the work done on this property matches what's on file with the city — unpermitted additions, missing finals, open permits.
A clean record is neutral-positive. Gaps and open permits pull the score down.
How hard or expensive it will be to insure this property — flood zone, wildfire, wind/hail, and whether insurance carriers are pulling out of this market.
Easy-to-insure markets nudge up. Hard markets and high-risk zones pull down.
Signals that the current owner may be motivated to sell — tax delinquency, recorded liens, and other public-record signs of financial pressure.
A clean record is the neutral baseline. Delinquencies and liens drag the score.
How the surrounding block is trending — vacancy, 311 complaints, code violations, and the recent rhythm of small-business activity.
Active blocks with clean records lift the score. Code-violation clusters pull it down.
Real estate is local and the data is rarely complete. A score built from six named pieces with weights you can see falls apart gracefully — when we're missing data, we say so instead of guessing. When we have the full picture, you get a breakdown you can take into a conversation with a partner, a lender, or yourself.
Weighted average of the 5 pieces below. We have data on 5 of 6— owner financial pressure is missing here (clean record, nothing to flag). If we had fewer than three pieces, we'd hide the score instead of guessing.
| Component | Signal value | Norm. 0–100 | Weight | Contribution |
|---|---|---|---|---|
| Rent yield Estimated rent vs. estimated value — strong yield against nearby comps. | 8.4% gross | 84 | 27% | +9.2 pts |
| Building condition risk Lower raw score is better. Some age-related risk on the roof and HVAC. | 32 / 100 | 68 | 20% | +3.6 pts |
| Permit issues Lower raw score is better. Listing matches the city permit record — no obvious unpermitted work. | 22 / 100 | 78 | 15% | +4.2 pts |
| Insurance cost risk Lower raw score is better. Houston wind exposure offset by a moderate flood discount. | 5 / 10 | 56 | 15% | +0.9 pts |
| Neighborhood signals Lower raw score is better. Some city-service calls and code-violation activity, offset by a vibrant block. | 38 / 100 | 62 | 10% | +1.2 pts |
Contribution is the signed nudge each component applied vs. a neutral 50 / 100 baseline, scaled by weight — a directional cue, not the whole story. The headline is the weighted average of the normalized scores over the components we have data on (each score times its weight, divided by the weights that are present). This sample is for illustration; live property pages render this section against real signals.
If we have fewer than three of the six pieces, we hide the big number and tell you what's missing. Better to say “come back later” than fake a confident answer from half the picture.
Good rent yield, clean inspection profile, permits in order, no signs of owner pressure. Worth running the numbers and pulling a full report.
Mixed signals — one or two pieces are dragging the average. Click into the breakdown to see which, then decide if those trade-offs are your kind of risk.
Several pieces are dragging the score. Deal can still work, but budget extra time and money for repairs, insurance, or permit clean-up before you bid.
Multiple red flags. Possible, but the inspection risk, insurance cost, or owner situation is loud enough that you should walk in ready to negotiate hard or walk away.
These bands are a starting point, not financial advice. A high score isn't a green light and a low score isn't a no — both are jumping-off points for the digging the breakdown points you toward.
The Domora score sits at the top of every property page, with the same breakdown you saw above. Read the comps method next to see how we build the value and rent estimates from the same data.