← All trades  /  Appraisal firms
BUILT FOR FEE APPRAISERS & VALUATION FIRMS

When the subject sits forty percent
off its neighbours.

The number is your job. The context around the number — what the neighbours carry, how the district treated similar improvements, whether the flood line explains the gap — is the part that takes hours. That part is now a filter and a sort.

7 days free · no card · Pro is $25/mo founding
HOW YOU'D ACTUALLY USE IT

Four steps, start to finish.

STEP 1 · FRAME

Establish the neighbourhood

Median $/sqft and $/acre for the ZIP and property class, so your subject has a stated frame rather than an assumed one.

Land value stats
STEP 2 · COMPARE

Pull the peer set

Parcels of the same class, size band and area, sortable by $/sqft, value, acreage or year built. The district's own view of the peer group.

Filters + sorts
STEP 3 · EXPLAIN

Account for the gap

Improvement age and size, exemption effects, flood zone, year-over-year movement. The reasons a subject sits off its neighbours, laid out.

Dossier + flood overlay
STEP 4 · DOCUMENT

Export the support

The filtered peer set to CSV, so the context behind your reconciliation is on paper rather than in your head.

CSV export
WHAT IT LOOKS LIKE

A few questions, one sitting.

Building the context around a subject.

tex> median assessed $/sqft for single family in this ZIP, built 1995 to 2005
→ class and year filters applied · median and distribution returned
tex> show me the ones more than 30% off that median
→ outliers lit on the map · ranked by distance from median
tex> how many of those sit in a flood zone?
→ FEMA zones joined · the flood line explains a good share of the spread
Which is usually the finding — outliers cluster for a reason, and the reason is often visible once you overlay it.
SIGNAL INTELLIGENCE

How the sources get joined.

Two joins produce the context around an opinion of value. No single record below means much on its own — the signal is the join, and every ingredient stays inspectable so you can check the working.

Value anomaly
APPRAISAL$/sqft vs median+APPRAISALimprovement detail+APPRAISALyr/yr jump+FILINGSflood zone

A protest argument or a mispriced buy — depending on your side of the table.

All 13; value history runs in four.

Exemption gap
APPRAISALno homestead on file+APPRAISALowner-occupied+APPRAISALover-65 / DV missing

Money left on the table — often an easier win than the value fight.

All 13 counties.

WHAT YOU'RE ACTUALLY BUYING

The parts that matter to you.

ZIP MEDIANS

$/sqft and $/acre

Median assessed values by ZIP and property class, with distribution — the frame your subject sits inside.

PEER SETS

Same class, same block

Filter by class, size band, year built, acreage and area, then sort by whichever measure your assignment turns on.

IMPROVEMENT DETAIL

What the district recorded

Building square footage, year built, $/sqft and value split between land and improvement, straight from the roll.

EXEMPTION EFFECTS

Why assessed ≠ market

Homestead caps, over-65 freezes, agricultural valuations and disabled-veteran exemptions — the reasons an assessed figure diverges.

FLOOD OVERLAY

The explanation that's usually right

Official FEMA zones over every parcel plus a flood filter. When a subject sits well off its neighbours, this is often why.

YEAR-OVER-YEAR

Which direction, how fast

Value history and change, so you can show whether the area is moving and at what rate.

Where our coverage stops This is assessed-value data from county appraisal rolls — it is not sold-comp data. Texas is a non-disclosure state and nobody publishes transaction prices, us included, so this supports market context and mass-appraisal reasoning rather than replacing your sales comparison approach. Value history currently runs in four counties and protest history is missing in three; the map states which per county rather than smoothing it into a headline.
FREE · NO ACCOUNT NEEDED

From The Brief

Free intel briefs on Texas land — transmission corridors, realtor farming data, and the critical-minerals land rush. We publish what we find while building the maps — every post cites its sources and every number comes from a query we actually ran.

Not ready for a trial?

Read The Brief instead. It's free, there's no account, and it's the honest way to see whether this data is any use to you before you pay for it.

Read The Brief →

The plan we'd put you on.

Fee appraisal is mostly one-desk work. Pro is a single seat with everything open; Team suits multi-appraiser shops.

FOUNDING PRICE · RECOMMENDED FOR YOUR TRADE
Pro
$25/mo
$50/mo after founding closes · or $250/yr — two months free
  • 1 seat
  • All four maps, full dossiers, every filter
  • Tex AI analyst — standard cap
  • 5 monitors with change briefs
  • 1,000 CSV records per month
  • Farm Reports: 2 ZIPs monthly · every ZIP on annual
Start your 7-day free trial

Already sure? Subscribe now — $25/mo founding →  ·  annual saves two months

Working as a team? Team is $150/mo founding ($300 regular) with 5 seats and unlimited monitors.

Test it on your own ground.

Seven days, full access, no card. Run it against the ZIPs, counties or addresses you actually work and see whether it's worth what we say it is.

Or just read The Brief — free, no account.
By requesting access you agree to our Terms of Service and Privacy Policy.