Data Coverage

Houndix aggregates and enriches real estate data from institutional-grade sources to deliver street-level intelligence across the US market.

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Assets indexed
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Cities covered
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Zones tracked
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Opportunities detected
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Primary Data Source

All property data is sourced from the RentCast API, providing access to MLS listings, automated valuation models (AVM), rental estimates, and market analytics.

  • checkMLS listings updated in near real-time
  • checkAutomated Valuation Models (AVM)
  • checkRental estimates and comparable properties
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50+ US Territories
Active US markets monitored
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Targeted Zip Codes
High-opportunity zip codes
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Properties in the database

Property Types

We track six primary property categories across all covered markets:

Properties
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Property Types
apartment
Apartment
house
House
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Townhouse
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Multi-Family
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Condo
terrain
Land
Microzone map
Microzone Intelligence
Street-level precision
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Microzone Intelligence

Rather than relying on broad city-level averages, our system segments markets into micro-economies at the street level, comparing properties against hyper-local benchmarks for more accurate valuation.

  • checkStreet-level market segmentation
  • checkHyper-local pricing benchmarks
  • checkReal comparable properties, not city averages

Data Enrichment

Properties that meet our initial screening criteria are enriched via the RentCast AVM engine, providing:

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Estimated property value with low-high confidence range

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Estimated monthly rent with low-high confidence range

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Comparable properties count used for estimate accuracy

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Metrics Explained

Every property is analyzed through six independent statistical lenses. Here's exactly what each metric measures and how to read the color signals.

8.2
≥ 8 — Strong deviation detected
≥ 6 — Moderate deviation
≥ 4 — Mild deviation
< 4 — Within expected range
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SCORE 0–10

Deviation Score

The overall deviation score is a composite index that combines all individual metrics into a single 0–10 rating. Higher scores indicate stronger statistical price deviations — properties where listing price diverges most significantly from data-driven estimates.

Weighted composite of GAP + Z-Score + Liquidity + Location
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GAP

deviation_pct

Measures the percentage difference between the listing price and our automated valuation model (AVM) estimate. A positive GAP means the property is listed below its estimated value — the higher the percentage, the larger the price gap.

(Estimated Value − Price) ÷ Estimated Value × 100
Above marketWell below market
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Z-SCORE

z_score (σ)

Measures how many standard deviations a property's price per square meter is from its microzone average. Negative values mean the property is priced below the local norm — statistically cheaper than its neighbors.

(Price/sqm − Zone Mean) ÷ Zone Std. Deviation
Above zone averageWell below zone average
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YIELD

projected_yield

Estimates the annual rental return as a percentage of the listing price, based on our rental estimate model. This metric shows estimated income relative to the property's price.

(Est. Monthly Rent × 12) ÷ Price × 100

Displayed as a neutral value — no color threshold is applied.

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LIQUIDITY

liquidity_score (0–10)

Estimates how quickly a property could transact based on local market dynamics. Combines turnover rate, average days on market, and active inventory depth into a single 0–10 composite score.

Composite: Turnover Rate + Days on Market + Market Depth
IlliquidHighly liquid
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LOCATION

location_score (0–1.7)

Rates the quality of the property's immediate surroundings by analyzing nearby points of interest, walkability, transit access, and safety indices. A higher score indicates a more desirable micro-location.

POI density + Walk Score + Transit Score + Crime Index
Low qualityPremium location

Data Refresh

Market data is synchronized on a configurable schedule to ensure deviations are detected while still relevant:

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Hourly

For high-activity markets requiring real-time monitoring

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Daily

Standard refresh for most tracked zip codes

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Weekly

For stable markets with lower listing turnover