Buyer reviewing property documents and a suburb map at a kitchen table

Property Price Estimates

Three-Layer Research-Led Price Estimation

Comparable sales, feature adjustments, and market context blended into a transparent estimate range. Confidence scoring across every Australian state and territory.

Buyer reviewing property documents and a suburb map at a kitchen table

Key Highlights

Comparable Sales Analysis

Identifies similar recently sold properties within a 12-month lookback period. Each comparable is weighted by similarity across bedrooms, bathrooms, land size, property type, and distance. Recency weighting uses exponential decay with a 180-day half-life to prioritise recent market evidence.

Feature Engineering

Calculates value adjustments based on property-specific features: pool (+3%), renovation quality (+5%), views (+4%), flood zone (-8%), heritage overlay impact, and more. Also incorporates suburb growth trends, RBA cash rate, auction clearance rates, seasonal factors, and supply/demand ratios.

qualitative analysis Assessment

Anthropic's qualitative analysis analyses the property description, comparable data, feature adjustments, and suburb context to provide a predicted price with detailed reasoning, market sentiment assessment, value drivers, and risk factors.

Blended Confidence Scoring

The three layers are combined using calibrated weights (50% comparable, 20% features, 30% research) to produce a final estimate. Confidence is calibrated and capped at 85% for houses and 80% for units.

How It Works

1

Property Identification

Enter a property address or select from current listings. The system retrieves property details including bedrooms, bathrooms, land size, and listing description from public sources.

2

Comparable Matching

The engine searches for similar properties sold within 12 months and 2km radius, scoring each by similarity and recency. Minimum 3 comparables required for a prediction.

3

Feature Adjustment

Property features are extracted from the listing description and public records. Each feature applies a calibrated percentage adjustment to the comparable-based estimate.

4

research Analysis

qualitative analysis reviews all available data and produces a qualitative assessment with predicted price, confidence level, and detailed reasoning explaining the estimate.

5

Blended Output

All three layers are combined into a single prediction with midpoint estimate, confidence percentage, and price range. Historical accuracy metrics are provided for context.

Data Sources

  • Domain.com.au API: Recent sales and listing data
  • PropTrack API: Historical transaction records
  • ABS Census: Demographics, income, population
  • Local Council Open Data: Planning overlays and zoning
  • Reserve Bank of Australia: Cash rate and economic indicators
  • Planning Alerts: Development application activity

Benefits

  • Transparent three-layer methodology with visible reasoning
  • Confidence scoring that honestly reflects prediction uncertainty
  • All data sources listed: no hidden or proprietary data
  • Accuracy tracked against actual sales and published publicly
  • Works across every state and territory in Australia: 17,000+ suburbs covered
  • Free to use: no account or personal data required

Disclaimer: Property price estimates are estimates based on publicly available data and market analysis. They are not formal valuations, financial advice, or guarantees of market value. Always obtain a professional valuation and consult qualified financial advisors before making property decisions.

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