Compass agent

Valuer — comparable-sales analysis with primary-source citation lineage

Valuer explains comparable-sales discipline and helps structure a buyer-supplied fair-value worksheet with citation prompts. It highlights adjustment factors such as bedroom count, land area, dwelling age, sale-date recency, and condition so users know what to verify before acting.

What Valuer does

5-15 comparable sales per property with primary-source-traceable data
Adjustment factors: bedrooms, bathrooms, parking, land area, dwelling age, dwelling type, recent renovation indicator, sale-date recency
Fair-market-value range output with confidence interval
Citation chips on every comp linking to state valuer-general source
Vendor-discount-pct-avg benchmark for the suburb (90-day rolling)
Median price quartile context (where the comp sits in the suburb's price distribution)
AFSL-friendly research-only scope; not a formal valuation per the Property Valuation and Standards Act

Try Valuer with these

“Pull 8 comparable sales for [ADDRESS] within the last 6 months.”

“What's a fair-market range for a 4-bedroom 2-bathroom 600m² block in [SUBURB] with no recent renovation?”

“Compare the asking price of [ADDRESS] against the 5 most-recent sales in the same street.”

Available on

Valuer is included in Investor A$249 and Pro A$499. Pro adds buyer-agent workspace features.

How Valuer thinks

Valuer's adjustment-factor algorithm is published in methodology paper section 4. The comparable-sales pool draws from state valuer-general bulk transfer data refreshed weekly. The output is research-grade — not a formal valuation under AVI standards — but the data lineage is the same primary-source layer a state-licensed valuer would use, ASIC FOI-discoverable. Read the methodology paper.

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