Automated valuation model (AVM) info

An Automated Valuation Model (AVM) estimates list, sale, or rent prices for any address using machine learning. It's how lenders, insurers, and proptech apps value millions of properties at once.

AVM API docs Order from dashboard

Example AVM reports

Below are two example reports, each generated for a real property in our database, showing the full output of a $5 request.

View example report 1 View example report 2

Why Houski's AVMs

$5 per valuation - Pay-as-you-go, no upfront commitment.
Hierarchical fallback - City-specific model if available, then provincial, then country. Every address gets a prediction.
All of Canada - 19M+ properties scored using the 200+ fields that power our API.
Transparent accuracy - Median MAPE, R-squared, and percent-within-10% published for every model below.

How to get a valuation

Through the API - Hit our /avm endpoint with an address. Returns list, sale, and rent predictions plus a report. $5 added to your API subscription as usage and billed on your next monthly invoice.
Through your dashboard - Sign up and order an AVM for any address, no integration required. Same $5, choose to bill it to your API subscription or pay it as a one-time charge to your card without a subscription.

What each report includes

A report is more than three numbers. Here is what you get and how each part is built.

Three estimates with confidence scores - List price, sale price, and monthly rent each come from their own model, so one can be more certain than another. Each estimate carries a confidence score of 100 minus the model's typical percentage error, so a confidence of 95% means half of past estimates from that model landed within 5% of the real figure.
Flags - Concrete things we noticed about the property or its area that are worth looking into before you rely on the estimate, such as elevated flood risk, monthly fees that run high for the value, a large gap from the assessed value, or older wiring. They describe the home and its surroundings, not our confidence in the number, and they appear only when something stands out.
Property and area scores - We score the location from 1 to 10 across natural hazards such as flood, fire, and earthquake, and everyday livability such as walkability, transit, safety, and noise. Higher is always better, including the hazard scores, where a high score means lower exposure.
Comparable properties - Nearby homes of the same type and similar size, ranked by how closely their price, size, and distance match this home, closest first. The price shown is the last asking price we saw before each one left the market, and the sale date is our own estimate rather than a recorded sale figure.
A living estimate - The report is live, so the values update over time as the underlying data and the market change, and each report shows the date it was valued.

Model type

Select the type of valuation model you want to view.

Understanding the metrics

Median MAPE (Median of the Mean Absolute Percentage Error):: A Median MAPE of 5% means half of our estimates fall within 5% of actual value. For a $500,000 home, we'd typically be off by $25,000 or less.; Median (not mean) avoids skew from outliers. Lower is better.
R² Score:: How much price variation the model explains. R² of 0.850 means the model accounts for 85% of price differences.; For context, predicting with city name alone might give R² = 0.30, while adding square footage, bedrooms, and neighborhood pushes it to 0.65. Higher is better.
Within 10%:: How often estimates land near actual value. 75% means 3 out of 4 $500,000 estimates fall between $450,000 and $550,000. Higher is better.
Details:: Each model has a details page with deeper metrics.

City models

Our most accurate models, trained on city-specific patterns.

City	M. MAPE	R² score	Within 10%	Details
Airdrie, AB	4.3%	0.890	81.2%	View →
Port Moody, BC	4.4%	0.930	78.4%	View →
Burnaby, BC	4.4%	0.940	80.6%	View →
Coquitlam, BC	4.5%	0.910	78.5%	View →
Calgary, AB	4.6%	0.950	80.1%	View →
Port Coquitlam, BC	4.7%	0.930	77.4%	View →
Cochrane, AB	4.7%	0.820	78.4%	View →
Surrey, BC	4.9%	0.940	75.9%	View →
New Westminster, BC	4.9%	0.890	76.7%	View →
Langley, BC	4.9%	0.890	74.5%	View →
Richmond, BC	4.9%	0.920	76.5%	View →
Squamish, BC	5.1%	0.900	73.5%	View →
North Vancouver, BC	5.2%	0.930	74.2%	View →
Spruce Grove, AB	5.3%	0.880	72.6%	View →
Chestermere, AB	5.3%	0.770	73.9%	View →
Langford, BC	5.3%	0.870	71.8%	View →
Maple Ridge, BC	5.3%	0.880	71.4%	View →
Edmonton, AB	5.4%	0.910	72.2%	View →
Courtenay, BC	5.5%	0.830	71.1%	View →
Okotoks, AB	5.6%	0.890	68.3%	View →
Leduc, AB	5.7%	0.870	70.4%	View →
Winnipeg, MB	5.9%	0.890	69.9%	View →
Kamloops, BC	6.0%	0.870	68.1%	View →
Milton, ON	6.1%	0.780	68.0%	View →
Nanaimo, BC	6.2%	0.860	67.9%	View →
Lethbridge, AB	6.2%	0.840	66.2%	View →
Abbotsford, BC	6.2%	0.900	66.1%	View →
Fort Saskatchewan, AB	6.3%	0.820	69.2%	View →
Chilliwack, BC	6.3%	0.850	66.8%	View →
Vancouver, BC	6.4%	0.920	67.0%	View →
Victoria, BC	6.4%	0.930	67.2%	View →
Guelph, ON	6.5%	0.800	67.2%	View →
Brampton, ON	6.5%	0.820	67.7%	View →
Campbell River, BC	6.5%	0.870	64.9%	View →
Saskatoon, SK	6.5%	0.860	64.7%	View →
Mississauga, ON	6.6%	0.910	65.9%	View →
Red Deer, AB	6.7%	0.870	63.9%	View →
White Rock, BC	6.7%	0.920	64.3%	View →
Delta, BC	6.7%	0.850	63.3%	View →
Brandon, MB	6.8%	0.770	62.9%	View →
Barrie, ON	6.8%	0.700	65.8%	View →
Penticton, BC	6.9%	0.860	61.8%	View →
Kelowna, BC	7.0%	0.880	62.9%	View →
Newmarket, ON	7.0%	0.780	61.1%	View →
Vaughan, ON	7.0%	0.900	63.2%	View →
St. Thomas, ON	7.0%	0.650	61.1%	View →
Ajax, ON	7.0%	0.720	63.7%	View →
Whitby, ON	7.1%	0.690	62.8%	View →
Fort St. John, BC	7.3%	0.740	61.0%	View →
Oakville, ON	7.3%	0.910	61.8%	View →
Vernon, BC	7.3%	0.840	61.0%	View →
St. Albert, AB	7.3%	0.890	61.6%	View →
Saanich, BC	7.4%	0.900	62.2%	View →
Oshawa, ON	7.4%	0.750	62.4%	View →
Pickering, ON	7.5%	0.810	61.8%	View →
Parksville, BC	7.5%	0.790	62.6%	View →
Whistler, BC	7.6%	0.900	58.8%	View →
Markham, ON	7.7%	0.880	60.4%	View →
Medicine Hat, AB	7.8%	0.810	59.0%	View →
Brantford, ON	7.8%	0.720	61.0%	View →
Waterloo, ON	7.8%	0.780	58.9%	View →
Ottawa, ON	7.8%	0.770	58.7%	View →
Woodstock, ON	7.8%	0.620	62.6%	View →
Kitchener, ON	7.9%	0.760	59.9%	View →
Fort McMurray, AB	8.0%	0.870	59.9%	View →
Burlington, ON	8.0%	0.840	58.6%	View →
Regina, SK	8.1%	0.860	57.8%	View →
Toronto, ON	8.2%	0.870	57.2%	View →
Cambridge, ON	8.3%	0.520	57.8%	View →
Richmond Hill, ON	8.5%	0.840	55.7%	View →
St. Catharines, ON	8.6%	0.730	55.2%	View →
London, ON	8.8%	0.740	54.6%	View →
Peterborough, ON	8.9%	0.500	54.3%	View →
Aurora, ON	8.9%	0.770	55.5%	View →
Orillia, ON	9.1%	0.640	53.8%	View →
Grande Prairie, AB	9.1%	0.620	53.5%	View →
Vaudreuil-Dorion, QC	9.1%	0.500	52.9%	View →
Kingston, ON	9.3%	0.660	52.2%	View →
Hamilton, ON	9.4%	0.720	52.4%	View →
Brossard, QC	9.7%	0.790	50.7%	View →
Gatineau, QC	9.7%	0.650	50.7%	View →
Riverview, NB	9.9%	0.780	50.4%	View →
Kanata, ON	9.9%	0.660	50.2%	View →
Niagara Falls, ON	10.0%	0.440	49.7%	View →
Welland, ON	10.0%	0.430	49.8%	View →
Clarington, ON	10.1%	0.470	49.1%	View →
Mirabel, QC	10.3%	0.670	48.9%	View →
Innisfil, ON	10.4%	0.710	48.6%	View →
Sarnia, ON	10.5%	0.620	47.9%	View →
Collingwood, ON	10.5%	0.810	47.5%	View →
Mascouche, QC	10.6%	0.640	47.6%	View →
Belleville, ON	10.6%	0.480	48.8%	View →
Georgetown, ON	10.8%	0.640	46.8%	View →
Terrebonne, QC	10.9%	0.590	46.5%	View →
Dieppe, NB	11.0%	0.620	47.0%	View →

Province models

Province-wide models, used when no city model exists.

Province	M. MAPE	R² Score	Within 10%	Details
BC	8.1%	0.830	57.2%	View →
YT	8.9%	0.600	54.7%	View →
AB	11.1%	0.680	46.6%	View →

Country models

Nationwide fallback when no city or province model exists.

Country	M. MAPE	R² Score	Within 10%	Details
CA	15.6%	0.720	36.0%	View →

AVM API docs Order from dashboard

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