montoit.ca aggregates Montréal condo listings from every major source into one deduplicated feed, joined to public reference data so you can read a listing in context. It's a buyer's research tool — evidence, never an appraisal or advice.
montoit.ca is an independent, solo-run project by Alexandre Godard. It's not affiliated with any listing service, brokerage, or government body.
Questions, corrections, or a data-removal request? Email contact@montoit.ca.
Listings are collected from public listing sources every 30 minutes, with deeper backfills through the day and a nightly re-derivation pass.
Each listing is joined to public reference data that we read but don't own:
Deal score. How far a listing's asking price sits below comparable value. Where a neighborhood has enough matched sold data (its ask→sold calibration passes the gate), we anchor on a sold-based estimate; otherwise it degrades to the weaker price-per-square-foot-versus-neighborhood-median signal, and the wording is hedged so we never imply a sold number we can't back.
Comps. Comparable units shown as a range and a percentile, not an appraisal. The inputs appear below (ADR-0002).
Close estimate. In neighborhoods with enough matched Land Register sales, the estimated close applies the measured ask→sold gap to the listing's original ask. Thin-data neighborhoods get no estimate, and limited-data ones are labelled with their sample size (ADR-0012).
Ask erosion. For units that left the market, how much of the original asking price they shed before disappearing — a lower bound on the real negotiation discount, since the actual sale price is at or below the last ask.
Building churn. How many distinct units in a building were listed in the past 12 months, against the building's unit count from the roll. Evidence of turnover, not a verdict on the building.