Source
Redfin market data · vintage 2026 · refresh cadence: monthly
YoY change in price-drop frequency. Rising = cooling market = buyer leverage.
Direction of better
Lower values are better. Used to rank candidate towns/properties; lower score = stronger fit.
Unit
Values are reported in dollars.
Default weight in Appreciation composite
5% of the Appreciation composite by default. Users can override this weight in their intake; the displayed score reflects the user's chosen weighting, never a fixed default.
Where the data lives
Tables: redfin_market_data
Columns: price_drops_yoy
Input field: price_drops_yoy
JSON-LD example
Every value emitted by ValiFit (in /api/v1, MCP responses, on-page JSON-LD) carries a propertyID set to this metric_id, so AI clients can resolve it back here in one round-trip.
{
"@type": "PropertyValue",
"propertyID": "appreciation.price_drops_trend_yoy",
"name": "Price Drops Trend (YoY)",
"value": 350000,
"unitText": "dollars",
"additionalProperty": [
{
"@type": "PropertyValue",
"name": "composite",
"value": "Appreciation"
},
{
"@type": "PropertyValue",
"name": "level",
"value": "city"
},
{
"@type": "PropertyValue",
"name": "direction",
"value": "lower_better"
},
{
"@type": "PropertyValue",
"name": "source_year",
"value": "2026"
},
{
"@type": "PropertyValue",
"name": "fha_safe",
"value": true
}
],
"valueReference": {
"@type": "QuantitativeValue",
"additionalType": "https://valifit.com/catalog/metric",
"identifier": "appreciation.price_drops_trend_yoy",
"sameAs": "Redfin market data"
}
}For programmatic access
GET /api/v1/catalog/metrics?id=appreciation.price_drops_trend_yoy
MCP tool: get_catalog with id="appreciation.price_drops_trend_yoy"