Photo Count

Source

realtor.com listing data · vintage 2026 · refresh cadence: 4h

Number of MLS photos (proxy for marketing effort).

Direction of better

Higher values are better. Used to rank candidate towns/properties; higher score = stronger fit.

Unit

Values are reported in count.

Where the data lives

Tables: active_listings

Columns: photos

Input field: [computed]

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": "listing.photo_count",
  "name": "Photo Count",
  "value": 8,
  "unitText": "count",
  "additionalProperty": [
    {
      "@type": "PropertyValue",
      "name": "composite",
      "value": "Listing"
    },
    {
      "@type": "PropertyValue",
      "name": "level",
      "value": "listing"
    },
    {
      "@type": "PropertyValue",
      "name": "direction",
      "value": "higher_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": "listing.photo_count",
    "sameAs": "realtor.com listing data"
  },
  "mentions": [
    {
      "@type": "Dataset",
      "@id": "https://valifit.com/sources/realtor-com-listings",
      "identifier": "REALTOR_COM",
      "name": "Realtor.com Listing Data",
      "url": "https://www.realtor.com",
      "sameAs": "https://www.realtor.com",
      "creator": {
        "@type": "Organization",
        "name": "Move, Inc. (NAR)"
      },
      "temporalCoverage": "4h",
      "dateModified": "2026-05-22"
    }
  ]
}