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Casafari is the AI agent-native real estate data intelligence platform. The most complete property index in Europe: a deduplicated, cleaned property graph of residential and commercial property, for sale and for rent, in 16 countries.The most complete property index in Europe: a deduplicated, cleaned property graph.

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Area Insights · REST API

Properties Distribution

POSThttps://api.casafari.com/market-analytics-api/distributions/properties
Bearer token44 parameters

On the existing API at https://api.casafari.com (contract clients): send Authorization: Bearer $CASAFARI_TOKEN; see how to get a token. New users: the platform's REST API, platform API keys.

Over MCP: no tool does this. MCP and REST compared.

Description

Returns the properties lightweight data sample and distribution quartiles.

Lightweight data includes only price and location data.

Request body

Content type application/json. Required. Type: object.

typesstring[]required
The list of property types by type groups: apartment: ["apartment", "studio", "duplex", "penthouse", "dachgeschosswohnung", "etagenwohnung", "erdgeschosswohnung"] house: ["country_house", "house", "palace", "townhouse", "villa", "country_estate", "chalet", "bungalow", "family_house", "reihenhaus", "reihenendhaus", "reihenmittelhaus", "einfamilienhaus", "zweifamilienhaus", "landwirtschaftliche_betriebe"] room: ["room"] building: ["apartment_building", "office_building", "mix_use_building"] investment: ["retail", "office", "industrial", "warehouse", "hotel", "building", "other_commercial", "restaurant", "werkstatt"] development: ["apartment_development", "house_development"] plot: ["urban_plot", "rural_plot"] other: ["parking", "garage", "other"] Note that you can select multiple types only from one property type group. Some types exist only in some countries: Germany: dachgeschosswohnung, etagenwohnung, erdgeschosswohnung, family_house, reihenhaus, reihenendhaus, reihenmittelhaus, einfamilienhaus, zweifamilienhaus, landwirtschaftliche_betriebe, restaurant, werkstatt; France, Germany, Italy, Portugal, Spain: urban_plot, rural_plot.
42 allowed valuesapartment studio duplex penthouse dachgeschosswohnung etagenwohnung erdgeschosswohnung country_house house palace townhouse villa country_estate chalet bungalow family_house reihenhaus reihenendhaus reihenmittelhaus einfamilienhaus zweifamilienhaus landwirtschaftliche_betriebe retail office industrial warehouse hotel building other_commercial restaurant werkstatt urban_plot rural_plot room parking garage other apartment_building office_building mix_use_building apartment_development house_development
at least 1 item
business_typestringrequired
sale rent
price_rangeobjectnullable
2 properties
minintegernullable
1–2147483647
maxintegernullable
1–2147483647
price_per_sqm_rangeobjectnullable
2 properties
minintegernullable
1–2147483647
maxintegernullable
1–2147483647
rooms_rangeobjectnullable
2 properties
minintegernullable
1–15000
maxintegernullable
1–15000
bedrooms_rangeobjectnullable
2 properties
minintegernullable
0–15000
maxintegernullable
0–15000
bathrooms_rangeobjectnullable
2 properties
minintegernullable
1–15000
maxintegernullable
1–15000
total_area_rangeobjectnullable
2 properties
minintegernullable
1–1000000
maxintegernullable
1–1000000
plot_area_rangeobjectnullable
2 properties
minintegernullable
1–1000000
maxintegernullable
1–1000000
construction_year_rangeobjectnullable
2 properties
minintegernullable
1–3000
maxintegernullable
1–3000
characteristicsobjectnullable
2 properties
must_havestring[]
Include only properties that have all these characteristics.
balcony elevator no_elevator garage garden parking storage swimming_pool terrace rental_license furniture rented_out life_annuity
excludestring[]
Exclude properties that contain any of these characteristics.
balcony elevator no_elevator garage garden parking storage swimming_pool terrace rental_license furniture rented_out life_annuity
conditionsstring[]
Property conditions, as returned by the GET /api/v1/references/conditions endpoint.
used ruin very-good new other
at least 1 item
privateboolean
Whether the property is listed by a private individual, as opposed to an agent or a professional.
bankboolean
Whether the property is owned by the bank.
auctionboolean
Whether the property is the subject of an auction.
default false
exclude_outliersboolean
Exclude properties that are significantly underpriced or overpriced compared to similar properties.
default false
custom_location_boundaryobjectrequired
3 properties
location_idsinteger[]
List of location IDs.
1–10 items1–2147483647
polygonobject[]
List of geo-points to search within. Polygon must contain at least 4 points. First and last points must match.
at least 4 items
2 properties
latitudenumberrequired
-90–90
longitudenumberrequired
-180–180
circleobject
Circle boundary to search within.
2 properties
distanceintegerrequired
Maximum distance in meters from the requested target_point to the properties.
50–50000
target_pointobjectrequired
Target point coordinates to search around.
2 properties
latitudenumberrequired
-90–90
longitudenumberrequired
-180–180

Example request

Placeholders only: replace the token and the values with your own.

curl
curl -X POST "https://api.casafari.com/market-analytics-api/distributions/properties" \
  -H "Authorization: Bearer $CASAFARI_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
  "types": [
    "apartment"
  ],
  "business_type": "sale",
  "custom_location_boundary": {
    "location_ids": [
      11737
    ]
  }
}'

Responses

200 Successful Response

Type: object.

Show the response shape (13 fields)
propertiesobject[]required
List of properties that participated in the distribution.
6 properties
property_idintegerrequired
ID of the property.
property_unit_idintegerrequired
Property sub-identifier. Along with the property_id, it ensures the uniqueness of the property.
priceintegerrequired
price_per_sqmnumberrequired
location_idintegerrequired
coordinatesobjectrequired
2 properties
latitudenumberrequired
-90–90
longitudenumberrequired
-180–180
quartilesobjectrequired
The quantiles that divide the properties distribution into four parts.
3 properties
lowernumberrequired
25th percentile. The lowest 25% of distribution data is below this point.
meannumberrequired
50th percentile or median. The lowest 50% of distribution data is below this point.
uppernumberrequired
75th percentile. The lowest 75% of distribution data is below this point.
Example from a real call (Madrid, apartments for sale)
JSON
{
  "properties": [
    {
      "property_id": 1000001,
      "property_unit_id": 2000001,
      "price": 490000,
      "price_per_sqm": 4900,
      "location_id": 11848,
      "coordinates": {
        "latitude": 40.4168,
        "longitude": -3.7038
      }
    },
    {
      "property_id": 1000002,
      "property_unit_id": 2000002,
      "price": 459000,
      "price_per_sqm": 9180,
      "location_id": 11765,
      "coordinates": {
        "latitude": 40.4232,
        "longitude": -3.6921
      }
    }
  ],
  "quartiles": {
    "lower": 4236,
    "mean": 6429,
    "upper": 9403.5
  }
}

204 No Content

No body.

400 Bad Request

Type: object.

Show the response shape (3 fields)
messagestringrequired
errorsstring[]nullable
detailsstringnullable

422 Validation Error

Type: object.

Show the response shape (6 fields)
detailobject[]
5 properties
loc(string | integer)[]required
msgstringrequired
typestringrequired
inputany
ctxobject
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