Area Insights · MCP tool
area-insights_get_sales_average_prices
Average registered sale prices by location
Call it as area-insights_get_sales_average_prices on the Area Insights MCP server, https://platform.casafari.com/mcp/area-insights (how to connect).
Over REST: no operation in the public API description does this. MCP and REST compared.
What does Average registered sale prices by location do?
Average registered sale price and average price per square metre in Spain, France, Italy, Poland or Portugal, one row per location inside the area: with location_ids, the locations beneath each one, each row naming its parent_location_id. Use it to compare districts or neighbourhoods. Give country and location_boundary; sold_at_range, types and price filters narrow the sales counted. A large area can return many rows. Portugal answers INE's latest median per square metre for each municipality in a circle or polygon. Sale prices, not asking prices: for asking prices use the other Area Insights tools.
Which parameters does area-insights_get_sales_average_prices take?
countrystringrequiredES FR IT PL PT ATlocation_boundaryobjectrequired3 properties
location_idsinteger[]circleobject2 properties
coordinatesobjectrequired2 properties
latnumberrequiredlonnumberrequiredradius_in_metersnumberrequiredpolygonobject[]2 properties
latnumberrequiredlonnumberrequiredsold_at_rangeobject4 properties
gtestring (date)^\d{4}-\d{2}-\d{2}$gtstring (date)^\d{4}-\d{2}-\d{2}$ltestring (date)^\d{4}-\d{2}-\d{2}$ltstring (date)^\d{4}-\d{2}-\d{2}$typesstring[]^[a-z][a-z_]*$conditionsstring[]used ruin very-good new otherwith_mortgagebooleanprice_rangeobject4 properties
gtenumbergtnumberltenumberltnumberprice_per_sqm_rangeobject4 properties
gtenumbergtnumberltenumberltnumberHow do I call area-insights_get_sales_average_prices?
Required arguments only, with placeholder values. Your assistant fills them in from the parameters above.
{
"jsonrpc": "2.0",
"id": 1,
"method": "tools/call",
"params": {
"name": "area-insights_get_sales_average_prices",
"arguments": {
"country": "ES",
"location_boundary": {
"location_ids": [
1
]
}
}
}
}