How do I analyse how prices in an area have moved over time?

Resolve the place to a location id, fetch a price time series from Area Insights, then compute growth and volatility with time-series operations.

If you're a Casafari client: over the Casafari REST API, POST /market-analytics-api/time-series returns the series. For an assistant, use the self-serve platform's MCP servers like everyone else (below).

If you're new to Casafari: over MCP, on the self-serve platform:

1. locations_search, on the Area Insights server itself (also on https://platform.casafari.com/mcp/locations): pass the place name and pick the location_id you want (location ids).
2. area-insights_get_time_series_data (https://platform.casafari.com/mcp/area-insights): request type_group apartment, business_type sale, data_point avg_price_psqm and date_interval month, with a date_range and the location ids. Each point holds one period's value.
3. area-insights_get_time_series_operations: request the same segment with operations such as mean, delta_pct, cagr, std and cv.

A place lookup costs 0 tokens; a time series and its operations cost 5 tokens each. Over REST, use https://platform.casafari.com/v1/area-insights, described in https://platform.casafari.com/v1/area-insights/openapi.json.

Casafari's example question: "How has the asking price per m² of flats in Valencia moved over the last three years?"

See: Area Insights and What is Area Insights?