boliga

What problem does it solve?

Provide accurate, live Danish property data so users can discover current listings, verify sold prices, and retrieve comprehensive address and BBR history without guessing or relying on stale information.

Core Features & Use Cases

• For-sale search: Filter active listings by zip code, municipality, property type, price, size, rooms, build year, and energy class.
• Sold history: Query historical sales records and compare asking vs sold prices with the change percentage field.
• Full property detail & BBR: Retrieve listing detail, agent info, images, cadastral data, official valuations, and complete address history via ouId.
• Autocomplete & location resolution: Resolve addresses, streets, zip codes, and municipalities for accurate queries.
• Market stats & trends: Get real-time snapshot counts and quarterly RKR price index data for trend analysis.
• Use Case: A real estate analyst can search apartments in Copenhagen, fetch detail for promising listings, then call property to obtain BBR and sold history to assess valuation risk.

Quick Start

Ask the boliga skill to find apartments for sale in zip code 2100 under 3,000,000 DKK and return the results in table format.