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MCP 服务器

GUTHMANN® Berlin Real Estate

estate.guthmann/mcp
数据与分析 地图与位置 房地产 公开且可连接 MCP 2025-11-25

此 MCP 可以做什么

Searches Berlin property listings and provides granular Berlin real-estate, neighborhood, demographic, and market statistics.

功能

工具

37 工具
berlin_borough_details
Borough Details
Returns details for one Berlin borough (Bezirk) by ID, optionally with all its districts. Parameters: - bezirk_id (required): 2-digit ID ("01" to "12") - ortsteile: "true" to include all districts of the borough Key response fields: { bezirk_id, bezirk_name, ortsteile?: [...] } (ortsteile = districts) Example: bezirk_id="03" → Pankow with 13 districts (Prenzlauer Berg, Weißensee, etc.)
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输入模式 
{'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'required': ['bezirk_id'], 'properties': {'include': {'type': 'string'}, 'bezirk_id': {'type': 'string', 'pattern': '^\\d{2}$'}, 'ortsteile': {'enum': ['true', 'false'], 'type': 'string', 'default': 'false'}}}
berlin_boroughs
Berlin Boroughs
Returns all 12 Berlin boroughs (Bezirke) with IDs and names. Key response fields: array of { bezirk_id, bezirk_name } - bezirk_id: 2 digits ("01" to "12") - bezirk_name: e.g. "Mitte", "Friedrichshain-Kreuzberg", "Pankow" Use when: - You need an overview of Berlin's administrative structure - You need a bezirk_id for market data queries Do NOT use when: - You already know the bezirk_id → use berlin_borough_details directly
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输入模式 
{'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'properties': {}}
berlin_conservation_area_details
Conservation Area Details
Returns a single Berlin social conservation area (Milieuschutzgebiet) by ID. For main areas, associated extensions are embedded automatically. Parameters: - id (required): 12-character hex string (deterministic area ID) - include: comma-separated geo attributes; available: "centroid". Polygons are provided as GeoJSON URLs in geometry_urls Key response fields: { id, name, kategorie_id, kategorie_name, parent_id, beschreibung (description), datum (date), flaeche_km2 (area in km²), geometry_urls, centroid?, erweiterungen? (extensions) }
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输入模式 
{'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'required': ['id'], 'properties': {'id': {'type': 'string', 'description': '12-stelliger Hex-String der Gebiets-ID'}, 'include': {'enum': ['centroid'], 'type': 'string', 'description': 'Geo-Attribute: centroid. Polygone kommen als GeoJSON-URLs in geometry_urls'}}}
berlin_conservation_areas
Berlin Conservation Areas
Berlin social conservation areas (Milieuschutzgebiete, §172 BauGB). 124 areas in 6 categories with polygon geometry. Parameters: - kategorie_id: filter by category ("erhaltungsgebiet" | "erweiterung" | "aufstellungsbeschluss" | "untersuchungsgebiet" | "beobachtungsgebiet" | "aufgehoben") - erweiterungen: "true" to embed extensions as a nested array inside their main area - include: comma-separated geo attributes; available: "centroid". Polygons are provided as GeoJSON URLs in geometry_urls - lat/lon: WGS84 point lookup. Returns only areas containing the point (typically 0 or 1 match). lat and lon must be provided together. Key response fields: array of { id, name, kategorie_id, kategorie_name, parent_id, beschreibung (description), datum (date), flaeche_km2 (area in km²), geometry_urls, centroid?, erweiterungen? (extensions) } Use for: "Is this address in a social conservation area?" (with lat/lon), overview of all Milieuschutz areas.
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输入模式 
{'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'properties': {'lat': {'type': 'number', 'description': 'Breitengrad WGS84 für Punkt-Lookup (mit lon)'}, 'lon': {'type': 'number', 'description': 'Längengrad WGS84 für Punkt-Lookup (mit lat)'}, 'include': {'enum': ['centroid'], 'type': 'string', 'description': 'Geo-Attribute: centroid. Polygone kommen als GeoJSON-URLs in geometry_urls'}, 'kategorie_id': {'enum': ['erhaltungsgebiet', 'erweiterung', 'aufstellungsbeschluss', 'untersuchungsgebiet', 'beobachtungsgebiet', 'aufgehoben'], 'type': 'string', 'description': 'Filter nach Kategorie'}, 'erweiterungen': {'enum': ['true', 'false'], 'type': 'string', 'description': 'Erweiterungen als nested Array einbetten'}}}
berlin_district_details
District Details
Returns details for one Berlin district (Ortsteil) by ID, optionally with its neighborhoods. Parameters: - ortsteil_id (required): 4-digit ID (e.g. "0301") - planungsraeume: "true" to include all neighborhoods of the district Key response fields: { ortsteil_id, ortsteil_name, bezirk_id, bezirk_name, planungsraeume?: [...] } (planungsraeume = neighborhoods)
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输入模式 
{'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'required': ['ortsteil_id'], 'properties': {'include': {'type': 'string'}, 'ortsteil_id': {'type': 'string', 'pattern': '^\\d{4}$'}, 'planungsraeume': {'enum': ['true', 'false'], 'type': 'string', 'default': 'false'}}}
berlin_districts
Berlin Districts
Returns all 97 Berlin districts (Ortsteile), optionally filtered by borough. Parameters: - bezirk_id (optional): filter to the districts of one borough - bezirke: "true" to include borough references Key response fields: array of { ortsteil_id, ortsteil_name, bezirk_id?, bezirk_name? } - ortsteil_id: 4 digits (e.g. "0301" for Prenzlauer Berg) Examples of well-known districts: - Prenzlauer Berg (0301), Kreuzberg (0201), Mitte (0101) - Charlottenburg (0401), Neukölln (0801), Friedrichshain (0202)
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输入模式 
{'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'properties': {'bezirke': {'enum': ['true', 'false'], 'type': 'string', 'default': 'false'}, 'include': {'type': 'string'}, 'bezirk_id': {'type': 'string', 'pattern': '^\\d{2}$'}}}
berlin_neighborhood_details
Neighborhood Details
Returns details for one Berlin neighborhood (LOR Planungsraum) by ID, optionally with its blocks. Parameters: - planungsraum_id (required): 8-digit ID - bloecke: "true" to include all blocks of the neighborhood Key response fields: { planungsraum_id, planungsraum_name, bezirk_id, bezirk_name, ortsteil_id, ortsteil_name, bloecke?: [...] } (bloecke = blocks)
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输入模式 
{'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'required': ['planungsraum_id'], 'properties': {'include': {'type': 'string'}, 'planungsraum_id': {'type': 'string', 'pattern': '^\\d{8}$'}}}
berlin_neighborhoods
Berlin Neighborhoods
Returns all 542 Berlin neighborhoods (LOR Planungsräume), optionally filtered by borough or district. Parameters: - bezirk_id (optional): filter by borough - ortsteil_id (optional): filter by district - bezirke/ortsteile: "true" to include parent references Key response fields: array of { planungsraum_id, planungsraum_name, ... } - planungsraum_id: 8 digits (e.g. "03010101") Neighborhoods are the finest statistical level in Berlin. Ideal for granular market analyses.
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输入模式 
{'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'properties': {'bezirke': {'enum': ['true', 'false'], 'type': 'string', 'default': 'false'}, 'include': {'type': 'string'}, 'bezirk_id': {'type': 'string', 'pattern': '^\\d{2}$'}, 'ortsteile': {'enum': ['true', 'false'], 'type': 'string', 'default': 'false'}, 'ortsteil_id': {'type': 'string', 'pattern': '^\\d{4}$'}}}
berlin_neighborhood_search
Neighborhood Search
Searches Berlin neighborhoods (LOR Planungsräume) by name. Parameters: - q (required): search term (min. 3 characters) - limit: max. results (default: 25) - bezirk_id/ortsteil_id: optional filters to narrow the search Example: q="Kollwitz" finds the "Kollwitzplatz" neighborhood
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输入模式 
{'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'required': ['q'], 'properties': {'q': {'type': 'string', 'minLength': 3}, 'limit': {'type': 'integer', 'maximum': 1000, 'minimum': 1, 'description': 'Maximale Anzahl Ergebnisse (öffentlich bis 1000)'}, 'bezirke': {'enum': ['true', 'false'], 'type': 'string', 'default': 'false'}, 'include': {'type': 'string'}, 'bezirk_id': {'type': 'string', 'pattern': '^\\d{2}$'}, 'ortsteile': {'enum': ['true', 'false'], 'type': 'string', 'default': 'false'}, 'ortsteil_id': {'type': 'string', 'pattern': '^\\d{4}$'}}}
field_metadata
Field Metadata
Returns field definitions for interpreting API responses. Use this to understand fields, units, data types, and sources. Parameters: - domain (optional): specific domain for detailed field information - locale: "de" (default) | "en" Available domains: - berlin: geographic reference data — Boroughs (Bezirke), Districts (Ortsteile), Neighborhoods (LOR Planungsräume) - immobilienmarkt.berlin.wohnungen: Berlin apartment market - immobilienmarkt.berlin.mehrfamilienhaeuser: Berlin apartment buildings - makrooekonomie.kapitalmarkt: mortgage lending rates, Bund yields - makrooekonomie.geldpolitik: ECB policy rates - makrooekonomie.arbeitsmarkt: unemployment, employment Without a domain parameter: returns an overview of all available domains.
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输入模式 
{'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'properties': {'domain': {'enum': ['berlin', 'immobilienmarkt', 'immobilienmarkt.berlin.wohnungen', 'immobilienmarkt.berlin.mehrfamilienhaeuser', 'immobilienmarkt.de.wohnungen', 'immobilienmarkt.de.mehrfamilienhaeuser', 'makrooekonomie', 'makrooekonomie.kapitalmarkt', 'makrooekonomie.geldpolitik', 'makrooekonomie.arbeitsmarkt', 'makrooekonomie.preise', 'makrooekonomie.wirtschaft', 'soziodemografie', 'soziodemografie.berlin.zensus', 'soziodemografie.berlin.bautaetigkeit', 'soziodemografie.berlin.wanderung', 'soziodemografie.berlin.wanderung.matrix', 'soziodemografie.berlin.einwohner', 'soziodemografie.berlin.einwohner.altersgruppen', 'soziodemografie.berlin.einwohner.herkunft'], 'type': 'string', 'description': 'Domain für Feld-Metadaten. Weglassen für Ã\x9cbersicht aller Domains.'}, 'locale': {'enum': ['de', 'en'], 'type': 'string', 'default': 'de', 'description': 'Sprache für Labels und Beschreibungen (Standard: de)'}}}
listing_details
Listing Details
One GUTHMANN listing in detail: prices and running costs, areas, amenities, energy certificate, exposé texts, images, contact and the exposé URL on guthmann.estate. When the address is not released, street/house number are null and the coordinate is deterministically offset by 150-300 m (koordinaten_versetzt = true). Parameters: - public_id: public listing id (hex, from listings or the exposé URL) - locale: "de" | "en" (default: en)
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输入模式 
{'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'required': ['public_id'], 'properties': {'locale': {'enum': ['de', 'en'], 'type': 'string', 'default': 'en'}, 'public_id': {'type': 'string', 'pattern': '^[0-9a-f]{4,12}$'}}}
listings
GUTHMANN Listings
The GUTHMANN listings: the broker's active inventory in Berlin (for sale: owner-occupier apartments, investment apartments, apartment buildings, commercial). Every card carries its exposé URL on guthmann.estate. Addresses only for released listings, otherwise ZIP/District (Ortsteil)/Borough (Bezirk). Parameters: - segment: "APARTMENT_LIVING" | "APARTMENT_INVEST" | "APARTMENT_BUILDING" | "COMMERCIAL" - bezirk / ortsteil: name filter, e.g. "Pankow" / "Prenzlauer Berg" - preis_min / preis_max: purchase price in EUR - zimmer_min, flaeche_min: lower bounds for rooms / living area (m²) - locale: "de" | "en" for title, texts and exposé URL (default: en) - limit: 1-100 (default: 50) Key response fields: - public_id (key for listing_details), titel (title), teaser, expose_url - kaufpreis (purchase price), kaufpreis_pro_qm (price per m²), kaltmiete (net rent), bruttorendite (gross yield), mietfaktor (price-to-rent multiple) - wohnflaeche (living area), anzahl_zimmer (rooms), baujahr (construction year), energie_wertklasse (energy class) - bezirk (Borough), ortsteil (District), plz (ZIP), adresse (null when adresse_verborgen), bild (small first-party preview image, suitable for inline display)
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输入模式 
{'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'properties': {'limit': {'type': 'integer', 'maximum': 1000, 'minimum': 1, 'description': 'Maximale Anzahl Ergebnisse (öffentlich bis 1000)'}, 'bezirk': {'type': 'string', 'maxLength': 40, 'minLength': 2}, 'locale': {'enum': ['de', 'en'], 'type': 'string', 'default': 'en'}, 'segment': {'enum': ['APARTMENT_LIVING', 'APARTMENT_INVEST', 'APARTMENT_BUILDING', 'COMMERCIAL'], 'type': 'string'}, 'ortsteil': {'type': 'string', 'maxLength': 40, 'minLength': 2}, 'preis_max': {'type': 'integer', 'maximum': 9007199254740991, 'minimum': 0}, 'preis_min': {'type': 'integer', 'maximum': 9007199254740991, 'minimum': 0}, 'zimmer_min': {'type': 'number', 'minimum': 1}, 'flaeche_min': {'type': 'number', 'minimum': 1}}}
macro_bund_yields
Bund Yields
Yields on German government bonds (Bunds). Source: Bundesbank. Parameters: - start/end: YYYY-MM-DD - recent: number of most recent periods - limit, fields, include: "metadata" Key response fields (German names): - rendite_10j: 10-year Bund yield - rendite_15j: 15-year Bund yield - rendite_30j: 30-year Bund yield
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输入模式 
{'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'properties': {'end': {'type': 'string'}, 'limit': {'type': 'integer', 'maximum': 1000, 'minimum': 1, 'description': 'Maximale Anzahl Ergebnisse (öffentlich bis 1000)'}, 'start': {'type': 'string'}, 'fields': {'type': 'string'}, 'recent': {'type': ['string', 'number']}, 'include': {'type': 'string'}}}
macro_construction_prices
Construction Prices
Construction price index for residential buildings. Source: Bundesbank. Quarterly data (2015=100). Parameters: - start/end: YYYY-MM-DD - recent: number of most recent periods Key response fields (German names): - preisindex: construction price index - preisindex_delta_1q: change vs. previous quarter - preisindex_delta_1j: change vs. previous year
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输入模式 
{'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'properties': {'end': {'type': 'string'}, 'limit': {'type': 'integer', 'maximum': 1000, 'minimum': 1, 'description': 'Maximale Anzahl Ergebnisse (öffentlich bis 1000)'}, 'start': {'type': 'string'}, 'fields': {'type': 'string'}, 'recent': {'type': ['string', 'number']}, 'include': {'type': 'string'}}}
macro_ecb_policy_rates
ECB Policy Rates
ECB key interest rates. Source: Bundesbank. Parameters: - start/end: YYYY-MM-DD - recent: number of most recent periods - limit, fields, include: "metadata" Key response fields (German names): - zinssatz_hauptrefinanzierungssatz: main refinancing rate (the ECB's key rate) - zinssatz_einlagefazilitaet: deposit facility rate - zinssatz_spitzenrefinanzierungsfazilitaet: marginal lending facility rate
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输入模式 
{'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'properties': {'end': {'type': 'string'}, 'limit': {'type': 'integer', 'maximum': 1000, 'minimum': 1, 'description': 'Maximale Anzahl Ergebnisse (öffentlich bis 1000)'}, 'start': {'type': 'string'}, 'fields': {'type': 'string'}, 'recent': {'type': ['string', 'number']}, 'include': {'type': 'string'}}}
macro_gdp
GDP Data
GDP data (gross domestic product). Source: Bundesbank. Quarterly data, price-adjusted, seasonally and calendar-adjusted (2015=100). Parameters: - start/end: YYYY-MM-DD - recent: number of most recent periods Key response fields (German names): - kettenindex: GDP chain-linked index - kettenindex_delta_1q: change vs. previous quarter - kettenindex_delta_1j: change vs. previous year
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输入模式 
{'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'properties': {'end': {'type': 'string'}, 'limit': {'type': 'integer', 'maximum': 1000, 'minimum': 1, 'description': 'Maximale Anzahl Ergebnisse (öffentlich bis 1000)'}, 'start': {'type': 'string'}, 'fields': {'type': 'string'}, 'recent': {'type': ['string', 'number']}, 'include': {'type': 'string'}}}
macro_inflation_hicp
Inflation (HICP)
Inflation data (HICP - harmonized index of consumer prices). Source: Bundesbank. Parameters: - start/end: YYYY-MM-DD - recent: number of most recent periods Key response fields (German names): - hvpi_gesamt: overall HICP - hvpi_gesamt_ohne_energie_nahrungsmittel: core inflation (HICP excluding energy and food) - hvpi_energie, hvpi_nahrungsmittel, hvpi_dienstleistungen, hvpi_mieten: energy, food, services, rents
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输入模式 
{'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'properties': {'end': {'type': 'string'}, 'limit': {'type': 'integer', 'maximum': 1000, 'minimum': 1, 'description': 'Maximale Anzahl Ergebnisse (öffentlich bis 1000)'}, 'start': {'type': 'string'}, 'fields': {'type': 'string'}, 'recent': {'type': ['string', 'number']}, 'include': {'type': 'string'}}}
macro_labor_employment
Employment
Employment statistics. Source: Bundesbank. Parameters: - start/end: YYYY-MM-DD - recent: number of most recent periods Key response fields (German names): - erwerbstaetige: persons in employment (seasonally adjusted) - sv_beschaeftigte: employees subject to social insurance contributions - geringfuegig_beschaeftigte: marginally employed (mini-jobs)
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输入模式 
{'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'properties': {'end': {'type': 'string'}, 'limit': {'type': 'integer', 'maximum': 1000, 'minimum': 1, 'description': 'Maximale Anzahl Ergebnisse (öffentlich bis 1000)'}, 'start': {'type': 'string'}, 'fields': {'type': 'string'}, 'recent': {'type': ['string', 'number']}, 'include': {'type': 'string'}}}
macro_labor_short_time_work
Short-Time Work
Short-time work (Kurzarbeit) statistics. Source: Bundesbank. Parameters: - start/end: YYYY-MM-DD - recent: number of most recent periods Key response fields (German names): - kurzarbeiter: short-time workers (seasonally adjusted)
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输入模式 
{'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'properties': {'end': {'type': 'string'}, 'limit': {'type': 'integer', 'maximum': 1000, 'minimum': 1, 'description': 'Maximale Anzahl Ergebnisse (öffentlich bis 1000)'}, 'start': {'type': 'string'}, 'fields': {'type': 'string'}, 'recent': {'type': ['string', 'number']}, 'include': {'type': 'string'}}}
macro_labor_unemployment
Unemployment
Unemployment statistics. Source: Bundesbank. Parameters: - start/end: YYYY-MM-DD - recent: number of most recent periods Key response fields (German names): - arbeitslose: registered unemployed (seasonally adjusted) - arbeitslosenquote: unemployment rate (%)
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输入模式 
{'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'properties': {'end': {'type': 'string'}, 'limit': {'type': 'integer', 'maximum': 1000, 'minimum': 1, 'description': 'Maximale Anzahl Ergebnisse (öffentlich bis 1000)'}, 'start': {'type': 'string'}, 'fields': {'type': 'string'}, 'recent': {'type': ['string', 'number']}, 'include': {'type': 'string'}}}
macro_mortgage_lending
Mortgage Rates
Mortgage rates for residential housing loans. Source: Bundesbank. Parameters: - start/end: YYYY-MM-DD - recent: number of most recent periods - limit, fields, include: "metadata" Key response fields (German names): - zinssatz_gesamt: average rate across all fixed-interest periods - zinssatz_5_bis_10j: rate for 5-10 year fixed-interest periods - zinssatz_ueber_10j: rate for fixed-interest periods over 10 years - volumen_gesamt: new lending volume
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输入模式 
{'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'properties': {'end': {'type': 'string'}, 'limit': {'type': 'integer', 'maximum': 1000, 'minimum': 1, 'description': 'Maximale Anzahl Ergebnisse (öffentlich bis 1000)'}, 'start': {'type': 'string'}, 'fields': {'type': 'string'}, 'recent': {'type': ['string', 'number']}, 'include': {'type': 'string'}}}
market_berlin_apartment_buildings
Berlin Apartment Buildings
Berlin apartment building market (rental buildings, "Zinshäuser") - transaction data. Source: transaction data from the Berlin committee of valuation experts (GAA, Gutachterausschuss). Parameters: - rbs: "stadt" | "bezirk" | "stadtteil" | "ortsteil" — bezirk = Borough, ortsteil = District Time filters: - start/end: flexible date values (YYYY, YYYY-MM, YYYY-MM-DD) - recent: number of most recent periods (alternative to start/end) Additional filters: - bezirk_id, stadtteil_id, ortsteil_id - limit, fields, include: "metadata" Key response fields: - transaktionspreis: average total purchase price (€) - transaktionen: number of transactions - vielfaches: purchase price multiplier (purchase price / annual net cold rent) - vielfaches_delta_*j: absolute change of the multiplier (1y, 5y, 10y, 15y) - transaktionspreis_m2: price per m² of living space Ideal for: investment market analysis, yield comparisons across locations
只读 可访问外部资源 幂等
输入模式 
{'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'properties': {'end': {'type': 'string'}, 'rbs': {'enum': ['stadt', 'bezirk', 'ortsteil'], 'type': 'string', 'default': 'stadt'}, 'limit': {'type': 'integer', 'maximum': 1000, 'minimum': 1, 'description': 'Maximale Anzahl Ergebnisse (öffentlich bis 1000)'}, 'start': {'type': 'string'}, 'fields': {'type': 'string'}, 'recent': {'type': ['string', 'number']}, 'include': {'type': 'string'}, 'bezirk_id': {'type': 'string'}, 'ortsteil_id': {'type': 'string'}}}
market_berlin_apartments
Berlin Apartments
Berlin apartment market data (listings + transactions). Sources: listing/offer data (IMV) + transaction data from the Berlin committee of valuation experts (GAA, Gutachterausschuss). Parameters: - zeitraum: "jahr" (default) | "monat" | "quartal" (abgeschlossene Quartale) - jahr: transaction data (GAA) + listing data (IMV), finest level: block - monat: listing data (IMV) only, finest level: District (Ortsteil) - quartal: listing data (IMV) only, closed quarters, finest level: District (Ortsteil) - rbs: spatial aggregation level — bezirk = Borough, ortsteil = District, planungsraum = Neighborhood (LOR Planungsraum) - For zeitraum=jahr: "stadt" | "bezirk" | "stadtteil" | "ortsteil" | "planungsraum" | "block" - For zeitraum=monat or quartal: "stadt" | "bezirk" | "stadtteil" | "ortsteil" Time filters: - start/end: flexible date values (YYYY, YYYY-MM, YYYY-MM-DD) - recent: number of most recent periods (alternative to start/end) Additional filters: - bezirk_id, stadtteil_id, ortsteil_id, planungsraum_id, block_id - baualtertyp: "neubau" (new construction) | "bestand" (existing stock) - limit, fields, include: "metadata" Key response fields (depending on zeitraum): - zeitraum=jahr: transaktionspreis_m2 (transaction price per m²), anzahl_transaktionen (number of transactions), kaufangebotspreis_m2 (asking sale price per m²), mietangebotspreis_m2 (asking rent per m²) - zeitraum=monat: kaufangebotspreis_m2, anzahl_kaufangebote (number of sale listings), kaufangebot_vermarktungszeit (time on market)
只读 可访问外部资源 幂等
输入模式 
{'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'properties': {'end': {'type': 'string'}, 'rbs': {'enum': ['stadt', 'bezirk', 'ortsteil', 'planungsraum'], 'type': 'string', 'default': 'stadt'}, 'limit': {'type': 'integer', 'maximum': 1000, 'minimum': 1, 'description': 'Maximale Anzahl Ergebnisse (öffentlich bis 1000)'}, 'start': {'type': 'string'}, 'fields': {'type': 'string'}, 'recent': {'type': ['string', 'number']}, 'include': {'type': 'string'}, 'bezirk_id': {'type': 'string'}, 'baualtertyp': {'enum': ['bestand', 'neubau'], 'type': 'string'}, 'ortsteil_id': {'type': 'string'}, 'planungsraum_id': {'type': 'string'}}}
market_germany_apartment_buildings
Germany Apartment Buildings
National price index data for the German apartment building market. Source: vdp. Quarterly data for apartment buildings (rental buildings, "Mehrfamilienhäuser") across Germany. Time filters: - start/end: flexible date values (YYYY, YYYY-MM, YYYY-MM-DD) - recent: number of most recent periods (quarters) Response controls: - limit, fields, include: "metadata" Key response fields: - preisindex: price index for apartment buildings - preisindex_delta_1q: quarter-over-quarter change - preisindex_delta_1j: year-over-year change
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输入模式 
{'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'properties': {'end': {'type': 'string', 'description': 'Ende des Zeitraums (YYYY, YYYY-MM oder YYYY-MM-DD)'}, 'limit': {'type': 'integer', 'maximum': 1000, 'minimum': 1, 'description': 'Maximale Anzahl Ergebnisse (öffentlich bis 1000)'}, 'start': {'type': 'string', 'description': 'Beginn des Zeitraums (YYYY, YYYY-MM oder YYYY-MM-DD)'}, 'fields': {'type': 'string', 'description': 'Komma-getrennte Feldnamen'}, 'recent': {'type': 'integer', 'maximum': 9007199254740991, 'description': 'Anzahl der aktuellsten Perioden', 'exclusiveMinimum': 0}, 'include': {'type': 'string', 'description': 'metadata für Feld-Metadaten inline'}}}
market_germany_residential
Germany Residential
National market data for the German residential real estate market. Sources: DESTATIS, vdp, HYPOPORT. Includes price AND transaction indices for various market segments. Parameters: - zeitraum: "jahr" (default) | "quartal" - jahr: all price and transaction indices, regional and per source - quartal: only the Germany-wide price indices of DESTATIS, vdp and HYPOPORT, current up to the second-to-last quarter; periode like "2026-Q2"; DESTATIS arrives one quarter after the other two Time filters: - start/end: flexible date values (YYYY, YYYY-MM, YYYY-MM-DD) - recent: number of most recent periods (years or quarters) Response controls: - limit, fields, include: "metadata" Key response fields: PRICE INDICES: - preisindex_gesamt_destatis, preisindex_gesamt_vdp, preisindex_gesamt_hypoport (overall price index per source) - preisindex_landkreise_kreisfreie_staedte (all districts), preisindex_grossstaedte_top_7 (top-7 major cities), preisindex_staedte_top_127 (top-127 cities) (zeitraum=jahr only) - *_delta_1j / *_delta_proz_1j: change vs. previous year (quarterly: vs. same quarter a year earlier) - *_delta_1q / *_delta_proz_1q: change vs. previous quarter (zeitraum=quartal only) TRANSACTION INDICES (zeitraum=jahr only): - transaktionsindex_landkreise_kreisfreie_staedte, transaktionsindex_grossstaedte_top_7, transaktionsindex_staedte_top_127
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输入模式 
{'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'properties': {'end': {'type': 'string', 'description': 'Ende des Zeitraums (YYYY, YYYY-MM oder YYYY-MM-DD)'}, 'limit': {'type': 'integer', 'maximum': 1000, 'minimum': 1, 'description': 'Maximale Anzahl Ergebnisse (öffentlich bis 1000)'}, 'start': {'type': 'string', 'description': 'Beginn des Zeitraums (YYYY, YYYY-MM oder YYYY-MM-DD)'}, 'fields': {'type': 'string', 'description': 'Komma-getrennte Feldnamen'}, 'recent': {'type': 'integer', 'maximum': 9007199254740991, 'description': 'Anzahl der aktuellsten Perioden', 'exclusiveMinimum': 0}, 'include': {'type': 'string', 'description': 'metadata für Feld-Metadaten inline'}, 'zeitraum': {'enum': ['jahr', 'quartal'], 'type': 'string', 'default': 'jahr'}}}
search
Search guthmann.estate
Semantic search over guthmann.estate — market insights, reports, neighborhood portraits, listing exposés, project pages and the company's own pages. Hybrid retrieval (vector + keyword, no reranking); one result per page with title, description, image, best-matching snippet and score. Use it for questions that need prose (analysis, context, advice); use the data tools for exact numbers and `listings` for what is currently for sale — the search index follows the website with up to six hours of delay. Parameters: - q: natural-language query, in the language of the pages you want (min 2 characters) - locale: "de" | "en" — language of the indexed pages (default: en) - section: comma-separated filter — "listings" (exposés), "projects" (new-build projects), "market-intelligence" (insights, reports, portraits), "pages" (company, services, guides); omit for all - limit: 1-20 pages (default: 10) Key response fields: - url, title, description, image, section, language - snippet (best-matching text passage), score (0-1)
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输入模式 
{'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'required': ['q'], 'properties': {'q': {'type': 'string', 'maxLength': 200, 'minLength': 2}, 'limit': {'type': 'integer', 'maximum': 20, 'minimum': 1, 'description': 'Maximale Anzahl Ergebnisse (öffentlich bis 20)'}, 'locale': {'enum': ['de', 'en'], 'type': 'string', 'default': 'en'}, 'section': {'type': 'string', 'pattern': '^(listings|projects|market-intelligence|pages)(,(listings|projects|market-intelligence|pages))*$'}}}
socio_berlin_age_groups
Population by Age Group
Berlin population by 8 age groups, additionally by population group. Source: Amt für Statistik Berlin-Brandenburg. Parameters: - rbs: "stadt" (city) | "bezirk" (Borough) | "stadtteil" | "ortsteil" (District) | "planungsraum" (Neighborhood, LOR Planungsraum) - bevoelkerungsgruppe: "alle" (all) | "mit_migrationshintergrund" (with migration background) (optional) - altersgruppe: age group, e.g. "alter_unter_6", "alter_65_und_mehr" (optional) - bezirk_id, stadtteil_id, ortsteil_id, planungsraum_id: geographic filters - start/end, recent, limit, fields, include: "metadata" Key response fields: - bevoelkerungsgruppe_id/_name (population group), altersgruppe_id/_name (age group), anzahl_einwohner (number of residents)
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输入模式 
{'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'properties': {'end': {'type': 'string', 'description': 'Ende (YYYY, YYYY-MM, YYYY-MM-DD)'}, 'rbs': {'enum': ['stadt', 'bezirk', 'ortsteil'], 'type': 'string', 'default': 'stadt'}, 'limit': {'type': 'integer', 'maximum': 1000, 'minimum': 1, 'description': 'Maximale Anzahl Ergebnisse (öffentlich bis 1000)'}, 'start': {'type': 'string', 'description': 'Beginn (YYYY, YYYY-MM, YYYY-MM-DD)'}, 'fields': {'type': 'string', 'description': 'Komma-getrennte Feldnamen'}, 'recent': {'type': 'integer', 'maximum': 9007199254740991, 'description': 'Anzahl der aktuellsten Perioden', 'exclusiveMinimum': 0}, 'include': {'type': 'string', 'description': 'metadata für Feld-Metadaten inline'}, 'bezirk_id': {'type': 'string', 'description': 'Bezirk-ID (2-stellig, z.B. "03")'}, 'ortsteil_id': {'type': 'string', 'description': 'Ortsteil-ID (4-stellig, z.B. "0301")'}, 'altersgruppe': {'type': 'string', 'description': 'Altersgruppe (z.B. alter_unter_6)'}, 'bevoelkerungsgruppe': {'enum': ['alle', 'mit_migrationshintergrund'], 'type': 'string', 'description': 'Bevölkerungsgruppe: alle, mit_migrationshintergrund'}}}
socio_berlin_census_buildings
Census Buildings
Zensus 2022 building data for Berlin. Source: Statistisches Bundesamt, Zensus 2022. Without a category: total number of buildings. With a category: - bauweise: construction type (detached, row house, semi-detached) - eigentumsform: ownership type (private individual, cooperative, municipality) - heizungsart: heating type (central heating, per-floor heating, individual stoves) - energietraeger: energy source (gas, oil, district heating, electricity) Parameters: - rbs: "stadt" (city) | "bezirk" (Borough) | "stadtteil" | "ortsteil" (District) | "planungsraum" (Neighborhood, LOR Planungsraum) - kategorie: "bauweise" | "eigentumsform" | "heizungsart" | "energietraeger" (optional) - bezirk_id, stadtteil_id, ortsteil_id, planungsraum_id: geographic filters - start/end, recent, limit, fields, include: "metadata"
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输入模式 
{'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'properties': {'end': {'type': 'string', 'description': 'Ende (YYYY, YYYY-MM, YYYY-MM-DD)'}, 'rbs': {'enum': ['stadt', 'bezirk', 'ortsteil'], 'type': 'string', 'default': 'stadt'}, 'limit': {'type': 'integer', 'maximum': 1000, 'minimum': 1, 'description': 'Maximale Anzahl Ergebnisse (öffentlich bis 1000)'}, 'start': {'type': 'string', 'description': 'Beginn (YYYY, YYYY-MM, YYYY-MM-DD)'}, 'fields': {'type': 'string', 'description': 'Komma-getrennte Feldnamen'}, 'recent': {'type': 'integer', 'maximum': 9007199254740991, 'description': 'Anzahl der aktuellsten Perioden', 'exclusiveMinimum': 0}, 'include': {'type': 'string', 'description': 'metadata für Feld-Metadaten inline'}, 'bezirk_id': {'type': 'string', 'description': 'Bezirk-ID (2-stellig, z.B. "03")'}, 'kategorie': {'enum': ['bauweise', 'eigentumsform', 'heizungsart', 'energietraeger'], 'type': 'string', 'description': 'Kategorie: bauweise, eigentumsform, heizungsart, energietraeger'}, 'ortsteil_id': {'type': 'string', 'description': 'Ortsteil-ID (4-stellig, z.B. "0301")'}}}
socio_berlin_census_dwellings
Census Dwelling Stock
Zensus 2022 dwelling stock data for Berlin. Source: Statistisches Bundesamt, Zensus 2022. Without a category: total number of dwellings. With a category: - raeume: breakdown by number of rooms - flaeche: breakdown by floor-area cluster (under 40 m², 40-59 m², etc.) - nutzung: breakdown by type of use (owner-occupied, rented, vacant) Parameters: - rbs: "stadt" (city) | "bezirk" (Borough) | "stadtteil" | "ortsteil" (District) | "planungsraum" (Neighborhood, LOR Planungsraum) - kategorie: "raeume" | "flaeche" | "nutzung" (optional) - bezirk_id, stadtteil_id, ortsteil_id, planungsraum_id: geographic filters - start/end, recent, limit, fields, include: "metadata"
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输入模式 
{'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'properties': {'end': {'type': 'string', 'description': 'Ende (YYYY, YYYY-MM, YYYY-MM-DD)'}, 'rbs': {'enum': ['stadt', 'bezirk', 'ortsteil', 'planungsraum'], 'type': 'string', 'default': 'stadt'}, 'limit': {'type': 'integer', 'maximum': 1000, 'minimum': 1, 'description': 'Maximale Anzahl Ergebnisse (öffentlich bis 1000)'}, 'start': {'type': 'string', 'description': 'Beginn (YYYY, YYYY-MM, YYYY-MM-DD)'}, 'fields': {'type': 'string', 'description': 'Komma-getrennte Feldnamen'}, 'recent': {'type': 'integer', 'maximum': 9007199254740991, 'description': 'Anzahl der aktuellsten Perioden', 'exclusiveMinimum': 0}, 'include': {'type': 'string', 'description': 'metadata für Feld-Metadaten inline'}, 'bezirk_id': {'type': 'string', 'description': 'Bezirk-ID (2-stellig, z.B. "03")'}, 'kategorie': {'enum': ['raeume', 'flaeche', 'nutzung'], 'type': 'string', 'description': 'Kategorie: raeume, flaeche, nutzung'}, 'ortsteil_id': {'type': 'string', 'description': 'Ortsteil-ID (4-stellig, z.B. "0301")'}, 'planungsraum_id': {'type': 'string', 'description': 'Planungsraum-ID (8-stellig)'}}}
socio_berlin_census_households
Census Households
Zensus 2022 household data for Berlin. Source: Statistisches Bundesamt, Zensus 2022. Without a category: total number of households. With a category: - groesse: household size (1 person, 2 persons, etc.) - wohndauer: length of residence (under 1 year, 1-5 years, etc.) Parameters: - rbs: "stadt" (city) | "bezirk" (Borough) | "stadtteil" | "ortsteil" (District) | "planungsraum" (Neighborhood, LOR Planungsraum) - kategorie: "groesse" | "wohndauer" (optional) - bezirk_id, stadtteil_id, ortsteil_id, planungsraum_id: geographic filters - start/end, recent, limit, fields, include: "metadata"
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输入模式 
{'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'properties': {'end': {'type': 'string', 'description': 'Ende (YYYY, YYYY-MM, YYYY-MM-DD)'}, 'rbs': {'enum': ['stadt', 'bezirk', 'ortsteil'], 'type': 'string', 'default': 'stadt'}, 'limit': {'type': 'integer', 'maximum': 1000, 'minimum': 1, 'description': 'Maximale Anzahl Ergebnisse (öffentlich bis 1000)'}, 'start': {'type': 'string', 'description': 'Beginn (YYYY, YYYY-MM, YYYY-MM-DD)'}, 'fields': {'type': 'string', 'description': 'Komma-getrennte Feldnamen'}, 'recent': {'type': 'integer', 'maximum': 9007199254740991, 'description': 'Anzahl der aktuellsten Perioden', 'exclusiveMinimum': 0}, 'include': {'type': 'string', 'description': 'metadata für Feld-Metadaten inline'}, 'bezirk_id': {'type': 'string', 'description': 'Bezirk-ID (2-stellig, z.B. "03")'}, 'kategorie': {'enum': ['groesse', 'wohndauer'], 'type': 'string', 'description': 'Kategorie: groesse, wohndauer'}, 'ortsteil_id': {'type': 'string', 'description': 'Ortsteil-ID (4-stellig, z.B. "0301")'}}}
socio_berlin_census_rents
Census Rents
Zensus 2022 rent data for Berlin. Source: Statistisches Bundesamt, Zensus 2022. Without a category: weighted average across all dwellings (net cold rent, net cold rent per m², count). With category "flaeche": rent per m² by floor-area cluster. Parameters: - rbs: "stadt" (city) | "bezirk" (Borough) | "stadtteil" | "ortsteil" (District) | "planungsraum" (Neighborhood, LOR Planungsraum) - kategorie: "flaeche" (optional) - bezirk_id, stadtteil_id, ortsteil_id, planungsraum_id: geographic filters - start/end, recent, limit, fields, include: "metadata" Key response fields: - nettokaltmiete: average net cold rent (EUR) - nettokaltmiete_m2: net cold rent per m² (EUR) - anzahl_wohnungen: number of dwellings
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输入模式 
{'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'properties': {'end': {'type': 'string', 'description': 'Ende (YYYY, YYYY-MM, YYYY-MM-DD)'}, 'rbs': {'enum': ['stadt', 'bezirk', 'ortsteil'], 'type': 'string', 'default': 'stadt'}, 'limit': {'type': 'integer', 'maximum': 1000, 'minimum': 1, 'description': 'Maximale Anzahl Ergebnisse (öffentlich bis 1000)'}, 'start': {'type': 'string', 'description': 'Beginn (YYYY, YYYY-MM, YYYY-MM-DD)'}, 'fields': {'type': 'string', 'description': 'Komma-getrennte Feldnamen'}, 'recent': {'type': 'integer', 'maximum': 9007199254740991, 'description': 'Anzahl der aktuellsten Perioden', 'exclusiveMinimum': 0}, 'include': {'type': 'string', 'description': 'metadata für Feld-Metadaten inline'}, 'bezirk_id': {'type': 'string', 'description': 'Bezirk-ID (2-stellig, z.B. "03")'}, 'kategorie': {'enum': ['flaeche'], 'type': 'string', 'description': 'Kategorie: flaeche. Ohne: Gesamtdurchschnitt'}, 'ortsteil_id': {'type': 'string', 'description': 'Ortsteil-ID (4-stellig, z.B. "0301")'}}}
socio_berlin_census_vacancy
Census Dwelling Vacancy
Zensus 2022 dwelling vacancy data for Berlin. Source: Statistisches Bundesamt, Zensus 2022. Breakdown by vacancy category (duration or reason). Parameters: - rbs: "stadt" (city) | "bezirk" (Borough) | "stadtteil" | "ortsteil" (District) | "planungsraum" (Neighborhood, LOR Planungsraum) - kategorie: "dauer" (duration) | "grund" (reason) (optional) - bezirk_id, stadtteil_id, ortsteil_id, planungsraum_id: geographic filters - start/end, recent, limit, fields, include: "metadata" Key response fields: - kategorie_id, kategorie_label: vacancy category - anzahl: number of vacant dwellings
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输入模式 
{'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'properties': {'end': {'type': 'string', 'description': 'Ende (YYYY, YYYY-MM, YYYY-MM-DD)'}, 'rbs': {'enum': ['stadt', 'bezirk', 'ortsteil'], 'type': 'string', 'default': 'stadt'}, 'limit': {'type': 'integer', 'maximum': 1000, 'minimum': 1, 'description': 'Maximale Anzahl Ergebnisse (öffentlich bis 1000)'}, 'start': {'type': 'string', 'description': 'Beginn (YYYY, YYYY-MM, YYYY-MM-DD)'}, 'fields': {'type': 'string', 'description': 'Komma-getrennte Feldnamen'}, 'recent': {'type': 'integer', 'maximum': 9007199254740991, 'description': 'Anzahl der aktuellsten Perioden', 'exclusiveMinimum': 0}, 'include': {'type': 'string', 'description': 'metadata für Feld-Metadaten inline'}, 'bezirk_id': {'type': 'string', 'description': 'Bezirk-ID (2-stellig, z.B. "03")'}, 'kategorie': {'enum': ['dauer', 'grund'], 'type': 'string', 'description': 'Kategorie: dauer, grund'}, 'ortsteil_id': {'type': 'string', 'description': 'Ortsteil-ID (4-stellig, z.B. "0301")'}}}
socio_berlin_construction_activity
Berlin Construction Activity
Construction activity data for Berlin. Source: Amt für Statistik Berlin-Brandenburg. Shows net changes: building balance, dwelling balance, living-space balance. Parameters: - rbs: "stadt" (city) | "bezirk" (Borough) | "stadtteil" | "ortsteil" (District) | "planungsraum" (Neighborhood, LOR Planungsraum) - bezirk_id, stadtteil_id, ortsteil_id, planungsraum_id: geographic filters - start/end: period (YYYY, YYYY-MM, YYYY-MM-DD) - recent: number of most recent periods - limit, fields, include: "metadata" Key response fields: - gebaeude_saldo: net change in number of buildings - wohnungen_saldo: net change in number of dwellings - wohnflaeche_m2_saldo: net change in living space (m²)
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输入模式 
{'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'properties': {'end': {'type': 'string', 'description': 'Ende (YYYY, YYYY-MM, YYYY-MM-DD)'}, 'rbs': {'enum': ['stadt', 'bezirk', 'ortsteil'], 'type': 'string', 'default': 'stadt'}, 'limit': {'type': 'integer', 'maximum': 1000, 'minimum': 1, 'description': 'Maximale Anzahl Ergebnisse (öffentlich bis 1000)'}, 'start': {'type': 'string', 'description': 'Beginn (YYYY, YYYY-MM, YYYY-MM-DD)'}, 'fields': {'type': 'string', 'description': 'Komma-getrennte Feldnamen'}, 'recent': {'type': 'integer', 'maximum': 9007199254740991, 'description': 'Anzahl der aktuellsten Perioden', 'exclusiveMinimum': 0}, 'include': {'type': 'string', 'description': 'metadata für Feld-Metadaten inline'}, 'bezirk_id': {'type': 'string', 'description': 'Bezirk-ID (2-stellig, z.B. "03")'}, 'ortsteil_id': {'type': 'string', 'description': 'Ortsteil-ID (4-stellig, z.B. "0301")'}}}
socio_berlin_migration_external
Berlin External Migration
External migration for Berlin: migration across the city boundary, annual, by nationality. Source: Amt für Statistik Berlin-Brandenburg. Parameters: - rbs: "stadt" (city) | "bezirk" (Borough) | "stadtteil" | "ortsteil" (District) | "planungsraum" (Neighborhood, LOR Planungsraum) - bezirk_id, stadtteil_id, ortsteil_id, planungsraum_id: geographic filters - staat_code: filter by country code (e.g. "000" for Germany) - alpha2: filter by ISO 3166-1 alpha-2 code (e.g. "TR") - start/end, recent, limit, fields, include: "metadata" Key response fields: - zuzuege: move-ins to Berlin - fortzuege: move-outs from Berlin - saldo: net migration (move-ins minus move-outs)
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输入模式 
{'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'properties': {'end': {'type': 'string', 'description': 'Ende (YYYY, YYYY-MM, YYYY-MM-DD)'}, 'rbs': {'enum': ['stadt', 'bezirk', 'ortsteil'], 'type': 'string', 'default': 'stadt'}, 'limit': {'type': 'integer', 'maximum': 1000, 'minimum': 1, 'description': 'Maximale Anzahl Ergebnisse (öffentlich bis 1000)'}, 'start': {'type': 'string', 'description': 'Beginn (YYYY, YYYY-MM, YYYY-MM-DD)'}, 'alpha2': {'type': 'string', 'description': 'ISO 3166-1 Alpha-2 (z.B. "TR")'}, 'fields': {'type': 'string', 'description': 'Komma-getrennte Feldnamen'}, 'recent': {'type': 'integer', 'maximum': 9007199254740991, 'description': 'Anzahl der aktuellsten Perioden', 'exclusiveMinimum': 0}, 'include': {'type': 'string', 'description': 'metadata für Feld-Metadaten inline'}, 'bezirk_id': {'type': 'string', 'description': 'Bezirk-ID (2-stellig, z.B. "03")'}, 'staat_code': {'type': 'string', 'description': 'Staatencode (3-stellig, z.B. "000")'}, 'ortsteil_id': {'type': 'string', 'description': 'Ortsteil-ID (4-stellig, z.B. "0301")'}}}
socio_berlin_migration_matrix
Berlin Migration Matrix
Migration matrix for Berlin: migration flows between areas (moves within Berlin, annual). The RBS level applies to both origin and destination. Source: Amt für Statistik Berlin-Brandenburg. Parameters: - rbs: "stadt" (city) | "bezirk" (Borough) | "stadtteil" | "ortsteil" (District) | "planungsraum" (Neighborhood, LOR Planungsraum) (default: bezirk) - von_rbs_id: filter by origin-area ID - nach_rbs_id: filter by destination-area ID - min_personen: lower bound on number of persons (default 1) - start/end, recent, limit, fields, include: "metadata" Key response fields: - von_rbs_id/von_rbs_name: origin area - nach_rbs_id/nach_rbs_name: destination area - anzahl_personen: number of moves
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输入模式 
{'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'properties': {'end': {'type': 'string', 'description': 'Ende (YYYY, YYYY-MM, YYYY-MM-DD)'}, 'rbs': {'enum': ['bezirk', 'ortsteil'], 'type': 'string', 'default': 'bezirk'}, 'limit': {'type': 'integer', 'maximum': 1000, 'minimum': 1, 'description': 'Maximale Anzahl Ergebnisse (öffentlich bis 1000)'}, 'start': {'type': 'string', 'description': 'Beginn (YYYY, YYYY-MM, YYYY-MM-DD)'}, 'fields': {'type': 'string', 'description': 'Komma-getrennte Feldnamen'}, 'recent': {'type': 'integer', 'maximum': 9007199254740991, 'description': 'Anzahl der aktuellsten Perioden', 'exclusiveMinimum': 0}, 'include': {'type': 'string', 'description': 'metadata für Feld-Metadaten inline'}, 'von_rbs_id': {'type': 'string', 'description': 'Filter Herkunftsraum-ID'}, 'nach_rbs_id': {'type': 'string', 'description': 'Filter Zielraum-ID'}, 'min_personen': {'type': 'integer', 'maximum': 9007199254740991, 'description': 'Untere Schranke Anzahl Personen (Default 1)', 'exclusiveMinimum': 0}}}
socio_berlin_origin
Population by Origin
Berlin population with a migration background, by area of origin. Source: Amt für Statistik Berlin-Brandenburg. ⚠️ herkunft_ebene: "eu_gesamt" is the aggregate over the individual "eu_land" entries. The default (drittland,eu_gesamt,nicht_zuordenbar) prevents double-counting EU countries. Parameters: - rbs: "stadt" (city) | "bezirk" (Borough) | "stadtteil" | "ortsteil" (District) | "planungsraum" (Neighborhood, LOR Planungsraum) - herkunft_ebene: origin level, comma-separated, e.g. "drittland,eu_gesamt" (optional; default prevents double counting) - herkunftsgebiet: area of origin, e.g. "tuerkei", "ukraine", "eu" (optional) - top: top N areas of origin by count (optional) - bezirk_id, stadtteil_id, ortsteil_id, planungsraum_id: geographic filters - start/end, recent, limit, fields, include: "metadata" Key response fields: - herkunftsgebiet_id/_name (area of origin), herkunft_ebene (origin level), anzahl_einwohner_mit_migrationshintergrund (residents with a migration background)
只读 可访问外部资源 幂等
输入模式 
{'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'properties': {'end': {'type': 'string', 'description': 'Ende (YYYY, YYYY-MM, YYYY-MM-DD)'}, 'rbs': {'enum': ['stadt', 'bezirk', 'ortsteil'], 'type': 'string', 'default': 'stadt'}, 'top': {'type': 'integer', 'maximum': 9007199254740991, 'description': 'Top-N Herkunftsgebiete nach Anzahl', 'exclusiveMinimum': 0}, 'limit': {'type': 'integer', 'maximum': 1000, 'minimum': 1, 'description': 'Maximale Anzahl Ergebnisse (öffentlich bis 1000)'}, 'start': {'type': 'string', 'description': 'Beginn (YYYY, YYYY-MM, YYYY-MM-DD)'}, 'fields': {'type': 'string', 'description': 'Komma-getrennte Feldnamen'}, 'recent': {'type': 'integer', 'maximum': 9007199254740991, 'description': 'Anzahl der aktuellsten Perioden', 'exclusiveMinimum': 0}, 'include': {'type': 'string', 'description': 'metadata für Feld-Metadaten inline'}, 'bezirk_id': {'type': 'string', 'description': 'Bezirk-ID (2-stellig, z.B. "03")'}, 'ortsteil_id': {'type': 'string', 'description': 'Ortsteil-ID (4-stellig, z.B. "0301")'}, 'stadtteil_id': {'type': 'string', 'description': 'Stadtteil-ID (2-stellig)'}, 'herkunftsgebiet': {'type': 'string', 'description': 'Herkunftsgebiet (z.B. tuerkei, ukraine, eu)'}, 'planungsraum_id': {'type': 'string', 'description': 'Planungsraum-ID (8-stellig)'}}}
socio_berlin_population
Berlin Population
Population stock for Berlin (headline figures) at the Neighborhood level (LOR Planungsraum), semi-annual. Source: Amt für Statistik Berlin-Brandenburg. Parameters: - rbs: "stadt" (city) | "bezirk" (Borough) | "stadtteil" | "ortsteil" (District) | "planungsraum" (Neighborhood) - bezirk_id, stadtteil_id, ortsteil_id, planungsraum_id: geographic filters - start/end, recent, limit, fields, include: "metadata" Key response fields: - einwohner_gesamt (total population), einwohner_maennlich/_weiblich (male/female) - einwohner_deutsch/_auslaendisch (German/foreign nationals), einwohner_ohne/_mit_migrationshintergrund (without/with migration background) - frauen_anteil, auslaender_anteil, migrationshintergrund_anteil: shares of women, foreign nationals, migration background (0–1)
只读 可访问外部资源 幂等
输入模式 
{'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'properties': {'end': {'type': 'string', 'description': 'Ende (YYYY, YYYY-MM, YYYY-MM-DD)'}, 'rbs': {'enum': ['stadt', 'bezirk', 'ortsteil', 'planungsraum'], 'type': 'string', 'default': 'stadt'}, 'limit': {'type': 'integer', 'maximum': 1000, 'minimum': 1, 'description': 'Maximale Anzahl Ergebnisse (öffentlich bis 1000)'}, 'start': {'type': 'string', 'description': 'Beginn (YYYY, YYYY-MM, YYYY-MM-DD)'}, 'fields': {'type': 'string', 'description': 'Komma-getrennte Feldnamen'}, 'recent': {'type': 'integer', 'maximum': 9007199254740991, 'description': 'Anzahl der aktuellsten Perioden', 'exclusiveMinimum': 0}, 'include': {'type': 'string', 'description': 'metadata für Feld-Metadaten inline'}, 'bezirk_id': {'type': 'string', 'description': 'Bezirk-ID (2-stellig, z.B. "03")'}, 'ortsteil_id': {'type': 'string', 'description': 'Ortsteil-ID (4-stellig, z.B. "0301")'}, 'planungsraum_id': {'type': 'string', 'description': 'Planungsraum-ID (8-stellig)'}}}
历史

近期工具变更

已更改
market_germany_residential
2026年10月3日 02:51
已更改
berlin_districts
2026年10月1日 02:43
已添加
search
2026年9月17日 12:39
已添加
socio_berlin_census_households
2026年9月17日 12:39
已添加
socio_berlin_census_buildings
2026年9月17日 12:39
已添加
socio_berlin_census_rents
2026年9月17日 12:39
已添加
socio_berlin_census_vacancy
2026年9月17日 12:39
已添加
socio_berlin_census_dwellings
2026年9月17日 12:39
已添加
socio_berlin_origin
2026年9月17日 12:39
已添加
socio_berlin_age_groups
2026年9月17日 12:39
已添加
socio_berlin_population
2026年9月17日 12:39
已添加
socio_berlin_migration_matrix
2026年9月17日 12:39
已添加
socio_berlin_migration_external
2026年9月17日 12:39
已添加
socio_berlin_construction_activity
2026年9月17日 12:39
已添加
field_metadata
2026年9月17日 12:39
已添加
macro_gdp
2026年9月17日 12:39
已添加
macro_construction_prices
2026年9月17日 12:39
已添加
macro_inflation_hicp
2026年9月17日 12:39
已添加
macro_labor_short_time_work
2026年9月17日 12:39
已添加
macro_labor_employment
2026年9月17日 12:39
已添加
macro_labor_unemployment
2026年9月17日 12:39
已添加
macro_bund_yields
2026年9月17日 12:39
已添加
macro_mortgage_lending
2026年9月17日 12:39
已添加
macro_ecb_policy_rates
2026年9月17日 12:39
已添加
listing_details
2026年9月17日 12:39
已添加
listings
2026年9月17日 12:39
已添加
market_germany_apartment_buildings
2026年9月17日 12:39
已添加
market_germany_residential
2026年9月17日 12:39
已添加
market_berlin_apartment_buildings
2026年9月17日 12:39
已添加
market_berlin_apartments
2026年9月17日 12:39
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