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GUTHMANN® Berlin Real Estate

Berlin real estate for AI agents: granular market data and property search, free, by GUTHMANN®.

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Calidad y seguridad

B
Calidad de la descripción
98%
Integridad del esquema
80%
Calidad de los nombres
79%
Riesgo de envenenamiento
80%
Coincidencia de permisos
100%
Cumplimiento del protocolo
100%

Hallazgos (9)

  • HIGHTool poisoning patterns detected
  • LOWTool 'berlin_borough_details' description lacks action verben berlin_borough_details
  • LOWTool 'berlin_district_details' description lacks action verben berlin_district_details
  • LOWTool 'berlin_conservation_area_details' name length outside 3-30 rangeen berlin_conservation_area_details
  • LOWTool 'market_berlin_apartment_buildings' name length outside 3-30 rangeen market_berlin_apartment_buildings
  • LOWTool 'market_germany_apartment_buildings' name length outside 3-30 rangeen market_germany_apartment_buildings
  • LOWTool 'socio_berlin_construction_activity' name length outside 3-30 rangeen socio_berlin_construction_activity
  • LOWTool 'socio_berlin_migration_external' name length outside 3-30 rangeen socio_berlin_migration_external
  • LOWTool description contains role marker that could confuse chat modelsen field_metadata

Basado en el análisis automatizado de las definiciones de herramientas y el cumplimiento del protocolo.

Costo de contexto

~14,568Tokens (definiciones de herramientas)
~1.8 KBTamaño de respuesta típico
Impacto significativo en la atención (11.38% del contexto de 128k)

Este es el número aproximado de tokens que se consumen cada vez que las herramientas del servidor se cargan en el contexto de un modelo. Los recuentos más altos reducen la atención disponible para otras tareas.

Instalar

Instalación con un clic

Agrega esto a tu archivo `claude_desktop_config.json`:

{
  "mcpServers": {
    "mcp": {
      "url": "https://mcp.guthmann.estate/mcp"
    }
  }
}

Puntos de conexión remotos

https://mcp.guthmann.estate/mcpstreamable-http

Qué puede hacer

Inventario de herramientas

Herramientas (37)

🟢 Solo lectura🟡 Escritura🔴 Eliminación⚪ Desconocido
🟢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

Esquema de entrada

{
  "type": "object",
  "properties": {},
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢berlin_borough_details(bezirk_id, ortsteile, include)

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.)

Esquema de entrada

{
  "type": "object",
  "properties": {
    "bezirk_id": {
      "type": "string",
      "pattern": "^\\d{2}$"
    },
    "ortsteile": {
      "default": "false",
      "type": "string",
      "enum": [
        "true",
        "false"
      ]
    },
    "include": {
      "type": "string"
    }
  },
  "required": [
    "bezirk_id"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢berlin_districts(bezirke, bezirk_id, include)

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)

Esquema de entrada

{
  "type": "object",
  "properties": {
    "bezirke": {
      "default": "false",
      "type": "string",
      "enum": [
        "true",
        "false"
      ]
    },
    "bezirk_id": {
      "type": "string",
      "pattern": "^\\d{2}$"
    },
    "include": {
      "type": "string"
    }
  },
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢berlin_district_details(ortsteil_id, planungsraeume, include)

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)

Esquema de entrada

{
  "type": "object",
  "properties": {
    "ortsteil_id": {
      "type": "string",
      "pattern": "^\\d{4}$"
    },
    "planungsraeume": {
      "default": "false",
      "type": "string",
      "enum": [
        "true",
        "false"
      ]
    },
    "include": {
      "type": "string"
    }
  },
  "required": [
    "ortsteil_id"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢berlin_neighborhoods(bezirke, ortsteile, bezirk_id, ortsteil_id, include)

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.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "bezirke": {
      "default": "false",
      "type": "string",
      "enum": [
        "true",
        "false"
      ]
    },
    "ortsteile": {
      "default": "false",
      "type": "string",
      "enum": [
        "true",
        "false"
      ]
    },
    "bezirk_id": {
      "type": "string",
      "pattern": "^\\d{2}$"
    },
    "ortsteil_id": {
      "type": "string",
      "pattern": "^\\d{4}$"
    },
    "include": {
      "type": "string"
    }
  },
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢berlin_neighborhood_search(q, limit, bezirke, ortsteile, bezirk_id, ...)

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

Esquema de entrada

{
  "type": "object",
  "properties": {
    "q": {
      "type": "string",
      "minLength": 3
    },
    "limit": {
      "description": "Maximale Anzahl Ergebnisse (öffentlich bis 1000)",
      "type": "integer",
      "minimum": 1,
      "maximum": 1000
    },
    "bezirke": {
      "default": "false",
      "type": "string",
      "enum": [
        "true",
        "false"
      ]
    },
    "ortsteile": {
      "default": "false",
      "type": "string",
      "enum": [
        "true",
        "false"
      ]
    },
    "bezirk_id": {
      "type": "string",
      "pattern": "^\\d{2}$"
    },
    "ortsteil_id": {
      "type": "string",
      "pattern": "^\\d{4}$"
    },
    "include": {
      "type": "string"
    }
  },
  "required": [
    "q"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢berlin_neighborhood_details(planungsraum_id, include)

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)

Esquema de entrada

{
  "type": "object",
  "properties": {
    "planungsraum_id": {
      "type": "string",
      "pattern": "^\\d{8}$"
    },
    "include": {
      "type": "string"
    }
  },
  "required": [
    "planungsraum_id"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢berlin_conservation_areas(kategorie_id, erweiterungen, include, lat, lon)

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.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "kategorie_id": {
      "description": "Filter nach Kategorie",
      "type": "string",
      "enum": [
        "erhaltungsgebiet",
        "erweiterung",
        "aufstellungsbeschluss",
        "untersuchungsgebiet",
        "beobachtungsgebiet",
        "aufgehoben"
      ]
    },
    "erweiterungen": {
      "description": "Erweiterungen als nested Array einbetten",
      "type": "string",
      "enum": [
        "true",
        "false"
      ]
    },
    "include": {
      "description": "Geo-Attribute: centroid. Polygone kommen als GeoJSON-URLs in geometry_urls",
      "type": "string",
      "enum": [
        "centroid"
      ]
    },
    "lat": {
      "description": "Breitengrad WGS84 für Punkt-Lookup (mit lon)",
      "type": "number"
    },
    "lon": {
      "description": "Längengrad WGS84 für Punkt-Lookup (mit lat)",
      "type": "number"
    }
  },
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢berlin_conservation_area_details(id, include)

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) }

Esquema de entrada

{
  "type": "object",
  "properties": {
    "id": {
      "type": "string",
      "description": "12-stelliger Hex-String der Gebiets-ID"
    },
    "include": {
      "description": "Geo-Attribute: centroid. Polygone kommen als GeoJSON-URLs in geometry_urls",
      "type": "string",
      "enum": [
        "centroid"
      ]
    }
  },
  "required": [
    "id"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢market_berlin_apartments(rbs, baualtertyp, bezirk_id, ortsteil_id, planungsraum_id, ...)

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)

Esquema de entrada

{
  "type": "object",
  "properties": {
    "rbs": {
      "default": "stadt",
      "type": "string",
      "enum": [
        "stadt",
        "bezirk",
        "ortsteil",
        "planungsraum"
      ]
    },
    "baualtertyp": {
      "type": "string",
      "enum": [
        "bestand",
        "neubau"
      ]
    },
    "bezirk_id": {
      "type": "string"
    },
    "ortsteil_id": {
      "type": "string"
    },
    "planungsraum_id": {
      "type": "string"
    },
    "start": {
      "type": "string"
    },
    "end": {
      "type": "string"
    },
    "recent": {
      "type": [
        "string",
        "number"
      ]
    },
    "limit": {
      "description": "Maximale Anzahl Ergebnisse (öffentlich bis 1000)",
      "type": "integer",
      "minimum": 1,
      "maximum": 1000
    },
    "fields": {
      "type": "string"
    },
    "include": {
      "type": "string"
    }
  },
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢market_berlin_apartment_buildings(rbs, bezirk_id, ortsteil_id, start, end, ...)

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

Esquema de entrada

{
  "type": "object",
  "properties": {
    "rbs": {
      "default": "stadt",
      "type": "string",
      "enum": [
        "stadt",
        "bezirk",
        "ortsteil"
      ]
    },
    "bezirk_id": {
      "type": "string"
    },
    "ortsteil_id": {
      "type": "string"
    },
    "start": {
      "type": "string"
    },
    "end": {
      "type": "string"
    },
    "recent": {
      "type": [
        "string",
        "number"
      ]
    },
    "limit": {
      "description": "Maximale Anzahl Ergebnisse (öffentlich bis 1000)",
      "type": "integer",
      "minimum": 1,
      "maximum": 1000
    },
    "fields": {
      "type": "string"
    },
    "include": {
      "type": "string"
    }
  },
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢market_germany_residential(start, end, recent, limit, fields, ...)

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

Esquema de entrada

{
  "type": "object",
  "properties": {
    "start": {
      "description": "Beginn des Zeitraums (YYYY, YYYY-MM oder YYYY-MM-DD)",
      "type": "string"
    },
    "end": {
      "description": "Ende des Zeitraums (YYYY, YYYY-MM oder YYYY-MM-DD)",
      "type": "string"
    },
    "recent": {
      "description": "Anzahl der aktuellsten Perioden",
      "type": "integer",
      "exclusiveMinimum": 0,
      "maximum": 9007199254740991
    },
    "limit": {
      "description": "Maximale Anzahl Ergebnisse (öffentlich bis 1000)",
      "type": "integer",
      "minimum": 1,
      "maximum": 1000
    },
    "fields": {
      "description": "Komma-getrennte Feldnamen",
      "type": "string"
    },
    "include": {
      "description": "metadata für Feld-Metadaten inline",
      "type": "string"
    },
    "zeitraum": {
      "default": "jahr",
      "type": "string",
      "enum": [
        "jahr",
        "quartal"
      ]
    }
  },
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢market_germany_apartment_buildings(start, end, recent, limit, fields, ...)

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

Esquema de entrada

{
  "type": "object",
  "properties": {
    "start": {
      "description": "Beginn des Zeitraums (YYYY, YYYY-MM oder YYYY-MM-DD)",
      "type": "string"
    },
    "end": {
      "description": "Ende des Zeitraums (YYYY, YYYY-MM oder YYYY-MM-DD)",
      "type": "string"
    },
    "recent": {
      "description": "Anzahl der aktuellsten Perioden",
      "type": "integer",
      "exclusiveMinimum": 0,
      "maximum": 9007199254740991
    },
    "limit": {
      "description": "Maximale Anzahl Ergebnisse (öffentlich bis 1000)",
      "type": "integer",
      "minimum": 1,
      "maximum": 1000
    },
    "fields": {
      "description": "Komma-getrennte Feldnamen",
      "type": "string"
    },
    "include": {
      "description": "metadata für Feld-Metadaten inline",
      "type": "string"
    }
  },
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢listings(segment, bezirk, ortsteil, preis_min, preis_max, ...)

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)

Esquema de entrada

{
  "type": "object",
  "properties": {
    "segment": {
      "type": "string",
      "enum": [
        "APARTMENT_LIVING",
        "APARTMENT_INVEST",
        "APARTMENT_BUILDING",
        "COMMERCIAL"
      ]
    },
    "bezirk": {
      "type": "string",
      "minLength": 2,
      "maxLength": 40
    },
    "ortsteil": {
      "type": "string",
      "minLength": 2,
      "maxLength": 40
    },
    "preis_min": {
      "type": "integer",
      "minimum": 0,
      "maximum": 9007199254740991
    },
    "preis_max": {
      "type": "integer",
      "minimum": 0,
      "maximum": 9007199254740991
    },
    "zimmer_min": {
      "type": "number",
      "minimum": 1
    },
    "flaeche_min": {
      "type": "number",
      "minimum": 1
    },
    "locale": {
      "default": "en",
      "type": "string",
      "enum": [
        "de",
        "en"
      ]
    },
    "limit": {
      "description": "Maximale Anzahl Ergebnisse (öffentlich bis 1000)",
      "type": "integer",
      "minimum": 1,
      "maximum": 1000
    }
  },
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢listing_details(public_id, locale)

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)

Esquema de entrada

{
  "type": "object",
  "properties": {
    "public_id": {
      "type": "string",
      "pattern": "^[0-9a-f]{4,12}$"
    },
    "locale": {
      "default": "en",
      "type": "string",
      "enum": [
        "de",
        "en"
      ]
    }
  },
  "required": [
    "public_id"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢macro_ecb_policy_rates(start, end, recent, limit, fields, ...)

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

Esquema de entrada

{
  "type": "object",
  "properties": {
    "start": {
      "type": "string"
    },
    "end": {
      "type": "string"
    },
    "recent": {
      "type": [
        "string",
        "number"
      ]
    },
    "limit": {
      "description": "Maximale Anzahl Ergebnisse (öffentlich bis 1000)",
      "type": "integer",
      "minimum": 1,
      "maximum": 1000
    },
    "fields": {
      "type": "string"
    },
    "include": {
      "type": "string"
    }
  },
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢macro_mortgage_lending(start, end, recent, limit, fields, ...)

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

Esquema de entrada

{
  "type": "object",
  "properties": {
    "start": {
      "type": "string"
    },
    "end": {
      "type": "string"
    },
    "recent": {
      "type": [
        "string",
        "number"
      ]
    },
    "limit": {
      "description": "Maximale Anzahl Ergebnisse (öffentlich bis 1000)",
      "type": "integer",
      "minimum": 1,
      "maximum": 1000
    },
    "fields": {
      "type": "string"
    },
    "include": {
      "type": "string"
    }
  },
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢macro_bund_yields(start, end, recent, limit, fields, ...)

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

Esquema de entrada

{
  "type": "object",
  "properties": {
    "start": {
      "type": "string"
    },
    "end": {
      "type": "string"
    },
    "recent": {
      "type": [
        "string",
        "number"
      ]
    },
    "limit": {
      "description": "Maximale Anzahl Ergebnisse (öffentlich bis 1000)",
      "type": "integer",
      "minimum": 1,
      "maximum": 1000
    },
    "fields": {
      "type": "string"
    },
    "include": {
      "type": "string"
    }
  },
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢macro_labor_unemployment(start, end, recent, limit, fields, ...)

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 (%)

Esquema de entrada

{
  "type": "object",
  "properties": {
    "start": {
      "type": "string"
    },
    "end": {
      "type": "string"
    },
    "recent": {
      "type": [
        "string",
        "number"
      ]
    },
    "limit": {
      "description": "Maximale Anzahl Ergebnisse (öffentlich bis 1000)",
      "type": "integer",
      "minimum": 1,
      "maximum": 1000
    },
    "fields": {
      "type": "string"
    },
    "include": {
      "type": "string"
    }
  },
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢macro_labor_employment(start, end, recent, limit, fields, ...)

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)

Esquema de entrada

{
  "type": "object",
  "properties": {
    "start": {
      "type": "string"
    },
    "end": {
      "type": "string"
    },
    "recent": {
      "type": [
        "string",
        "number"
      ]
    },
    "limit": {
      "description": "Maximale Anzahl Ergebnisse (öffentlich bis 1000)",
      "type": "integer",
      "minimum": 1,
      "maximum": 1000
    },
    "fields": {
      "type": "string"
    },
    "include": {
      "type": "string"
    }
  },
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢macro_labor_short_time_work(start, end, recent, limit, fields, ...)

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)

Esquema de entrada

{
  "type": "object",
  "properties": {
    "start": {
      "type": "string"
    },
    "end": {
      "type": "string"
    },
    "recent": {
      "type": [
        "string",
        "number"
      ]
    },
    "limit": {
      "description": "Maximale Anzahl Ergebnisse (öffentlich bis 1000)",
      "type": "integer",
      "minimum": 1,
      "maximum": 1000
    },
    "fields": {
      "type": "string"
    },
    "include": {
      "type": "string"
    }
  },
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢macro_inflation_hicp(start, end, recent, limit, fields, ...)

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

Esquema de entrada

{
  "type": "object",
  "properties": {
    "start": {
      "type": "string"
    },
    "end": {
      "type": "string"
    },
    "recent": {
      "type": [
        "string",
        "number"
      ]
    },
    "limit": {
      "description": "Maximale Anzahl Ergebnisse (öffentlich bis 1000)",
      "type": "integer",
      "minimum": 1,
      "maximum": 1000
    },
    "fields": {
      "type": "string"
    },
    "include": {
      "type": "string"
    }
  },
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢macro_construction_prices(start, end, recent, limit, fields, ...)

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

Esquema de entrada

{
  "type": "object",
  "properties": {
    "start": {
      "type": "string"
    },
    "end": {
      "type": "string"
    },
    "recent": {
      "type": [
        "string",
        "number"
      ]
    },
    "limit": {
      "description": "Maximale Anzahl Ergebnisse (öffentlich bis 1000)",
      "type": "integer",
      "minimum": 1,
      "maximum": 1000
    },
    "fields": {
      "type": "string"
    },
    "include": {
      "type": "string"
    }
  },
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢macro_gdp(start, end, recent, limit, fields, ...)

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

Esquema de entrada

{
  "type": "object",
  "properties": {
    "start": {
      "type": "string"
    },
    "end": {
      "type": "string"
    },
    "recent": {
      "type": [
        "string",
        "number"
      ]
    },
    "limit": {
      "description": "Maximale Anzahl Ergebnisse (öffentlich bis 1000)",
      "type": "integer",
      "minimum": 1,
      "maximum": 1000
    },
    "fields": {
      "type": "string"
    },
    "include": {
      "type": "string"
    }
  },
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢field_metadata(domain, locale)

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.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "domain": {
      "description": "Domain für Feld-Metadaten. Weglassen für Übersicht aller Domains.",
      "type": "string",
      "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"
      ]
    },
    "locale": {
      "default": "de",
      "description": "Sprache für Labels und Beschreibungen (Standard: de)",
      "type": "string",
      "enum": [
        "de",
        "en"
      ]
    }
  },
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢socio_berlin_construction_activity(rbs, bezirk_id, ortsteil_id, start, end, ...)

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)

Esquema de entrada

{
  "type": "object",
  "properties": {
    "rbs": {
      "default": "stadt",
      "type": "string",
      "enum": [
        "stadt",
        "bezirk",
        "ortsteil"
      ]
    },
    "bezirk_id": {
      "description": "Bezirk-ID (2-stellig, z.B. \"03\")",
      "type": "string"
    },
    "ortsteil_id": {
      "description": "Ortsteil-ID (4-stellig, z.B. \"0301\")",
      "type": "string"
    },
    "start": {
      "description": "Beginn (YYYY, YYYY-MM, YYYY-MM-DD)",
      "type": "string"
    },
    "end": {
      "description": "Ende (YYYY, YYYY-MM, YYYY-MM-DD)",
      "type": "string"
    },
    "recent": {
      "description": "Anzahl der aktuellsten Perioden",
      "type": "integer",
      "exclusiveMinimum": 0,
      "maximum": 9007199254740991
    },
    "limit": {
      "description": "Maximale Anzahl Ergebnisse (öffentlich bis 1000)",
      "type": "integer",
      "minimum": 1,
      "maximum": 1000
    },
    "fields": {
      "description": "Komma-getrennte Feldnamen",
      "type": "string"
    },
    "include": {
      "description": "metadata für Feld-Metadaten inline",
      "type": "string"
    }
  },
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢socio_berlin_migration_external(rbs, bezirk_id, ortsteil_id, start, end, ...)

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)

Esquema de entrada

{
  "type": "object",
  "properties": {
    "rbs": {
      "default": "stadt",
      "type": "string",
      "enum": [
        "stadt",
        "bezirk",
        "ortsteil"
      ]
    },
    "bezirk_id": {
      "description": "Bezirk-ID (2-stellig, z.B. \"03\")",
      "type": "string"
    },
    "ortsteil_id": {
      "description": "Ortsteil-ID (4-stellig, z.B. \"0301\")",
      "type": "string"
    },
    "start": {
      "description": "Beginn (YYYY, YYYY-MM, YYYY-MM-DD)",
      "type": "string"
    },
    "end": {
      "description": "Ende (YYYY, YYYY-MM, YYYY-MM-DD)",
      "type": "string"
    },
    "recent": {
      "description": "Anzahl der aktuellsten Perioden",
      "type": "integer",
      "exclusiveMinimum": 0,
      "maximum": 9007199254740991
    },
    "limit": {
      "description": "Maximale Anzahl Ergebnisse (öffentlich bis 1000)",
      "type": "integer",
      "minimum": 1,
      "maximum": 1000
    },
    "fields": {
      "description": "Komma-getrennte Feldnamen",
      "type": "string"
    },
    "include": {
      "description": "metadata für Feld-Metadaten inline",
      "type": "string"
    },
    "staat_code": {
      "description": "Staatencode (3-stellig, z.B. \"000\")",
      "type": "string"
    },
    "alpha2": {
      "description": "ISO 3166-1 Alpha-2 (z.B. \"TR\")",
      "type": "string"
    }
  },
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢socio_berlin_migration_matrix(rbs, von_rbs_id, nach_rbs_id, min_personen, start, ...)

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

Esquema de entrada

{
  "type": "object",
  "properties": {
    "rbs": {
      "default": "bezirk",
      "type": "string",
      "enum": [
        "bezirk",
        "ortsteil"
      ]
    },
    "von_rbs_id": {
      "description": "Filter Herkunftsraum-ID",
      "type": "string"
    },
    "nach_rbs_id": {
      "description": "Filter Zielraum-ID",
      "type": "string"
    },
    "min_personen": {
      "description": "Untere Schranke Anzahl Personen (Default 1)",
      "type": "integer",
      "exclusiveMinimum": 0,
      "maximum": 9007199254740991
    },
    "start": {
      "description": "Beginn (YYYY, YYYY-MM, YYYY-MM-DD)",
      "type": "string"
    },
    "end": {
      "description": "Ende (YYYY, YYYY-MM, YYYY-MM-DD)",
      "type": "string"
    },
    "recent": {
      "description": "Anzahl der aktuellsten Perioden",
      "type": "integer",
      "exclusiveMinimum": 0,
      "maximum": 9007199254740991
    },
    "limit": {
      "description": "Maximale Anzahl Ergebnisse (öffentlich bis 1000)",
      "type": "integer",
      "minimum": 1,
      "maximum": 1000
    },
    "fields": {
      "description": "Komma-getrennte Feldnamen",
      "type": "string"
    },
    "include": {
      "description": "metadata für Feld-Metadaten inline",
      "type": "string"
    }
  },
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢socio_berlin_population(rbs, bezirk_id, ortsteil_id, planungsraum_id, start, ...)

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)

Esquema de entrada

{
  "type": "object",
  "properties": {
    "rbs": {
      "default": "stadt",
      "type": "string",
      "enum": [
        "stadt",
        "bezirk",
        "ortsteil",
        "planungsraum"
      ]
    },
    "bezirk_id": {
      "description": "Bezirk-ID (2-stellig, z.B. \"03\")",
      "type": "string"
    },
    "ortsteil_id": {
      "description": "Ortsteil-ID (4-stellig, z.B. \"0301\")",
      "type": "string"
    },
    "planungsraum_id": {
      "description": "Planungsraum-ID (8-stellig)",
      "type": "string"
    },
    "start": {
      "description": "Beginn (YYYY, YYYY-MM, YYYY-MM-DD)",
      "type": "string"
    },
    "end": {
      "description": "Ende (YYYY, YYYY-MM, YYYY-MM-DD)",
      "type": "string"
    },
    "recent": {
      "description": "Anzahl der aktuellsten Perioden",
      "type": "integer",
      "exclusiveMinimum": 0,
      "maximum": 9007199254740991
    },
    "limit": {
      "description": "Maximale Anzahl Ergebnisse (öffentlich bis 1000)",
      "type": "integer",
      "minimum": 1,
      "maximum": 1000
    },
    "fields": {
      "description": "Komma-getrennte Feldnamen",
      "type": "string"
    },
    "include": {
      "description": "metadata für Feld-Metadaten inline",
      "type": "string"
    }
  },
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢socio_berlin_age_groups(rbs, bezirk_id, ortsteil_id, start, end, ...)

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)

Esquema de entrada

{
  "type": "object",
  "properties": {
    "rbs": {
      "default": "stadt",
      "type": "string",
      "enum": [
        "stadt",
        "bezirk",
        "ortsteil"
      ]
    },
    "bezirk_id": {
      "description": "Bezirk-ID (2-stellig, z.B. \"03\")",
      "type": "string"
    },
    "ortsteil_id": {
      "description": "Ortsteil-ID (4-stellig, z.B. \"0301\")",
      "type": "string"
    },
    "start": {
      "description": "Beginn (YYYY, YYYY-MM, YYYY-MM-DD)",
      "type": "string"
    },
    "end": {
      "description": "Ende (YYYY, YYYY-MM, YYYY-MM-DD)",
      "type": "string"
    },
    "recent": {
      "description": "Anzahl der aktuellsten Perioden",
      "type": "integer",
      "exclusiveMinimum": 0,
      "maximum": 9007199254740991
    },
    "limit": {
      "description": "Maximale Anzahl Ergebnisse (öffentlich bis 1000)",
      "type": "integer",
      "minimum": 1,
      "maximum": 1000
    },
    "fields": {
      "description": "Komma-getrennte Feldnamen",
      "type": "string"
    },
    "include": {
      "description": "metadata für Feld-Metadaten inline",
      "type": "string"
    },
    "bevoelkerungsgruppe": {
      "description": "Bevölkerungsgruppe: alle, mit_migrationshintergrund",
      "type": "string",
      "enum": [
        "alle",
        "mit_migrationshintergrund"
      ]
    },
    "altersgruppe": {
      "description": "Altersgruppe (z.B. alter_unter_6)",
      "type": "string"
    }
  },
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢socio_berlin_origin(rbs, bezirk_id, stadtteil_id, ortsteil_id, planungsraum_id, ...)

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)

Esquema de entrada

{
  "type": "object",
  "properties": {
    "rbs": {
      "default": "stadt",
      "type": "string",
      "enum": [
        "stadt",
        "bezirk",
        "ortsteil"
      ]
    },
    "bezirk_id": {
      "description": "Bezirk-ID (2-stellig, z.B. \"03\")",
      "type": "string"
    },
    "stadtteil_id": {
      "description": "Stadtteil-ID (2-stellig)",
      "type": "string"
    },
    "ortsteil_id": {
      "description": "Ortsteil-ID (4-stellig, z.B. \"0301\")",
      "type": "string"
    },
    "planungsraum_id": {
      "description": "Planungsraum-ID (8-stellig)",
      "type": "string"
    },
    "start": {
      "description": "Beginn (YYYY, YYYY-MM, YYYY-MM-DD)",
      "type": "string"
    },
    "end": {
      "description": "Ende (YYYY, YYYY-MM, YYYY-MM-DD)",
      "type": "string"
    },
    "recent": {
      "description": "Anzahl der aktuellsten Perioden",
      "type": "integer",
      "exclusiveMinimum": 0,
      "maximum": 9007199254740991
    },
    "limit": {
      "description": "Maximale Anzahl Ergebnisse (öffentlich bis 1000)",
      "type": "integer",
      "minimum": 1,
      "maximum": 1000
    },
    "fields": {
      "description": "Komma-getrennte Feldnamen",
      "type": "string"
    },
    "include": {
      "description": "metadata für Feld-Metadaten inline",
      "type": "string"
    },
    "herkunftsgebiet": {
      "description": "Herkunftsgebiet (z.B. tuerkei, ukraine, eu)",
      "type": "string"
    },
    "top": {
      "description": "Top-N Herkunftsgebiete nach Anzahl",
      "type": "integer",
      "exclusiveMinimum": 0,
      "maximum": 9007199254740991
    }
  },
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢socio_berlin_census_dwellings(rbs, bezirk_id, ortsteil_id, planungsraum_id, start, ...)

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"

Esquema de entrada

{
  "type": "object",
  "properties": {
    "rbs": {
      "default": "stadt",
      "type": "string",
      "enum": [
        "stadt",
        "bezirk",
        "ortsteil",
        "planungsraum"
      ]
    },
    "bezirk_id": {
      "description": "Bezirk-ID (2-stellig, z.B. \"03\")",
      "type": "string"
    },
    "ortsteil_id": {
      "description": "Ortsteil-ID (4-stellig, z.B. \"0301\")",
      "type": "string"
    },
    "planungsraum_id": {
      "description": "Planungsraum-ID (8-stellig)",
      "type": "string"
    },
    "start": {
      "description": "Beginn (YYYY, YYYY-MM, YYYY-MM-DD)",
      "type": "string"
    },
    "end": {
      "description": "Ende (YYYY, YYYY-MM, YYYY-MM-DD)",
      "type": "string"
    },
    "recent": {
      "description": "Anzahl der aktuellsten Perioden",
      "type": "integer",
      "exclusiveMinimum": 0,
      "maximum": 9007199254740991
    },
    "limit": {
      "description": "Maximale Anzahl Ergebnisse (öffentlich bis 1000)",
      "type": "integer",
      "minimum": 1,
      "maximum": 1000
    },
    "fields": {
      "description": "Komma-getrennte Feldnamen",
      "type": "string"
    },
    "include": {
      "description": "metadata für Feld-Metadaten inline",
      "type": "string"
    },
    "kategorie": {
      "description": "Kategorie: raeume, flaeche, nutzung",
      "type": "string",
      "enum": [
        "raeume",
        "flaeche",
        "nutzung"
      ]
    }
  },
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢socio_berlin_census_vacancy(rbs, bezirk_id, ortsteil_id, start, end, ...)

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

Esquema de entrada

{
  "type": "object",
  "properties": {
    "rbs": {
      "default": "stadt",
      "type": "string",
      "enum": [
        "stadt",
        "bezirk",
        "ortsteil"
      ]
    },
    "bezirk_id": {
      "description": "Bezirk-ID (2-stellig, z.B. \"03\")",
      "type": "string"
    },
    "ortsteil_id": {
      "description": "Ortsteil-ID (4-stellig, z.B. \"0301\")",
      "type": "string"
    },
    "start": {
      "description": "Beginn (YYYY, YYYY-MM, YYYY-MM-DD)",
      "type": "string"
    },
    "end": {
      "description": "Ende (YYYY, YYYY-MM, YYYY-MM-DD)",
      "type": "string"
    },
    "recent": {
      "description": "Anzahl der aktuellsten Perioden",
      "type": "integer",
      "exclusiveMinimum": 0,
      "maximum": 9007199254740991
    },
    "limit": {
      "description": "Maximale Anzahl Ergebnisse (öffentlich bis 1000)",
      "type": "integer",
      "minimum": 1,
      "maximum": 1000
    },
    "fields": {
      "description": "Komma-getrennte Feldnamen",
      "type": "string"
    },
    "include": {
      "description": "metadata für Feld-Metadaten inline",
      "type": "string"
    },
    "kategorie": {
      "description": "Kategorie: dauer, grund",
      "type": "string",
      "enum": [
        "dauer",
        "grund"
      ]
    }
  },
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢socio_berlin_census_rents(rbs, bezirk_id, ortsteil_id, start, end, ...)

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

Esquema de entrada

{
  "type": "object",
  "properties": {
    "rbs": {
      "default": "stadt",
      "type": "string",
      "enum": [
        "stadt",
        "bezirk",
        "ortsteil"
      ]
    },
    "bezirk_id": {
      "description": "Bezirk-ID (2-stellig, z.B. \"03\")",
      "type": "string"
    },
    "ortsteil_id": {
      "description": "Ortsteil-ID (4-stellig, z.B. \"0301\")",
      "type": "string"
    },
    "start": {
      "description": "Beginn (YYYY, YYYY-MM, YYYY-MM-DD)",
      "type": "string"
    },
    "end": {
      "description": "Ende (YYYY, YYYY-MM, YYYY-MM-DD)",
      "type": "string"
    },
    "recent": {
      "description": "Anzahl der aktuellsten Perioden",
      "type": "integer",
      "exclusiveMinimum": 0,
      "maximum": 9007199254740991
    },
    "limit": {
      "description": "Maximale Anzahl Ergebnisse (öffentlich bis 1000)",
      "type": "integer",
      "minimum": 1,
      "maximum": 1000
    },
    "fields": {
      "description": "Komma-getrennte Feldnamen",
      "type": "string"
    },
    "include": {
      "description": "metadata für Feld-Metadaten inline",
      "type": "string"
    },
    "kategorie": {
      "description": "Kategorie: flaeche. Ohne: Gesamtdurchschnitt",
      "type": "string",
      "enum": [
        "flaeche"
      ]
    }
  },
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢socio_berlin_census_buildings(rbs, bezirk_id, ortsteil_id, start, end, ...)

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"

Esquema de entrada

{
  "type": "object",
  "properties": {
    "rbs": {
      "default": "stadt",
      "type": "string",
      "enum": [
        "stadt",
        "bezirk",
        "ortsteil"
      ]
    },
    "bezirk_id": {
      "description": "Bezirk-ID (2-stellig, z.B. \"03\")",
      "type": "string"
    },
    "ortsteil_id": {
      "description": "Ortsteil-ID (4-stellig, z.B. \"0301\")",
      "type": "string"
    },
    "start": {
      "description": "Beginn (YYYY, YYYY-MM, YYYY-MM-DD)",
      "type": "string"
    },
    "end": {
      "description": "Ende (YYYY, YYYY-MM, YYYY-MM-DD)",
      "type": "string"
    },
    "recent": {
      "description": "Anzahl der aktuellsten Perioden",
      "type": "integer",
      "exclusiveMinimum": 0,
      "maximum": 9007199254740991
    },
    "limit": {
      "description": "Maximale Anzahl Ergebnisse (öffentlich bis 1000)",
      "type": "integer",
      "minimum": 1,
      "maximum": 1000
    },
    "fields": {
      "description": "Komma-getrennte Feldnamen",
      "type": "string"
    },
    "include": {
      "description": "metadata für Feld-Metadaten inline",
      "type": "string"
    },
    "kategorie": {
      "description": "Kategorie: bauweise, eigentumsform, heizungsart, energietraeger",
      "type": "string",
      "enum": [
        "bauweise",
        "eigentumsform",
        "heizungsart",
        "energietraeger"
      ]
    }
  },
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢socio_berlin_census_households(rbs, bezirk_id, ortsteil_id, start, end, ...)

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"

Esquema de entrada

{
  "type": "object",
  "properties": {
    "rbs": {
      "default": "stadt",
      "type": "string",
      "enum": [
        "stadt",
        "bezirk",
        "ortsteil"
      ]
    },
    "bezirk_id": {
      "description": "Bezirk-ID (2-stellig, z.B. \"03\")",
      "type": "string"
    },
    "ortsteil_id": {
      "description": "Ortsteil-ID (4-stellig, z.B. \"0301\")",
      "type": "string"
    },
    "start": {
      "description": "Beginn (YYYY, YYYY-MM, YYYY-MM-DD)",
      "type": "string"
    },
    "end": {
      "description": "Ende (YYYY, YYYY-MM, YYYY-MM-DD)",
      "type": "string"
    },
    "recent": {
      "description": "Anzahl der aktuellsten Perioden",
      "type": "integer",
      "exclusiveMinimum": 0,
      "maximum": 9007199254740991
    },
    "limit": {
      "description": "Maximale Anzahl Ergebnisse (öffentlich bis 1000)",
      "type": "integer",
      "minimum": 1,
      "maximum": 1000
    },
    "fields": {
      "description": "Komma-getrennte Feldnamen",
      "type": "string"
    },
    "include": {
      "description": "metadata für Feld-Metadaten inline",
      "type": "string"
    },
    "kategorie": {
      "description": "Kategorie: groesse, wohndauer",
      "type": "string",
      "enum": [
        "groesse",
        "wohndauer"
      ]
    }
  },
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢search(q, locale, section, limit)

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)

Esquema de entrada

{
  "type": "object",
  "properties": {
    "q": {
      "type": "string",
      "minLength": 2,
      "maxLength": 200
    },
    "locale": {
      "default": "en",
      "type": "string",
      "enum": [
        "de",
        "en"
      ]
    },
    "section": {
      "type": "string",
      "pattern": "^(listings|projects|market-intelligence|pages)(,(listings|projects|market-intelligence|pages))*$"
    },
    "limit": {
      "description": "Maximale Anzahl Ergebnisse (öffentlich bis 20)",
      "type": "integer",
      "minimum": 1,
      "maximum": 20
    }
  },
  "required": [
    "q"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#"
}

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