Licenses & Data Usage

Licenses & Data Usage

Data-Driven Support for Property Valuation

Our platform provides a data-backed foundation to help users make more informed decisions when assessing real estate values. Using modern machine learning technologies, we analyze over 120 relevant features, including:

  • Living area, number of rooms, and property type
  • Quality of location and proximity to public transportation
  • Distance to schools, amenities, and green spaces
  • Comparable properties and local market trends

Our goal is to offer users a transparent, objective, and data-driven orientation to support valuation—especially when preparing to buy or sell real estate.

⚠️ We do not offer official or legally binding valuations. Our analysis serves as a decision-making aid, not as a certified appraisal.


Data Sources

Our analyses are based on a combination of publicly available datasets and commercially licensed data sources. All data is used in compliance with applicable licensing conditions.

Public Open Data Sources:

French Property and Geographic Data

1. Geolocated Property Value Requests (Demandes de valeurs foncières)

  • Source: Direction Générale des Finances Publiques (DGFiP) via data.gouv.fr
  • License: Open License 2.0 (Etalab) — View License
  • Description: Contains real estate transaction data with geolocation information across France

2. National Address Database (Base Adresse Nationale)

  • Source: Etalab via adresse.data.gouv.fr
  • License: Open License 2.0 (Etalab) — View License
  • Description: Comprehensive database of all addresses in France with precise geolocation

3. Digital Cadastral Map (Plan Cadastral Informatisé)

  • Source: DGFiP via cadastre.data.gouv.fr
  • License: Open License 2.0 (Etalab) — View License
  • Description: Digital cadastral maps showing property boundaries and parcels throughout France

4. National Building Database (Base de Données Nationale des Bâtiments — BDNB)

  • Source: CSTB & ADEME via data.ademe.fr
  • License: Open License 2.0 (Etalab) — View License
  • Description: Comprehensive national building database cross-referencing cadastral, energy performance (DPE), tax, and census data — including construction year, building type, floor count, energy ratings, heating systems, insulation characteristics, and co-ownership information

5. Social Housing Directory (Répertoire des logements locatifs sociaux)

  • Source: Ministère de la Transition Écologique via data.gouv.fr
  • License: Open License 2.0 (Etalab) — View License
  • Description: Database of social housing units with details on rental prices, occupancy, and property management

6. Property Tax Database (Fichiers fonciers)

  • Source: Cerema via datafoncier.cerema.fr
  • License: Open License 2.0 (Etalab) — View License
  • Description: Detailed property tax records including ownership information, property characteristics, and tax assessments

7. Georisques API (Risk Assessment Data)

  • Source: Ministry of Ecological Transition & BRGM via georisques.gouv.fr
  • License: Open License 2.0 (Etalab) — View License
  • Description: Public information on natural and technological risks including flood zones, soil pollution, industrial sites, seismic risks, and other environmental hazards for any given location in France

8. Hub’Eau Drinking Water Quality API

  • Source: Office français de la biodiversité (OFB) & BRGM via hubeau.eaufrance.fr
  • License: Open License 2.0 (Etalab) — View License
  • Description: Drinking water quality analysis results from distribution networks across France, including safety conformity rates, contaminant levels (nitrates, pesticides, bacteria, lead), and water hardness measurements

9. Basilic Cultural Venues Database

  • Source: Ministry of Culture via data.culture.gouv.fr
  • License: Open License 2.0 (Etalab) — View License
  • Description: Comprehensive database of cultural and leisure venues across France including libraries, cinemas, museums, theaters, opera houses, conservatories, parks, and cultural centers with geolocation data

10. IVAL School Performance Data (data.education.gouv.fr)

  • Source: Ministry of National Education via data.education.gouv.fr
  • License: Open License 2.0 (Etalab) — View License
  • Description: School performance indicators (IVAL) including baccalauréat pass rates and value-added scores for lycées, DNB pass rates for collèges, and address/geolocation data for all primary and secondary schools in France

11. Urban Zoning Plans (Géoportail de l’Urbanisme / API Carto)

  • Source: IGN (Institut National de l’Information Géographique et Forestière) via API Carto
  • License: Open License 2.0 (Etalab) — View License
  • Description: Local urban planning zones (PLU/PLUi) including zoning classifications (urban, agricultural, natural, to-be-urbanized), building regulations, and land-use restrictions for any location in France

12. Commune Lookup API (Geo API)

  • Source: Etalab via geo.api.gouv.fr
  • License: Open License 2.0 (Etalab) — View License
  • Description: Administrative boundary lookup service providing commune names, INSEE codes, postal codes, and geographic boundaries from GPS coordinates

13. Crime Statistics (SSMSI)

  • Source: Service statistique ministériel de la sécurité intérieure (SSMSI) via data.gouv.fr
  • License: Open License 2.0 (Etalab) — View License
  • Description: Municipal and departmental crime statistics recorded by national police and gendarmerie, covering 15 categories including burglaries, vehicle theft, physical violence, sexual violence, drug offenses, fraud, and property destruction

14. National Co-Ownership Register (Registre National des Copropriétés)

  • Source: ANAH (Agence Nationale de l’Habitat) via data.gouv.fr
  • License: Open License 2.0 (Etalab) — View License
  • Description: Co-ownership registration data including number of lots, unpaid charges ratios, energy performance diagnostics, and financial health indicators for residential buildings — accessed via BDNB integration

15. Priority Neighborhoods (Quartiers Prioritaires de la Politique de la Ville)

  • Source: ANCT (Agence Nationale de la Cohésion des Territoires) via data.gouv.fr
  • License: Open License 2.0 (Etalab) — View License
  • Description: Geographic boundaries and socioeconomic data for priority urban renewal neighborhoods, used to assess local investment context and urban regeneration potential — accessed via BDNB integration

16. INSEE IRIS Statistical Districts

  • Source: INSEE via data.gouv.fr and insee.fr
  • License: Open License 2.0 (Etalab) — View License
  • Description: Neighborhood-level (IRIS) statistical districts with demographic, household, and income indicators used for local context analysis

17. Météo-France Climate Data (DPClim)

  • Source: Météo-France via portail-api.meteofrance.fr
  • License: Open License 2.0 (Etalab) — View License
  • Description: Station-based temperature and sunshine observations used for French seasonal climate profiles

18. ANIL Rent Map (“Carte des loyers”)

  • Source: ANIL & DHUP/SDES via data.gouv.fr
  • License: Open License 2.0 (Etalab) — View License
  • Description: Modeled asking-rent indicators per commune (€/m², charges included) for apartments and houses, used as the commune-level anchor for our monthly rent estimates

19. Paris Rent Control Reference Rents (encadrement des loyers)

  • Source: Ville de Paris via opendata.paris.fr
  • License: Open Database License (ODbL 1.0) — View License
  • Description: Official reference rents per quartier, room count, construction period and furnishing status, used to calibrate how our rent estimate varies within a city

20. Lyon Métropole Rent Control Reference Rents (encadrement des loyers)

  • Source: Métropole de Lyon via data.grandlyon.com
  • License: Licence Ouverte v2 (Etalab) — View License
  • Description: Official reference rents per IRIS zone, used together with the Paris grid to calibrate and cross-validate the rent model

Dubai Property and Geographic Data

1. Dubai Municipality Community Boundaries

  • Source: Dubai Municipality via Dubai Pulse
  • License: Dubai Pulse Open Data License — View License
  • Description: Geographic boundaries and information for communities within Dubai

2. Dubai Land Department Transactions

  • Source: Dubai Land Department (DLD) via Dubai Pulse
  • License: Dubai Pulse Open Data License — View License
  • Description: Real estate transaction data for properties in Dubai

3. Dubai Land Department Area Lookup

  • Source: Dubai Land Department (DLD) via Dubai Pulse
  • License: Dubai Pulse Open Data License — View License
  • Description: Reference data for areas and locations used in Dubai real estate transactions

4. Dubai Rental Index

  • Source: Dubai Land Department (DLD) via Dubai Pulse
  • License: Dubai Pulse Open Data License — View License
  • Description: Official rental price index and average rental rates by area and property type

5. Dubai Property Registration

  • Source: Dubai Land Department (DLD) via Dubai Pulse
  • License: Dubai Pulse Open Data License — View License
  • Description: Property registration records including ownership transfers, mortgages, and property details

Map & Geographic Infrastructure

1. OpenStreetMap

  • Source: OpenStreetMap contributors via openstreetmap.org
  • License: Open Data Commons Open Database License (ODbL 1.0) — View License
  • Description: Community-maintained geographic database providing building footprints, points of interest, road networks, and address data used for geocoding, spatial queries, and map feature enrichment

2. Open-Meteo Weather & Air Quality API

  • Source: Open-Meteo via open-meteo.com
  • License: Attribution — View License
  • Description: Historical weather data including temperature ranges, sunshine duration, and air quality indices used for climate and environmental assessments

German Property

1. Census 2022 Average Net Cold Rent

  • Source: Statistical Offices of the Federation and the States via Census 2022
  • License: Data License Germany – Attribution – Version 2.0 — View License
  • Description: Average net cold rent data from the 2022 German Census available at grid cell levels (10km, 1km, 100m)

2. Census 2022 Ownership Rate

  • Source: Statistical Offices of the Federation and the States via Census 2022
  • License: Data License Germany – Attribution – Version 2.0 — View License
  • Description: Property ownership rates from the 2022 German Census showing percentage of owner-occupied vs rental housing

3. Census 2022 Buildings and Housing Regional Data

  • Source: Statistical Offices of the Federation and the States via Census 2022
  • License: Data License Germany – Attribution – Version 2.0 — View License
  • Description: Comprehensive building and housing statistics including construction year, building types, and heating systems by region

4. BORIS NRW Real Estate Reference Values

  • Source: Oberer Gutachterausschuss für Grundstückswerte im Land NRW via OpenGeodata.NRW
  • License: Datenlizenz Deutschland – Namensnennung – Version 2.0 — View License
  • Description: Georeferenced real estate reference values (Immobilienrichtwerte) for typical properties in North Rhine-Westphalia. Average location-based values derived from property transaction data, available annually from 2011 onwards

5. Census 2022 Building Age, Heating and Energy Grid

  • Source: Statistical Offices of the Federation and the States via Census 2022 (100m grid: construction decade, heating type, energy source)
  • License: Data License Germany – Attribution – Version 2.0 — View License
  • Description: 100m grid cells with the dominant construction decade, heating type and energy carrier, used for building-age, heating-modernization and district-heating assessments

6. BfS Indoor Radon Data

  • Source: Federal Office for Radiation Protection (Bundesamt für Strahlenschutz — BfS) Open Data
  • License: Data License Germany – Attribution – Version 2.0 — View License
  • Description: Predicted mean indoor radon concentrations per municipality and designated radon priority areas under §121 StrlSchG

7. Seismic Zones (DIN EN 1998-1/NA)

  • Source: Deutsches Institut für Bautechnik (DIBt) zone table and Geologischer Dienst NRW, combined with BKG VG250 municipal boundaries
  • License: Data License Germany – Attribution – Version 2.0 — View License
  • Description: German earthquake zones 1–3 per DIN EN 1998-1/NA, used for structural risk assessment

8. BGR Topsoil Texture (BOART1000OB)

  • Source: Federal Institute for Geosciences and Natural Resources (Bundesanstalt für Geowissenschaften und Rohstoffe — BGR)
  • License: © BGR — GeoNutzV
  • Description: Dominant topsoil texture groups (scale 1:1,000,000), used as an indicator of clay shrink-swell susceptibility

9. BNetzA Broadband Atlas

  • Source: Breitbandatlas | Gigabit-Grundbuch, Federal Network Agency (Bundesnetzagentur) — gigabitgrundbuch.bund.de
  • License: Free use with mandatory attribution: “Breitbandatlas | Gigabit-Grundbuch (https://gigabitgrundbuch.bund.de)”
  • Description: Fixed-line broadband supply per 100m grid cell (fibre/FTTH-B, gigabit, and 50/100 Mbit household coverage shares)

10. Standard Land Values (Bodenrichtwerte) — NRW & Berlin

  • Source: Gutachterausschüsse für Grundstückswerte via OpenGeodata.NRW and Geoportal Berlin
  • License: Data License Germany – Zero – Version 2.0 — View License
  • Description: Official standard land values (Bodenrichtwerte, €/m²) for building land in North Rhine-Westphalia and Berlin — distinct from the Immobilienrichtwerte above, which are typical property values

Commercial Data Sources:

In addition to open data, we incorporate selected commercial data sources to enrich our analysis. These may include:

  • Local market indicators, including property prices, rental rates, sales volumes, and commercial lease trends.
  • Socioeconomic metrics, such as income levels, employment rates, population demographics, and education attainment relevant to real estate markets.
  • Specialized location-based data, including mobility patterns, pedestrian and vehicular foot traffic, and proximity to key amenities or infrastructure.
  • Consumer behavior and psychographic profiles, providing insights into lifestyle segmentation, homebuyer preferences, and spending habits.
  • Financial and credit data, including credit scores, mortgage lending activity, and financial risk assessments.
  • Property and land use records, encompassing ownership history, zoning classifications, land parcel boundaries, and development restrictions.
  • Environmental and climate risk data, including flood zone delineations, air and water quality indices, and climate-related hazard exposure.
  • Utility and infrastructure data, such as energy consumption patterns, broadband and telecommunications availability, and water resource usage.
  • Retail and transaction data, including point-of-sale statistics, commercial and residential transaction volumes, and market demand trends.
  • Telecommunications and mobility data, including cellular network coverage, mobile device density, and commuting or travel pattern analytics.

Such sources enable deeper context analysis and enhance the precision and reliability of our valuation guidance.


AI Model & Algorithm Transparency

Our Approach

Our proprietary AI models are trained on historical real estate data to identify patterns and provide insights. Key aspects include:

  • Machine Learning Models: Ensemble methods combining multiple algorithms for improved accuracy
  • Feature Engineering: Over 120 carefully selected features validated by real estate experts
  • Continuous Learning: Models are regularly updated with new data to maintain relevance
  • Bias Mitigation: Active monitoring and correction for algorithmic bias

Model Limitations

  • Results are probabilistic estimates, not guarantees
  • Accuracy depends on data availability and quality
  • Unusual properties may have less reliable estimates
  • Market disruptions can affect model predictions

Usage Rights & Restrictions

Permitted Uses

Users may:

  • Access insights for personal and professional real estate decision-making
  • Share individual property reports with clients, buyers, sellers, and other parties involved in real estate transactions
  • Use data to supplement professional real estate services and advice
  • Incorporate insights into professional presentations and client consultations
  • Compare properties within our platform for market analysis
  • Real estate professionals may use our insights as part of their services to clients

Prohibited Uses

Users may NOT:

  • Resell or redistribute our data or insights commercially
  • Scrape or harvest data from our platform
  • Use our service for automated trading or speculation
  • Misrepresent our insights as official appraisals
  • Bypass access controls or usage limits

Updates & Modifications

We reserve the right to:

  • Update our data sources and methodologies
  • Modify our algorithms and features
  • Change usage terms with appropriate notice
  • Discontinue services in specific regions

Usage Disclaimer

The output generated by our platform is intended to support informed decision-making. It should not be interpreted as an official appraisal or legal advice.

We strongly recommend consulting certified professionals, such as licensed real estate appraisers or brokers, for final decisions involving pricing, contracts, or financial planning.

For licensing or data-related inquiries: [email protected]


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The AI-Powered Insider’s Guide to French Real Estate.

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All data is provided without warranty of accuracy. We rely on multiple external sources and cannot guarantee completeness.