Overview

CUZK (Cesky urad zememericky a katastralni -- Czech Office for Surveying, Mapping, and Cadastre) is the central state administration authority responsible for maintaining the official land registry (katastr nemovitosti) of the Czech Republic. The cadastral system represents one of the most comprehensive and authoritative property registries in Central Europe, containing records of all real estate ownership, encumbrances, liens, easements, mortgages, and other rights and obligations attached to approximately 23 million parcels across the entire territory of the Czech Republic.

The Czech cadastral system traces its origins to the Austrian Empress Maria Theresa's 1749 land registry reforms, making it one of the oldest continuously maintained property registries in Europe. The modern system was significantly reformed after 1989 during the property restitution process following the end of communist rule, when millions of property rights were re-established, creating one of the most complex cadastral transitions in European history. Today, the cadastre operates under Act No. 256/2013 Sb. (the Cadastral Act) and is maintained by 14 regional cadastral offices (katastralni urady) coordinated by CUZK.

For OSINT investigations, CUZK is an indispensable resource for asset tracing, wealth profiling, beneficial ownership analysis, and financial crime investigation. Property ownership records reveal the real estate holdings of individuals and companies, enabling investigators to assess declared wealth against observable asset positions, identify property transfers that may indicate asset hiding or money laundering, and discover undisclosed connections between entities through shared property ownership or co-located addresses.

The cadastral system provides two complementary views of property data. The descriptive component (popisne udaje) records ownership, rights, restrictions, and property attributes in structured database form. The geodetic component (geometricky plan) provides precise spatial definitions of parcel boundaries, building footprints, and geographic context through digital cadastral maps available through the CUZK geoportal.

CUZK data access operates on a tiered model. Basic lookups are available for free through the nahlizeni.cuzk.cz web portal, providing read-only access to current ownership and basic property information. Detailed access to title deeds (listy vlastnictvi), historical records, and bulk data requires registration with the DPMR (Dalkovy pristup k udajum katastru nemovitosti) remote access service, which charges per-query fees. Professional users (banks, law firms, notaries) typically maintain DPMR subscriptions for continuous access.

Data Sources and Coverage

Cadastral Database

The cadastral database is the single authoritative source for all real estate ownership and rights in the Czech Republic. It is maintained in real-time by 14 regional cadastral offices processing approximately 1 million transactions annually.

Metric	Coverage
Total Parcels	~23,000,000
Total Buildings	~5,500,000
Ownership Records	~15,000,000 active entries
Cadastral Territories	13,027
Title Deeds (LV)	~10,000,000 active
Annual Transactions	~1,000,000
Data Accuracy	>99.5% (legal guarantee)
Geographic Coverage	100% of Czech territory

Data Categories

Category	Data Elements	OSINT Value
Ownership Records	Owner name/ICO, acquisition date, acquisition type, share	Asset tracing, wealth profiling
Encumbrances	Mortgages, liens, easements, pre-emptive rights	Financial exposure assessment
Parcel Data	Area, land use, cadastral territory, protection status	Property valuation context
Building Data	Type, purpose, address, floor count, LV reference	Property identification
Title Deeds (LV)	Complete rights and obligations for property unit	Comprehensive ownership analysis
Transaction History	Transfers, encumbrance changes, corrections	Ownership chain investigation
Cadastral Maps	Parcel boundaries, building footprints, coordinates	Spatial analysis
BPEJ	Agricultural land quality classification	Land value assessment

Access Tiers

Service	Access Level	Cost	Data Scope
nahlizeni.cuzk.cz	Free web portal	Free	Basic ownership, parcel info
DPMR	Registered remote access	Per-query fees	Full title deeds, detailed data
WSDP	Web service API	Per-query fees	Structured queries, bulk
VFK	Bulk data export	License fee	Complete cadastral data
RUIN	Address registry	Free/registered	Building addresses
Geoportal	Map services	Free	Cadastral maps, WMS/WFS

API Integration

DPMR and WSDP Services

Programmatic access to CUZK data is available through the WSDP (Web Service for Remote Access) for registered users. The service provides structured queries returning XML responses.

Service	Protocol	Authentication	Description
WSDP	SOAP/XML	Certificate + credentials	Structured property queries
DPMR Web	HTTPS	Login credentials	Interactive web access
Geoportal WMS	OGC WMS	None (public)	Cadastral map layers
Geoportal WFS	OGC WFS	None (public)	Vector cadastral data
RUIN	REST	None (public)	Address point queries
VFK	Bulk download	Licensed	Complete cadastral export

Rate Limits and Pricing

Service	Rate	Cost
nahlizeni.cuzk.cz	Reasonable use	Free
DPMR/WSDP queries	No hard limit	CZK 50/query (approx)
DPMR annual subscription	Unlimited	CZK 500-50,000/year (by tier)
VFK bulk export	One-time	CZK 1,000-100,000 (by scope)
Geoportal WMS/WFS	Reasonable use	Free

curl Examples

# Free nahlizeni.cuzk.cz lookup (web scraping approach)
curl "https://nahlizenidokn.cuzk.cz/VyberParcelu/CelaCR.aspx?typ=1&stav=1&katastr=praha"

# Geoportal WMS - get cadastral map tile
curl "https://services.cuzk.cz/wms/wms_kn/MapServer/WMSServer?service=WMS&request=GetMap&layers=KN&bbox=14.4,50.0,14.5,50.1&width=800&height=600&srs=EPSG:4326&format=image/png"

# RUIN address point lookup
curl "https://vdp.cuzk.cz/vdp/ruian/adresnimista/vyhledej?obec=Praha&ulice=Vaclavske+namesti&cislo=846"

Query Examples

# Search property by owner name
{:ok, properties} = Cuzk.search_by_owner("Jan Novak", municipality: "Praha")
# => [%{lv_number: 12345, cadastral_territory: "Nove Mesto",
#       parcels: [%{number: "846/1", area_m2: 350, land_use: :zastavena_plocha}],
#       ownership_share: "1/1", acquisition_date: ~D[2018-05-15],
#       acquisition_type: :purchase}]

# Lookup property ownership by ICO (company)
{:ok, portfolio} = Cuzk.company_properties(ico: "12345678")
# => %{company: "Example s.r.o.", ico: "12345678",
#      properties: [
#        %{lv: 5678, territory: "Vinohrady", type: :commercial,
#          area_m2: 1200, encumbrances: [%{type: :mortgage, creditor: "KB a.s."}]},
#        %{lv: 9012, territory: "Smichov", type: :residential,
#          area_m2: 85, encumbrances: []}
#      ],
#      total_properties: 2, estimated_value: 45_000_000}

# Get full title deed (list vlastnictvi)
{:ok, lv} = Cuzk.title_deed(lv_number: 12345, territory: "Nove Mesto")
# => %{lv_number: 12345, cadastral_territory: "Nove Mesto",
#      section_a: %{owners: [%{name: "Jan Novak", share: "1/1", ...}]},
#      section_b: %{parcels: [...], buildings: [...]},
#      section_c: %{encumbrances: [%{type: :mortgage, ...}]},
#      section_d: %{notes: [%{type: :plomba, ...}]}}

# Track ownership history of a parcel
{:ok, history} = Cuzk.ownership_history(parcel: "846/1", territory: "Nove Mesto")
# => [%{owner: "Jan Novak", from: ~D[2018-05-15], to: nil, type: :purchase},
#      %{owner: "Marie Dvorakova", from: ~D[2005-01-01], to: ~D[2018-05-14],
#        type: :inheritance}]

# Search by address
{:ok, property} = Cuzk.search_by_address("Vaclavske namesti 846/1, Praha 1")

# Check for encumbrances (mortgages, liens)
{:ok, encumbrances} = Cuzk.encumbrances(lv_number: 12345, territory: "Nove Mesto")
# => [%{type: :mortgage, creditor: "Komercni banka a.s.",
#       amount: 5_000_000, currency: "CZK", registered: ~D[2018-05-20]}]

# Geospatial query - properties within area
{:ok, parcels} = Cuzk.parcels_in_area(
  bbox: %{min_lat: 50.08, min_lon: 14.42, max_lat: 50.09, max_lon: 14.43}
)

Data Schema

Title Deed Structure (List Vlastnictvi)

%Cuzk.TitleDeed{
  lv_number: 12345,
  cadastral_territory: %{
    code: 727181,
    name: "Nove Mesto",
    municipality: "Praha",
    district: "Praha 1"
  },
  section_a: %{
    owners: [
      %{name: "Jan Novak", birth_number_hash: "xxx",
        address: "Vaclavske namesti 1, Praha 1",
        share: "1/1", acquisition: :purchase,
        acquisition_date: ~D[2018-05-15],
        legal_basis: "Kupni smlouva V-12345/2018-101"}
    ]
  },
  section_b: %{
    parcels: [
      %{number: "846/1", area_m2: 350, land_use: :zastavena_plocha,
        protection: [:pamatková_zona]}
    ],
    buildings: [
      %{type: :bytovy_dum, purpose: :bydleni,
        address: "Vaclavske namesti 846/1", floors: 5,
        part_of_parcel: "846/1"}
    ]
  },
  section_c: %{
    encumbrances: [
      %{type: :zastavni_pravo_smluvni,
        creditor: "Komercni banka, a.s.",
        amount: 5_000_000, currency: "CZK",
        registration: "Z-56789/2018-101",
        registered_date: ~D[2018-05-20]}
    ]
  },
  section_d: %{
    notes: [
      %{type: :plomba, content: "Probihajici rizeni V-98765/2025-101",
        date: ~D[2025-06-01]}
    ]
  }
}

Key Fields

Section	Content	OSINT Significance
Section A (Vlastnictvi)	Owners, shares, acquisition basis	Core ownership intelligence
Section B (Nemovitosti)	Parcels, buildings, addresses	Property identification
Section C (Omezeni)	Mortgages, liens, easements	Financial exposure
Section D (Jine zapisy)	Plomba (pending), notes	Transaction activity indicator

Use Cases

Asset Tracing and Wealth Profiling

Investigators use CUZK to map the complete real estate portfolio of individuals and companies under investigation. By searching property records by name or ICO, analysts build comprehensive asset profiles that reveal declared vs. observable wealth positions. Property acquisition dates, values, and funding sources (visible through mortgage records) provide evidence for financial crime investigations.

Beneficial Ownership Investigation

Property ownership analysis reveals connections between entities that may not be apparent from corporate registry data alone. When multiple companies share the same registered address, when an individual's property holdings are inconsistent with declared income, or when property transfers occur at below-market values between related parties, CUZK data provides the evidence for beneficial ownership analysis.

Money Laundering Detection

Real estate is a primary vehicle for money laundering in the Czech Republic and globally. CUZK records enable detection of suspicious patterns including rapid sequential purchases, purchases at significantly above or below market value, cash purchases of high-value property, and ownership structures involving offshore entities or nominee arrangements.

Mortgage and Collateral Verification

Banks and financial institutions use CUZK to verify the status and encumbrance history of property offered as collateral for loans. The title deed's Section C reveals existing mortgages, liens, and other encumbrances that affect the available equity in a property.

Environmental and Planning Due Diligence

Property developers and environmental consultants use CUZK parcel data (land use classifications, protection status, BPEJ agricultural quality ratings) for site assessment and development planning. Protection designations (heritage zones, nature reserves, flood plains) directly affect development potential and property value.

Limitations

Paid Access for Detailed Data: While basic ownership information is available for free through nahlizeni.cuzk.cz, detailed title deeds, historical records, and bulk data require paid DPMR access. Per-query fees can accumulate quickly for large-scale investigations.

No Full-Text Search: CUZK search requires specific identifiers (parcel number, LV number, owner name) rather than supporting full-text search across all property records. Investigating entities with common names may require geographic filtering.

Beneficial Ownership Opacity: While CUZK records the direct legal owner of property, it does not track ultimate beneficial owners. Property held through companies requires cross-referencing with Justice.cz beneficial ownership records and ARES company data.

Historical Data Limitations: Ownership history is available through the title deed but may not extend to the full historical chain for properties with complex restitution or privatization histories from the post-1989 period.

Language: CUZK data and the nahlizeni portal are available only in Czech. Property descriptions, legal terms, and land use classifications require Czech language capability for accurate interpretation.

Data Format Complexity: VFK bulk data exports use a complex proprietary format that requires specialized parsing. The WSDP web service uses SOAP/XML protocols that may be challenging to integrate with modern REST-based systems.

Legal and Ethical Considerations

CUZK cadastral data is public information under Czech law (Act No. 256/2013 Sb.). Anyone can access basic ownership information for any property in the Czech Republic without restriction. However, several legal considerations apply to the use of cadastral data for intelligence purposes.

Personal data in cadastral records (owner names, addresses, birth numbers) is subject to GDPR protection. While the data is publicly available, its systematic collection, aggregation, and profiling constitute processing of personal data that requires a lawful basis under Article 6 GDPR. Birth numbers (rodna cisla) are particularly sensitive identifiers under Czech law and their processing requires specific justification.

The DPMR service terms of use prohibit bulk downloading for the purpose of creating competing databases and restrict redistribution of detailed title deed data. Users must agree to use data for legitimate purposes related to property transactions, legal proceedings, or authorized investigations.

Property investigations involving politically exposed persons (PEPs) should follow established due diligence procedures and document the legitimate purpose and proportionality of the investigation.

Integration with Prismatic Platform

Prismatic Platform integrates CUZK data for asset intelligence and property-based entity resolution, enabling comprehensive wealth profiling and financial crime investigation.

Asset Intelligence Pipeline

defmodule Prismatic.Intel.AssetIntelligence do
  @moduledoc """
  Combines CUZK property data with corporate registry data and financial
  intelligence to produce comprehensive asset profiles for entities
  under investigation.
  """

  def build_asset_profile(target) do
    with {:ok, properties} <- Cuzk.search_by_owner(target.name),
         {:ok, company_props} <- search_company_properties(target),
         {:ok, ares_data} <- Ares.get_by_ico(target.ico),
         {:ok, justice_data} <- get_beneficial_ownership(target.ico) do
      {:ok, %AssetProfile{
        target: target,
        direct_properties: properties,
        company_properties: company_props,
        total_estimated_value: estimate_portfolio_value(properties ++ company_props),
        encumbrance_exposure: calculate_encumbrance_total(properties),
        ownership_network: build_ownership_graph(properties, ares_data, justice_data),
        risk_indicators: assess_risk_indicators(properties),
        timeline: build_acquisition_timeline(properties)
      }}
    end
  end
end

Cross-Registry Property Analysis

Property ownership records are cross-referenced with ARES company data, Justice.cz beneficial ownership records, Insolvency Register proceedings, and Hlidac statu risk analytics to build comprehensive asset profiles. The platform detects patterns such as property held through shell companies, rapid transfers between related parties, and ownership inconsistent with declared business activities.

Geospatial Integration

CUZK cadastral maps are integrated with the platform's geospatial analysis capabilities, enabling spatial queries, proximity analysis, and visual mapping of property portfolios. The geoportal WMS/WFS services provide real-time cadastral boundary data for interactive investigation dashboards.

Best Practices

Start with nahlizeni.cuzk.cz: For initial reconnaissance, use the free portal to verify property existence and basic ownership before committing DPMR query fees for detailed title deed access.

Use ICO for Company Properties: When investigating company property holdings, search by ICO rather than company name to avoid ambiguity. CUZK allows direct ICO-based ownership searches.

Check Section D for Activity: The plomba (Section D notation) on a title deed indicates pending cadastral proceedings -- a property transfer, mortgage registration, or other transaction is in progress. This provides real-time intelligence about property activity.

Cross-Reference Encumbrances: Compare mortgage amounts in CUZK Section C with company financial data from ARES and Justice.cz to assess financial leverage and identify potential distress indicators.

Track Cadastral Territory Codes: Czech cadastral territory codes (katastralni uzemi) are essential identifiers. Maintain a mapping table between territory codes, names, and geographic coordinates for efficient geographic analysis.

Document Investigation Trail: CUZK DPMR access is logged. Maintain proper documentation of the legitimate purpose for each query to satisfy potential audit requirements and GDPR accountability obligations.

ARES - Czech business registry for owner company identification
Justice.cz - Commercial Register with beneficial ownership data
Insolvencni rejstrik - Insolvency proceedings affecting property
Registr smluv - Public contracts related to property transactions
VR.cz - Czech public registers with beneficial owners
Hlidac statu - Government watchdog for contract and subsidy analytics
CNB - Czech National Bank for mortgage creditor verification

Connect & Contribute

Created by Tomáš Korcak (korczis) | Open Source under GHL

GitHub | GitLab | LinkedIn | Contact
Developer Portal | Architecture | Meet the Creator

CUZK

Capabilities

Try CUZK

Overview

Data Sources and Coverage

Cadastral Database

Data Categories

Access Tiers

API Integration

DPMR and WSDP Services

Rate Limits and Pricing

curl Examples

Query Examples

Data Schema

Title Deed Structure (List Vlastnictvi)

Key Fields

Use Cases

Asset Tracing and Wealth Profiling

Beneficial Ownership Investigation

Money Laundering Detection

Mortgage and Collateral Verification

Environmental and Planning Due Diligence

Limitations

Legal and Ethical Considerations

Integration with Prismatic Platform

Asset Intelligence Pipeline

Cross-Registry Property Analysis

Geospatial Integration

Best Practices

Connect & Contribute

Intelligence Network

Related Content

Agent Ecosystem

Applications

Doctrine

CUZK

Capabilities

Try CUZK

Overview

Data Sources and Coverage

Cadastral Database

Data Categories

Access Tiers

API Integration

DPMR and WSDP Services

Rate Limits and Pricing

curl Examples

Query Examples

Data Schema

Title Deed Structure (List Vlastnictvi)

Key Fields

Use Cases

Asset Tracing and Wealth Profiling

Beneficial Ownership Investigation

Money Laundering Detection

Mortgage and Collateral Verification

Environmental and Planning Due Diligence

Limitations

Legal and Ethical Considerations

Integration with Prismatic Platform

Asset Intelligence Pipeline

Cross-Registry Property Analysis

Geospatial Integration

Best Practices

Related Providers

Connect & Contribute

Intelligence Network

Related Content

Agent Ecosystem

Applications

Doctrine