find_missing
Does this LEI-holding company exist in the registry its jurisdiction expects? 6 national registries. Free key, pay per use.
Data that doesn't exist. Until we build it.
What was declared, versus what physically exists. Measured independently, with evidence.
We measure physical change in real-world assets from public data — and compare it against what was officially declared. Machine-readable, evidence-backed, self-service.
Products
Does this LEI-holding company exist in the registry its jurisdiction expects? 6 national registries. Free key, pay per use.
A company won a real EU public contract (TED) — is it still active, dissolved, or in insolvency today? ES/FR/GB/HU, same engine as find_missing. Free key, pay per use.
How much did this site physically change between two dates? LiDAR-validated; 390+ measured sites published with downloadable evidence.
Chinese industrial projects in Europe: declared status vs documented reality. Request access.
Watch AI dataset licenses for silent changes before you ingest.
LiDAR-verified no-change polygons: hard negatives for change-detection models. Free on HF & ModelScope.
What EPA declares about a landfill's fill rate vs. what we independently measure — 330 US sites, including a real, quantified blind spot in the sensor itself. Free, CC-BY 4.0.
Vulnerability severity across independent sources (NVD, GHSA, vendor PSIRTs, CISA-ADP) — 53.2% disagree on severity category when more than one source scores the same CVE. Free checker, paid batch up to 10,000.
Traceable by design
Every answer distinguishes what was declared from what was independently measured — never blurred, always labeled.
Designed for technical teams.
Structured and unstructured data · API-ready delivery · entity resolution · temporal and geospatial intelligence · provenance · confidence scoring · edge-case and reality intelligence.
find_missing — checks whether an LEI-holding entity has a high-confidence match in the national commercial registry its own declared jurisdiction would expect (UK Companies House, Spain BORME, France SIRENE).
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API ·
GitHub ·
PyPI ·
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Buyer Support & Contact
NKO Data Labs provides direct support for prospective and existing customers, including product information, marketplace assistance, data delivery questions and custom data requirements.
contact@nkodatalabs.comLegal company
NKO LLC
Operator of NKO Data Labs
Registered agent: Harvard Business Services, Inc.
16192 Coastal Highway
Lewes, Delaware 19958
United States
Buyer & technical support:
contact@nkodatalabs.com
Support requests are normally answered within one business day.