We collect, clean, and aggregate data from hundreds of sanctions lists, watchlists, and PEP registries worldwide. Our name-cleaning framework is designed to provide a culturally aware approach while ensuring all sources enter OpenSanctions speaking one data language.
Supreme Data on Supreme Leaders
The open-source database of sanctions, watchlists, and politically exposed persons — aggregating hundreds of sources and relied on by compliance teams, investigators, and journalists.
People and companies that matter
Persons of interest data provides the key that helps analysts find evidence of sanctions evasion, money laundering and other criminal activity.Clean and transparent data
Our open source data pipeline takes on the complex task of building a clean, de-duplicated, and well-understood dataset.Sources with global scope
We integrate data from 461 global sources, including official sanctions lists, data on politically exposed persons and entities of criminal interest.Use OpenSanctions to manage business risk
OpenSanctions is free for non-commercial users. Business and commercial users must either acquire a data license to use our high-quality dataset, or subscribe to our pay-as-you-go API service.
What we’ve been building RSS
Updates from OpenSanctions, including new features, technical deep dives, and analysis.
Newsletter
Monthly news about product and data coverage improvements.
Lost in translation: Standardizing our name-cleaning framework
Tags: Semantics, Names, Name cleaning · Published:
Down the ownership chain: introducing sanction.control
Tags: Company ownership, OFAC, Assets, Risk tagging · Published:
We now distinguish ownership from adjacency when annotating related entities.
sanction.controlcaptures subsidiaries, assets, and vessels anywhere in a sanctioned party's ownership chain, whilesanction.linkedis reserved for plain adjacency.How Marble built on top of our open-source matcher
Tags: Marble, Open infrastructure, yente · Published:
Our open methodology enabled transaction monitoring provider Marble to build on top of our matching algorithms without reinventing the wheel. It led to Motiva: a reimplementation optimized to handle high-concurrency, real-time screening. And it shows the power of an open ecosystem for the wider industry.
How we’re adding PEP data sources faster: The Australian example
Tags: PEP, Australia, Tranche 2 · Published:
Tranche 2 reforms will see AML screening and monitoring requirements extended to a range of Australian industries. Below, we explain how our tooling investments have enabled us to delve into Australia’s political structure to efficiently deepen and expand our PEP data.
How we reverse-engineered OFAC's sanctions screening algorithm
Tags: OFAC, Name matcher · Published:
Our new name matcher emulates the public OFAC Sanctions List Search tool, with mismatch qualifiers layered on top.
Collections & datasets JSON
Collections are data distributions provided by OpenSanctions that combine entities from many sources based on a topic. Learn more...
Consolidated Sanctions
102,560 entities
Consolidated list of sanctioned entities designated by different countries and international organisations. This can include military, trade and travel restrictions.
OpenSanctions Default
1,974,319 entities
This distribution includes the data collected by OpenSanctions that meets quality standards and would be useful in a screening system or for investigative use.
Special interest collections contain selections of the data that are more specialised than the default collections.
| Name | Updates | Entities | ||
|---|---|---|---|---|
| Debarred Companies and Individuals | daily | 207,668 | ||
| Know-Your-Business (KYB) Datasets | monthly | 92,905,091 | ||
| Maritime-related sanctions | daily | 144,947 | ||
| Politically Exposed Persons Datasets | daily | 929,045 | ||
| Regulatory Watchlists | daily | 168,284 | ||
| Sanctioned Securities | daily | 288,271 | ||
| Warrants and Criminal Entities | daily | 262,550 | ||
