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.
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 401 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.
How we’re adding PEP data sources faster: The Australian example
Tags: PEP, Australia, Tranche 2 · Published:
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.
Should you run the OpenSanctions API yourself?
Tags: API · Published:
Our screening service offers the same matching and scoring capabilities whether you run it inside your own infrastructure or via the hosted API. Below, we break down the factors to consider when deciding between the two – including data residency requirements, screening volumes, and operating costs.
Dataharvest 2026: Sessions you won’t want to miss
Tags: Investigative journalism, Data journalism, Dataharvest 2026 · Published:
Europe’s investigative journalism conference, Dataharvest, brings together reporters and analysts from across the continent to discuss the latest in data journalism and investigative reporting. Here are six sessions you’ll want to catch, from financial investigations to tracking the shadow fleet.
How LLMs are changing screening
Tags: LLMs, Entity resolution, Narrative matching · Published:
A shift towards narrative matching is redefining the compliance industry's data needs. Here at OpenSanctions, experiments using Large Language Models (LLMs) to deduplicate sanctioned and politically exposed entities are already reshaping how we collect data.
Collections & datasets JSON
Collections are data distributions provided by OpenSanctions that combine entities from many sources based on a topic. Learn more...
Consolidated Sanctions
100,164 entities
Consolidated list of sanctioned entities designated by different countries and international organisations. This can include military, trade and travel restrictions.
OpenSanctions Default
2,026,040 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 | 216,626 | ||
| Know-Your-Business (KYB) Datasets | monthly | 104,123,093 | ||
| Maritime-related sanctions | daily | 135,419 | ||
| Politically Exposed Persons Datasets | daily | 945,618 | ||
| Regulatory Watchlists | daily | 174,140 | ||
| Sanctioned Securities | daily | 276,126 | ||
| Warrants and Criminal Entities | daily | 268,725 | ||
