Find sanctions targets and persons of interest

OpenSanctions helps investigators find leads, allows companies to manage risk and enables technologists to build data-driven products.

1,447,388 entities · 89 data sources · updated · get bulk data

People and companies that matter

Persons of interest data provides the key that helps analysts find evidence of corruption, money laundering and other criminal activity.

Clean data and transparent process

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 over eighty 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.

News & updates

Updates from the OpenSanctions project, including new features, technical deep dives, and analysis.

  • Announcing the logic-v1 scoring mechanism

    Announcing the logic-v1 scoring mechanism

    OpenSanctions is constantly improving our services, and we’ve just released a new version of our API software, `yente`, that lets users try a new matching system. False positives and accuracy are a wicked problem across the AML space, and we’re actively working to improve the precision of our results.

    · Matching · API · Scoring
  • New scoring modes in the OpenSanctions API

    New scoring modes in the OpenSanctions API

    You can now select from a range of different algorithms that score your results when you use the OpenSanctions API to screen a set of companies and people.

    · API · Scoring
  • Introducing our new Advanced Screening search

    Introducing our new Advanced Screening search

    We're introducing a new advanced screening search, which lets you use multiple search criteria and fuzzy matching to identify watchlist entities.

    · Website · Screening
  • StoryWeb: Experiments in building graph data from journalistic texts

    StoryWeb: Experiments in building graph data from journalistic texts

    We've been working on a simple tool for building networks of people and companies in the news out of media reporting. Until this can become an adverse media tool, signficant work remains to be done.

    · NLP · Adverse Media
  • Expanding OpenScreening, powered by OpenSanctions KYB

    Expanding OpenScreening, powered by OpenSanctions KYB

    Analyze and explore the relationships between beneficial owners, sanctions and politicians with OpenScreening, powered by OpenSanctions KYB data.

    · Beneficial Ownership · Graph
  • Understanding interrelationships in the ‘Security State’ in the Middle East

    Understanding interrelationships in the ‘Security State’ in the Middle East

    Canadian data scientist and activist Wael Alalwani wants to map relationships between members of what he calls the ‘Security State’ - business elites, political actors, army generals and others.

    · Syria · PEPs
  • Introducing the new OpenSanctions API

    Introducing the new OpenSanctions API

    As we’ve been speaking to businesses and organizations interested in OpenSanctions, we’ve seen a clear need amongst them for an easy-to-integrate, software-as-a-service API.

    · API · Hosted Service
  • Digging into sanctioned companies using OpenCorporates

    Digging into sanctioned companies using OpenCorporates

    Both OpenSanctions and OpenCorporates provide powerful data building blocks for compliance. By linking our databases up, we make it easier to track assets or assess exposure.

    · Companies · Linkage
  • Weaving a deeper sanctions web using data enrichment

    Weaving a deeper sanctions web using data enrichment

    We're adding linked data from the GLEIF company database and the ICIJ OffshoreLeaks to enrich the corporate targets in our system with relevant ownership or officership relations.

    · Companies · Beneficial Ownership
  • Self-hosted and extensible: the OpenSanctions API

    Self-hosted and extensible: the OpenSanctions API

    In this post, we’ll explain how you can use our open source components to build a customized sanctions and PEPs matching service - on your own premises, with your own data, with complete privacy and meeting your own requirements.

    · API · yente
  • Improving the way we score matching results

    Improving the way we score matching results

    Our updated API uses a statistical model to determine if your query matches one of the entities in the OpenSanctions database. As we do this, we put a premium on transparency and share both the training data and scoring code.

  • What is next for OpenSanctions?

    What is next for OpenSanctions?

    Since its launch last September, OpenSanctions has nearly doubled its scope to 204,000 persons and entities of interest from across 43 data sources.

  • Using graph analytics to find evidence of corruption

    Using graph analytics to find evidence of corruption

    In cooperation with Linkurious, we worked to develop a network graph view of the OpenSanctions data and demo how it can be used in anti-corruption and money laundering investigations.

  • How-to: Using the matching API to do KYC-style checks

    How-to: Using the matching API to do KYC-style checks

    Know-Your-Customer (KYC) checks are a different challenge to normal text searches: your query is supposed to describe a person or company in some detail to allow the OpenSanctions API to check if that entity (or a similar one) is flagged.

  • We're now integrating persons of interest from Wikidata!

    We're now integrating persons of interest from Wikidata!

    The structured-data edition of Wikipedia offers a compelling source of information on many persons in the public eye. Mining the data is, however, not for the faint of heart.

  • The CIA lost track of who runs the UK, so I picked up the slack

    The CIA lost track of who runs the UK, so I picked up the slack

    A guest post from Tony Bowden about his efforts to build an open source dataset of world leaders inside of Wikidata, the structured-data version of Wikipedia.

  • How to sanctions-check a spreadsheet using OpenRefine

    How to sanctions-check a spreadsheet using OpenRefine

    OpenRefine, a power tool for data cleaning, offers a way to quickly check hundreds or thousands of names against the OpenSanctions database to find the ones that might be persons of interest in an investigation.

  • Introducing business licenses for OpenSanctions

    Introducing business licenses for OpenSanctions

    We are introducing business licenses for OpenSanctions as a way for companies using the data to support our long-term sustainability.

  • Using ICIJ DataShare to sanctions-check a document leak

    Using ICIJ DataShare to sanctions-check a document leak

    OpenSanctions is a resource for journalists to find leads in document stashes. But in order to use it, you need a tool that can help you search sanctioned entities inside your documents.

  • How we deduplicate companies and people across data sources

    How we deduplicate companies and people across data sources

    One key function of OpenSanctions is to match and de-duplicate data from many sanctions lists. In this article, we discuss our approach to matching and merging list duplicates.

  • Presentation: What is OpenSanctions?

    Presentation: What is OpenSanctions?

    Our colleagues at the OpenOwnership initiative gave us an opportunity to present a very quick introduction about the OpenSanctions project. Have a look at the recording!

See all of our project updates...

Collections

Collections are datasets provided by OpenSanctions that combine data from various data sources focussed on a topic.

OpenSanctions Default
89 data sources · 1,447,388 entities

This collection includes most of the data collected by OpenSanctions which meets quality standards and would be useful to an analyst or journalist attempting to perform a due-diligence type task.

Consolidated Sanctions
38 data sources · 57,013 entities

Consolidated list of sanctioned entities designated by different countries and international organisations. This can include military, trade and travel restrictions.

Politically Exposed Persons (PEPs)
13 data sources · 297,126 entities

A politically exposed person (PEP) is a person that has been entrusted with a prominent public function. PEPs include elected officials, members of government.

Warrants and Criminal Entities
16 data sources · 130,153 entities

Companies and people implicated in or convicted of criminal activity, including the "Most Wanted" lists of various countries and international authorities.