OpenSanctions helps investigators find leads, allows companies to manage risk and enables technologists to build data-driven products.
273,157 targets · 61 data sources · updated · get bulk data
Updates from the OpenSanctions project, including new features, technical deep dives, and analysis.
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.
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.
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.
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.
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.
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.
Since its launch last September, OpenSanctions has nearly doubled its scope to 204,000 persons and entities of interest from across 43 data sources.
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.
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.
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.
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.
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.
We are introducing business licenses for OpenSanctions as a way for companies using the data to support our long-term sustainability.
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.
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.
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...
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 list of sanctioned entities designated by different countries and international organisations. This can include military, trade and travel restrictions.
A politically exposed person (PEP) is a person that has been entrusted with a prominent public function. PEPs include elected officials, members of government.
Companies and people implicated in or convicted of criminal activity, including the "Most Wanted" lists of various countries and international authorities.