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Free Evaluation Data
Provided by Trusted Senzing Data Partners
Conducting AML, KYC, corruption, or other criminal analysis? These datasets include full sanctions data, politically exposed persons (PEP), crime data, related risk graphs, & more for All Geos.
FEATURES:
- OpenSanctions default
- Sanctions only
- GLIEF
- OpenOwnership
Interested in location-based insights? This download contains all of the data attributes you’ll find in the SafeGraph Places dataset for Washington State, Las Vegas, and Moscow.
FEATURES:
- Every SafeGraph Attribute
- Washington State
- Las Vegas
- Moscow
Want to enrich your data about the people and organizations you do business with? This download contains company data for Washington State, Las Vegas, and Oregon State.
FEATURES:
- Company Name
- Address
- Website
- LinkedIn ID
Additional Free Data
Senzing-Ready JSON Files
More Senzing-ready JSON files we’ve prepared to accelerate your evaluation:
Why Use Senzing-Ready JSON Data?
The Advantages of Pre-Formatted Files
With Senzing-ready JSON Data, manual mapping is eliminated, streamlining your data integration process.
The third-party data sources featured on this page have already completed the necessary formatting work. This data is meticulously ‘certified’ for seamless loading into Senzing, ensuring accuracy and efficiency in your data operations. Learn more about our trusted data partners.
I heard about the OpenSanctions Senzing-ready JSON during a Senzing user conference. I texted the office, and they downloaded it. Then, they ingested it into Senzing while Frederick, the founder of OpenSanctions, was still giving his keynote!
— (Undisclosed) Government Employee
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IMPORTANT DISCLAIMERS
• Third-party data sources in Senzing-ready JSON formatted files are provided “as is” without warranty of any kind. In no event shall Senzing, Inc. be liable for any claim, damages, or other liability arising from or in connection with the use of such data sources, including but not limited to updates to the JSON files.
• The Senzing-ready JSON links provided are snapshots from the past, so the information is out of date.
• Many organizations have multiple legal entities, sometimes similarly named. Without more data, Senzing may match these entities if they are located at the same business address. Such duplicates are likely legitimate. Note: as more data is loaded, these overmatches begin to automatically self-correct, which is a unique capability of Senzing.