What Nexis Data as a Service can do

Data lies at the heart of digital transformation. Whether forecasting with predictive analytics or conducting trend analysis, improving competitive intelligence or ensuring accuracy and compliance, we provide the complementary third-party data your organization needs to make strategic, data-driven decisions. Enhance your data analysis and business intelligence with data that can be trusted, accessed and analyzed when and how it’s needed with Nexis® Data as a Service.

Meet our APIs

Search & Retrieve API Delivers

Search and retrieve result sets—within your own user interface—to take advantage of our vast data universe without the technical demands and costs associated with hosting.

Bulk Delivery of the Data you Need

Receive a delivery of bulk data with the ability to subscribe via API to a constant update of feeds. With a data archive reaching back more than 40 years, data mining, modeling, and predictive analytics become more scalable and agile on premise.

RESTful API Offers Maximum Flexibility

Meet the needs of diverse data users with our RESTful API that supports multiple types of calls and different data formats.

Constant Call API to Keep Up with Critical Data

Manage risk and opportunity more efficiently with a constant call API that delivers key data points to your users.

Why Nexis Data as a Service?

Predictive analytics, machine learning algorithms and other artificial intelligence applications won’t run on empty. Nexis Data as a Service (DaaS) offers bulk, constant call data APIs and on premises applications for delivering highly-relevant, archival and current datasets to power your big data projects. Our expansive source universe features petabytes of semi-structured, normalized and enriched text-based data to meet a wide range of data needs.

40+ Year Archive

80K Sources

80M Companies Covered

13K+ Topics

75 Languages

100+ Countries

Access Our Developers Portal

Call us at 1-888-46-NEXIS or complete the form below to gain access to our developers portal and sample schema.