Get the full story with news datasets from Nexis® DaaS
With Nexis® Data as a Service (DaaS), you can access a news dataset unrivaled in its size and breadth. Inform your insights with a mix of historical and current news articles, presented in one easy-to-use dashboard. Nexis® DaaS has the biggest news data repository in the industry, with a collection of news headlines published locally and globally—for you to digest all in one place.
What do you get with Nexis Data as a service?
Immediate access to big data
Use big data for all your financial-, corporate-, risk-, academic- and brand research.
Flexible integration in your solutions
You can easily integrate our semi-structured datasets via a BULK or RESTful API. Experience our flexible solutions.
Current and archival news and business datasets
With Nexis®, you can categorise news articles based on your company’s interests—drawing on a sea of current and archival data. Because of the collaborative relationships we maintain with content publishers and data providers, your organisation can integrate data into your processes and workflows from a robust variety of sources.
Gain the benefit of accessing a wide range of sources, all from one single data aggregator. Nexis® Data as a Service is a data aggregator drawing from 40,000 news and business sources, including:
Licensed News
80,000+ licensed print & web news from 100+ countries in 75 languages. 40+ year news archive
Historical news articles
With Nexis, you can explore 45+ years of news articles at the click of a button—giving you unprecedented context and background on relevant people and news events
Nexis® Metabase: an API that delivers news and social data in XML over HTTP
Metabase is an open-source business intelligence tool that lets you know about your data in formats that make sense, either in graphical representation or a detailed table in databases. Run queries and fetch clear results that can be formatted in different ways. Metabase is integrated with powerful tools like MySQL, MongoDB, PostgreSQL, Microsoft SQL Server, Amazon Redshift to share data and analytics.



