The following is a list of arguments you can add to a Diffbot API call in order to reduce processing time when calling the Article or Analyze APIs:

We added support for the Stock Price News Category in the Natural Language API.

Added Organization.suppliers to the graph, i.e. type:Organization suppliers.name:"Diffbot"

Added Place.headOfPlace and corresponding employment
Heads of state and heads of government

Coverage Reports for Bulk Enhance Jobs (CSV)
The Coverage Report is a detailed summary of attribute coverage, per entity, and includes the % coverage per field in the dataset overall. The report is downloadable as a CSV from the Report API: https://kg.diffbot.com/kg/v3/enhance/bulk//. The report information is also included in the Enhance Bulk job Status API response: https://kg.diffbot.com/kg/v3/enhance/bulk//status, and can be specified for inclusion with the parameters filter or exportspec

We improved the Organization.revenue estimation model and extended coverage to 95+% of all organization profiles in the KG. Search: type:Organization has:revenue to explore all or narrow in on corporations by searching type:Corporation has:revenue.

We added a new ML model for Organization.isNonProfit, increasing the accuracy and coverage for non-profit organizations in the KG.

docs.diffbot.com got a HUGE makeover recently. We've migrated over 250 pages from 3 separate documentation sites and organized multiple API specifications into the same view. Our favorite new feature is the ability to test APIs directly in the docs. Enter some input parameters and submit to get a response immediately. Then copy the request code into your application. Try it out with the DQL Search API.

We've added a new Organization attribute "diffbotClassification" that expands industry classification to three or more levels, e.g.

We are slowly rolling out support for 'technographics' as an attribute of Organizations. Ultimately, there will be many sources of this data and coverage across all Organizations in the graph. To start, more than 8.5Mil companies include some level of technographic data. Below is an example of how the technology is represented in the default JSON output (excerpted from the IBM entity).