Of the many APIs we published this week, ten were highlighted on the blog by our team of writers. In this post, we’ll shine a spotlight on those ten, which included the Data Dryad DataOne API. The API gives developers programmatic access to Dryads repository of scientific publications. This is just one step of Dryads goal of developing a joint data archiving policy (JDAP), allowing third parties, research institutions, and scientific publications to be shared. Their goal, at least right now, is to broaden the access of scientific data for all. To learn more about the Dryad API visit the Dryad site as well as the Dryad API blog post.
An API for open data sets only makes sense if there is a high enough demand for their integration. Exversion is banking on this idea with the release of their Exversion API. The API gives developers the necessary functionality they need to search and access Exversion data from their platform. Data is continually increasing in value as new things emerge that allow for limitless integration and creation using data. The ultimate goal is getting once holders of private data to share it on the platform and charge others to use it. To learn more about the Exversion API visit the Exversion site as well as the Exversion API blog post.
Tired of trying to persuade someone using group information when what persuades them is purely individual. If that’s the case, you may be interested in the Persuasion API. The Persuasion API leverages the growing personal information on the web to create individualized profiles. From these “persuasion profiles” each individual user that visits a site receives individual communication that will most likely prompt them to buy or visit the site again. Users are no longer considered average now that personal adds campaigns can be created. To learn more about the Persuasion API visit the Persuasion site as well as the Persuasion API blog post.
Google has announced the revamp of the Google Visualization API. The new features include timeline charts, donut charts, customizable tick values and labels, and etc. To go a little more in depth, timeline charts visually show how sets of resources are used over time. These can be used for project management, schedules, time management, and deadlines to name a few. Donut charts are just pie charts with a hole removed from the center. Some other improvements include Map Data Refresh, Explict Ticks, and Bounding Boxes. To learn more about the Google Visualization API visit the Google Visualization site as well as the Google Visualization API blog post.
DatumBox gives developers the power to integrate machine-learning platform tools into their applications, websites, or software. These tools consist of text analysis, sentiment analysis, Twitter analysis, spam detection, social media monitoring services and more. Specifically, the DatumBox API leverages natural language processing and text analysis services, which transforms written text into data that can be analyzed and learned from. It operates by using RPC, a rest-like style, in which HTTP requests are returned in JSON. To learn more about the Datumbox API visit the Datumbox site as well as the Datumbox API blog post.