Discover, try and buy data & applications built on the Microsoft Azure Platform

Synonyms API

published by: Microsoft

Use the Synonyms API from Bing to discover different ways people refer to real world entities like products, people, locations and more.

Phone Check

published by: Melissa Data

Phone Check parses and validates U.S. and Canadian phone numbers to the 7 or 10-digit levels to improve telemarketing efficiency, reduce data entry errors, and eliminate redialing and operator assistance. It updates and corrects area codes; identifies phone number type as business, residential, SOHO, cell, landline, or VOIP; identifies and validates toll-free numbers; plus appends geographic/demographic data linked to the phone number location.

IP Check

published by: Melissa Data

IP Check identifies an Internet user’s geographical information, including: country; region; city; latitude and longitude; ZIP Code; ISP; and domain name using a proprietary IP address lookup database and technology.

Name Check

published by: Melissa Data

Name Check splits and genderizes full, dual, inverse and mixed format names to enable personalized communications, determine overall gender makeup of a database or list, and create targeted, gender-based campaigns for greater response. Name Parser will parse names into five components (Prefix, First, Middle or Initial, Last, and Suffix), and recognizes more than 190,000 first and last names to correct misspelled names.

Email Check

published by: Melissa Data

Email Check instantly parses and validates email addresses, corrects common typographical errors, and standardizes email addresses as they are entered to improve communication performance, increase response rates, and reduce online fraud and chargebacks.

Microsoft Translator

published by: Microsoft Translator

Microsoft Translator delivers automatic translation (Machine Translation) of a text into a specified language. It is a state-of-the-art statistical machine translation system translating between any of the supported languages, and powering millions of translations every day.

Sentiment Analysis API Built with Azure Machine Learning

published by: Azure Machine Learning

This Sentiment Analysis API is an example built with Microsoft Azure Machine Learning, which assesses the sentiment polarity of short sentences, such as Facebook statuses, tweets, etc. The underlying model is built using an Azure ML native Support Vector Machine algorithm, trained with Twitter examples. The service classifies sentiment polarity into three levels: positive, neutral, and negative. It also provides a confidence score which could be used to further tune the polarity. The purpose of the web service is to serve as an example of how to build and publish services using Azure ML modules, such as Train Model, Score Model, Two-class Support Vector Machine, Feature hashing, and others.

Green Score

published by: Versium Analytics Inc

Versium’s Green Score helps businesses identify customers who have a high likelihood of making more environmentally conscious purchase decisions so they can better target marketing campaigns and optimize lead qualification programs. The higher the Green Score, the more likely the customer or prospect will purchase green product or services.

Wealth Score

published by: Versium Analytics Inc

Versium’s Wealth Score can help companies understand the estimated net worth of their customers and prospects so they can better target their marketing campaigns and optimize their lead qualification programs. The higher the Wealth Score, the more likely the customer or prospect has a high net worth.

Giving Score

published by: Versium Analytics Inc

Versium’s Giving Score helps organizations understand which of their current contributors have a higher propensity to make larger donations and become repeat donors, as well as predicting the propensity of a prospect to donate to a charity or other organization. The higher the Giving Score, the more likely the customer or prospect will donate.