Grow VC API Search Results & Alternatives
Sports Open Data is a project started in June 2015 created by Paolo Riva, Riccardo Quatra and Fabio Sgroi. This project was born by a need we've found when looking for statistics in Sports: no website offers its data in an Open Data way. Sports Open Data will work in this way: by providing a JSON REST API, Sports Open Data allow you to manage data for every single match we've stored on our database. And that's not over: Sports Open Data has been structured as an Open Organization: feel free to partecipate to our project or simply be part of our community to make it grow day by day. Open Data created by users for users.
Related APIs in Category: Social
Yotpo is taking reviews social being a fun, social way for your e-commerce customers to read and write reviews! BEFORE YOU BEGIN, you must sign for a free account at Yotpo: https://www.yotpo.com/register , and you are more than welcome to further read on us at: http://www.yotpo.com . We also encourage first time users to checkout our example sites where Yotpo is installed: http://magento.yotpo.com/ http://shop.yotpo.com for list of existing customers please refer to our website. Yotpo API, works above the Yotpo Social Reviews service. It is designed to create more customised solutions for Yotpo customers, and to let them smartly integrate with Yotpo's system. Stayed tuned, the Yotpo API is a work in progress.
This API allows you to evaluate the risk of a message containing inappropriate content. This risk rating can then be used as an indicator that moderation is required. If you supply a user identifier, a user profile will be maintained of key statistics. Note this will only be kept for users that are active in the last 2 months.
Online social networks profile matcher helps you identify an individual through different social networks. Is there a correlation between usernames on different SNS connecting real individuals? This API let you find this correlation, based on behavioural patterns user displayed while selecting their usernames and information redundancies. The correlation is found with a classifier trained over a large number of different social network services profiles. More info about how this is done on the website.
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