25 Useful APIs for Book Discovery

We are proud to be part of the first Publishing Hackathon!  The organizers of the Publishing Hackathon are inviting designers, engineers, programmers, an entrepreneurs to spend 36 hours together in teams to developer a new approach to digital book discovery. The Publishing Hackathon will take place on May 18th and 19th at The Alley NYC, the leading digital co-working space in New York. The participants will be briefed by a cross-section of book publishing leaders, and then will form teams to create apps, websites, programming or businesses that can address the issue of book discovery in  this rapidly evolving landscape. At the...

Unicorn has become Unirest

Yesterday, we released our newest open-sourced project, which we named Unicorn. Unfortunately, that was also the name of two existing open sourced projects. We really dropped the ball, and have been working hard to clean up the mess.  Our apologies to anyone in the Ruby or Python community who was confused or pissed off.  Hopefully you can look past our mistake and see the value in this project. Since yesterday, we have decided on a new name, Unirest, which we think is a great fit for the project. We also made a new website, changed out all the docs, and...

List of 20+ Sentiment Analysis APIs

Just a few days back we posted a List of 50+ Machine Learning APIs. The APIs below are a Sentiment Analysis subset group from that Machine Learning API list.  Sentiment Analysis refers to “the application of natural language processing, computational linguistics, and text analytics to identify and extract subjective information in source materials.” We hope you’ll it find useful! Sentiment Analysis for Social Media - The multilingual sentiment analysis API (with exceptional accuracy, 83.4% as opposed to industry standard of 65.4%, and available in Mandarin) from Chatterbox classifies social media texts as positive or negative, with a free daily allowance to...

Releasing Unicorn into the wild

UPDATE: We’ve got a lot of comments and suggestions on the ‘Unicorn’ naming. We apologize for the confusion and are working on finding a new name. Have a suggestion? Tweet us @mashape UPDATE #2: We picked a new name, unirest.io is up and running. UPDATE #3: Check our latest post on “Unicorn has become Unirest” Here at Mashape, we use a lot of open source. Our tech stack includes a lot of popular frameworks and libraries which have allowed us to rapidly iterate and develop what we feel is the best cloud API proxy and marketplace the universe has...

Yoda teaches APIs

Into APIs now, Yoda is…...

Consuming Machine Learning APIs with Python

In this short tutorial we will use Python in our Mac Terminal to consume one of the Machine Learning APIs in this list.  Let’s pick DuckDuckGo. DuckDuckGo lets us define people, places, things, words, and concepts.  It also provides a list of related topics.  This is very useful if you want to get some context on a certain text. Although we’re picking DuckDuckGo, note that the steps below also applies to the rest of the APIs in the Machine Learning APIs list, and all Mashape APIs.  That means you can swap in and swap out APIs for your applications...

The Growth Hacking Manifesto

Our very own Montana Flynn has released a new project codenamed the growth hacking manifesto. If you haven’t heard the buzzword yet, you’re probably not living in San Francisco. The project is a compilation of his own notes, experiments, and thoughts on all things user acquisition and retention. If you have a company, product, API, or are remotely interested in tech startups we suggest you take a look. In the first article, What The FSCK is Growth Hacking?, Montana explains what a growth hacker is and how they change the way we think of user growth. Here’s the TL;DR:...

List of 50+ Machine Learning APIs

Wikipedia defines Machine Learning as “a branch of artificial intelligence that deals with the construction and study of systems that can learn from data.” (If you arrived here looking for how to add or list an API to Mashape, you check out the Tutorials section here). Below is a compilation of APIs that have benefited from Machine Learning in one way or another, we truly are living in the future so strap into your rocketship and prepare for blastoff. OCR recognition service - Ocrapiservice.com is an cloud based optical recognition engine. We take images as input and we reply with text as...

23 ways to help promote your API to developers

Provide a better documentation flow Keep your documentation up-to-date Answer questions in sites like Quora Help developers in Stackoverflow Provide sample responses to your API’s endpoints Make your API easy to consume – RESTful, etc. Build relationships with fellow API developers Allow developers to comment/provide feedback to your APIs Provide freemium access Show health statistics of your API Join hackathons Host hackathons Create tutorials Build client libraries Craft verbose client library documentation Blog about your API and its progress Use other APIs Provide sample code Check what fellow APIs in the same category are doing Provide a test console...

AI Netizens: The State of Agents Online

Watch Jeff Kramer’s (@jeffk) talk on the… “history of agents and bots, and how we design and develop bot platforms for the future. We touch on MUD and IRC bots, Weavrs, Siri, Google Now, the Internet of Things, PaaS architectures, the API of Me, Xenobi and a bunch of other things” On Mashape, Jeff makes an interesting point on the purpose of an API Marketplace to facilitate the transferability of processing units through APIs.  He uses the Chatterbox Sentiment Analysis API as an example. You can watch the talk below (and skip to the Mashape part here)....