Twinword, Inc. / twinword / Twinword, Inc.
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a1Hi prabin.mpercept, It looks like you might be using the HTTP GET method where the texts you're comparing are placed in the query string of the URL. Here is an example of text1 and text2 inside the URL of a GET request: https://twinword-text-similarity-v1.p.rapidapi.com/similarity/?text1=some+text&text2=some+other+text [PROBLEM] When the text is large, this will make the URL too long, thus giving you this specific error. [SOLUTION] Instead, you can try using an HTTP POST method instead. This would put the texts you're comparing into the body of the HTTP request and leaving your URL with just the endpoint. This will make your POST request URL just the following: https://twinword-text-similarity-v1.p.rapidapi.com/similarity/ In the texts you're comparing in the body of the POST request: text1=some+text&text2=some+other+text Please let me know if you have any questions. Good luck! Team Twinword
Fri 12:0921/6/19
a1Hi, thank you for your interest in our API. Could you please email us at [email protected] with more detailed information? Best regards, Team Twinword
Wed 11:3919/6/19
a1Hi immobiliovunque, There might be an issue with your RapidAPI account. Please check the FAQ, or contact them via [email protected] I hope that helps. Best, Team Twinword
Tue 12:0419/3/19
a1Hi Jones, Thank you for your interest. My name is Denise from Twinword. Let me see if I can help. Technically you should be able to do that with our emotion analysis API. You can check out the free demo to do some testing:https://www.twinword.com/api/emotion-analysis.php Unfortunately, we do not have a free program for educational / scientific purposes. However, you still have two options to get a free or discounted price. Option 1: If you have promotional AWS credits, you can see if they support Amazon SageMaker and AWS ML Marketplace. If they do, you can potentially use those credits by subscribing to our Emotion Analysis inference model there and using it to do a batch transform on Amazon SageMaker. Here is a link to the inference model. https://aws.amazon.com/marketplace/pp/prodview-ulgc2gbek4sos Option 2: We do offer an educational discount of 30% off our PRO and ULTRA plans on Mashape/RapidAPI. If you would like more information about that discount and how to apply, please let me know. If there is anything else I can help with, please feel free to reach out again. Best regards, Denise Twinword, Inc.
Thu 12:4017/1/19
a1Hi gilta, Thanks for your interested and reaching out. Mashape or RapidAPI marketplaces WILL charge you for overages if you go over the free monthly quota. Unfortunately, as far as I know, there is no way to set Mashape or RapidAPI to have any sort of spending limit. If you have questions regarding Mashape or RapidAPI, you can reach out to them at [email protected] as they handle all billing and quota issues. Feel free to reach out if you have any further questions. Thanks for your interest! Sincerely, Team Twinword
Thu 5:2320/12/18
a1Hi Andrea, Thank you for your interest and for using our API. The monthly limit is refers to API requests. Accordingly, you can make 10,000 API requests per month with the basic subscription of our Text Similarity API. Regarding your usage, unfortunately, Mashape (the API marketplace) handles all the logistics from billing to metering. We have no way to tell if a request is from one user or another. From our point of view, all requests come from Mashape. I also tried searching Mashape and could not find any APIs where you can ping your current usage. Accordingly, from our site there is no possibility to tell us how many requests you have made. Please feel free to contact us anytime if you have any further questions. Sincerely, Team Twinword
Thu 8:0715/11/18
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Install SDK for NodeJS

Installing

To utilize unirest for node.js install the the npm module:

$ npm install unirest

After installing the npm package you can now start simplifying requests like so:

var unirest = require('unirest');

Creating Request

unirest.("https://")
.header("X-RapidAPI-Key", "SIGN-UP-FOR-KEY")
.header("Content-Type", "application/x-www-form-urlencoded")
.end(function (result) {
  console.log(result.status, result.headers, result.body);
});
OAuth2 Authentication
Client ID
Client Secret
OAuth2 Authentication