Mock sample for your project: Oxford Dictionaries API

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Oxford Dictionaries

oxforddictionaries.com

Version: 1.11.0


Use this API in your project

Speed up your application development by using "Oxford Dictionaries API" ready-to-use mock sample. Mocking this API will allow you to start working in no time. No more accounts to create, API keys to provision, accesses to configure, unplanned downtime, just work.
It also improves your integration tests' quality and reliability by accounting for random failures, slow response time, etc.

Description

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Introduction
The VisibleThread b API provides services for analyzing/searching documents and web pages.
To use the service you need an API key.
Contact us at [email protected] to request an API key.
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Documents
Upload documents and dictionaries so you can :
Measure the readability of your document
search a document for all terms from a dictionary
retrieve all paragraphs from a document or only matching paragraphs
Webscans
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Measure the readability of your web content
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Retrieve all your previous scan results by submitting GET /webscans.
Retrieve detailed results for a url within a scan (readability, long sentence and passive language instances) by submitting
GET /webscans/{scanId}/webUrls/{urlId} (scanId and urlId are required)
Getting Started With Document scans:
Steps:
Enter your API key above and hit Explore
Run a new scan by submitting a POST to /documents (document required). The scan runs asynchronously in the background but returns
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Retrieve all your previous scan results by submitting GET /documents
Searching a document for keywords
The VisibleThread API allows you to upload a set of keywords or a 'dictionary'. You can then perform a search of a already uploaded document
using that dictionary
Steps (Assuming you have uploaded your document using the steps above):
Upload a csv file to use as a keyword dictionary by submitting a POST to /dictionaries (csv file required). This returns a JSON
response with the dictionary Id
Search a document with the dictionary by submitting a POST to /searches (document id and dictionary id required).
Get the resuhlts of the search by submitting **GET /searches/{docId}/{dictionaryId}" . This will return JSON response containing
detailed results of searching the document using the dictionary.
To view the list of all searches you have performed submit a GET /searches.
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