Mock sample for your project: Oxford Dictionaries API

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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.
The services are split into Documents and Webscans.
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
Analyze web pages so you can:
Measure the readability of your web content
Identify & highlight content issues e.g. long sentences, passive voice
The VisibleThread API allows you to programatially submit webpage urls to be scanned,
check on the results of a scan, and view a list of previous scans you have performed.
The VisibleThread API is a HTTP-based JSON API, accessible at https://api.visiblethread.com
Each request to the service requires your API key to be successful.
Getting Started With Webscans
Steps:
Enter your API key above and hit Explore.
Run a new scan by submitting a POST to /webscans (title and some webUrls are required).
The scan runs asynchronously in the background but returns immediately with a JSON response containing an "id" that represents your scan.
Check on the status of a scan by submitting GET /webscans/{scanId}, if the scan is still in progress it will return a HTTP 503. If
it is complete it will return a HTTP 200 with the appropriate JSON outlining the urls scanned and the summary statistics for each url.
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
immediately with a JSON response containins an "id" that represents your scan
Check on the status of a scan by submitting GET /documents/{scanId}, if the scan is still in progress it will return a HTTP 503. If
it is complete it will return a HTTP 200 with the appropriate JSON outlining the document readability results. It will contain detailed
analysis of each paragraph in the document
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.
Below is a list of the available API endpoints, documentation & a form to try out each operation.

ADVICEment's DynamicDocs API automates your document generation and creates dynamic, optimized, interactive PDFs. Write your templates in LaTeX and call the API with JSON data to get your PDFs in seconds.
The template files are stored in your dashboard and can be edited, tested and published online. Document templates can contain dynamic text using logic statements, include tables stretching multiple pages and show great-looking charts based on the underlying data. LaTeX creates crisp, high-quality documents where every detail is well-positioned and styled.
Integrate with ADVICEment DynamicDocs API in minutes and start creating beautiful dynamic PDF documents for your needs.
For more information, visit DynamicDocs API Home page.