Mock sample for your project: NamSor API v2

Integrate with "NamSor API v2" from namsor.com in no time with Mockoon's ready to use mock sample

NamSor API v2

namsor.com

Version: 2.0.15


Use this API in your project

Integrate third-party APIs faster by using "NamSor API v2" 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.
Improve your integration tests by mocking third-party APIs and cover more edge cases: slow response time, random failures, etc.

Description

NamSor API v2 : enpoints to process personal names (gender, cultural origin or ethnicity) in all alphabets or languages. By default, enpoints use 1 unit per name (ex. Gender), but Ethnicity classification uses 10 to 20 units per name depending on taxonomy. Use GET methods for small tests, but prefer POST methods for higher throughput (batch processing of up to 100 names at a time). Need something you can't find here? We have many more features coming soon. Let us know, we'll do our best to add it!

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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
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retrieve all paragraphs from a document or only matching paragraphs
Webscans
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Enter your API key above and hit Explore.
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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
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Retrieve all your previous scan results by submitting GET /webscans.
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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
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using that dictionary
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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.

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