Mock sample for your project: Geneea Natural Language Processing API

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Geneea Natural Language Processing

geneea.com

Version: 1.0


Use this API in your project

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

Description

Authentication
For all calls, supply your API key. Sign up to obtain the key .
Our API supports both unencrypted (HTTP) and encrypted (HTTPS) protocols.
However, for security reasons, we strongly encourage using only the encrypted version.
The API key should be supplied as either a request parameter user_key or in Authorization header.
Authorization: user_key
API operations
All API operations can perform analysis on supplied raw text or on text extracted from a given URL.
Optionally, one can supply additional information which can make the result more precise. An example
of such information would be the language of text or a particular text extractor for URL resources.
The supported types of analyses are:
lemmatization ⟶
Finds out lemmata (basic forms) of all the words in the document.
correction ⟶
Performs correction (diacritization) on all the words in the document.
topic detection ⟶
Determines a topic of the document, e.g. finance or sports.
sentiment analysis ⟶
Determines a sentiment of the document, i.e. how positive or negative the document is.
named entity recognition ⟶
Finds named entities (like person, location, date etc.) mentioned the the document.
Encoding
The supplied text is expected to be in UTF-8 encoding, this is especially important for non-english texts.
Returned values
The API calls always return objects in serialized JSON format in UTF-8 encoding.
If any error occurs, the HTTP response code will be in the range 4xx (client-side error) or
5xx (server-side error). In this situation, the body of the response will contain information
about the error in JSON format, with exception and message values.
URL limitations
All the requests are semantically GET. However, for longer texts, you may run into issues
with URL length limit. Therefore, it's possible to always issue a POST request with all
the parameters encoded as a JSON in the request body.
Example:
POST /s1/sentiment
Content-Type: application/json
{"text":"There is no harm in being sometimes wrong - especially if one is promptly found out."}
This is equivalent to GET /s1/sentiment?text=There%20is%20no%20harm...
Request limitations
The API has other limitations concerning the size of the HTTP requests. The maximum allowed size of any
POST request body is 512 KiB. For request with a URL resource, the maximum allowed number of
extracted characters from each such resource is 100,000.
Terms of Service
By using the API, you agree to our
Terms of Service Agreement.
More information
The Interpretor Public Documentation

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Geneea Natural Language Processing

geneea.com
Authentication
For all calls, supply your API key. Sign up to obtain the key .
Our API supports both unencrypted (HTTP) and encrypted (HTTPS) protocols.
However, for security reasons, we strongly encourage using only the encrypted version.
The API key should be supplied as either a request parameter user_key or in Authorization header.
Authorization: user_key
API operations
All API operations can perform analysis on supplied raw text or on text extracted from a given URL.
Optionally, one can supply additional information which can make the result more precise. An example
of such information would be the language of text or a particular text extractor for URL resources.
The supported types of analyses are:
lemmatization ⟶
Finds out lemmata (basic forms) of all the words in the document.
correction ⟶
Performs correction (diacritization) on all the words in the document.
topic detection ⟶
Determines a topic of the document, e.g. finance or sports.
sentiment analysis ⟶
Determines a sentiment of the document, i.e. how positive or negative the document is.
named entity recognition ⟶
Finds named entities (like person, location, date etc.) mentioned the the document.
Encoding
The supplied text is expected to be in UTF-8 encoding, this is especially important for non-english texts.
Returned values
The API calls always return objects in serialized JSON format in UTF-8 encoding.
If any error occurs, the HTTP response code will be in the range 4xx (client-side error) or
5xx (server-side error). In this situation, the body of the response will contain information
about the error in JSON format, with exception and message values.
URL limitations
All the requests are semantically GET. However, for longer texts, you may run into issues
with URL length limit. Therefore, it's possible to always issue a POST request with all
the parameters encoded as a JSON in the request body.
Example:
POST /s1/sentiment
Content-Type: application/json
{"text":"There is no harm in being sometimes wrong - especially if one is promptly found out."}
This is equivalent to GET /s1/sentiment?text=There%20is%20no%20harm...
Request limitations
The API has other limitations concerning the size of the HTTP requests. The maximum allowed size of any
POST request body is 512 KiB. For request with a URL resource, the maximum allowed number of
extracted characters from each such resource is 100,000.
Terms of Service
By using the API, you agree to our
Terms of Service Agreement.
More information
The Interpretor Public Documentation

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For example
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https://us1.pdfgeneratorapi.com/api/v3/workspaces
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Frequently asked questions and answers
Definitions
Organization
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Workspace
Workspace contains templates. Each workspace has access to their own templates and organization default templates.
Master Workspace
Master Workspace is the main/default workspace of your Organization. The Master Workspace identifier is the email you signed up with.
Default Template
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Data Field
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Testing with JWTs
You can create a temporary token in Account Settings page after you login to PDF Generator API. The generated token uses your email address as the subject (sub) value and is valid for 5 minutes.
You can also use jwt.io to generate test tokens for your API calls. These test tokens should never be used in production applications.
Libraries and SDKs
Postman Collection
We have created a Postman Collection so you can easily test all the API endpoints wihtout developing and code. You can download the collection here or just click the button below.
Run in Postman
Client Libraries
All our Client Libraries are auto-generated using OpenAPI Generator which uses the OpenAPI v3 specification to automatically generate a client library in specific programming language.
PHP Client
Java Client
Ruby Client
Python Client
Javascript Client
We have validated the generated libraries, but let us know if you find any anomalies in the client code.
Error codes
| Code | Description |
|--------|--------------------------------|
| 401 | Unauthorized |
| 403 | Forbidden |
| 404 | Not Found |
| 422 | Unprocessable Entity |
| 500 | Internal Server Error |
401 - Unauthorized
| Description |
|-------------------------------------------------------------------------|
| Authentication failed: request expired |
| Authentication failed: workspace missing |
| Authentication failed: key missing |
| Authentication failed: property 'iss' (issuer) missing in JWT |
| Authentication failed: property 'sub' (subject) missing in JWT |
| Authentication failed: property 'exp' (expiration time) missing in JWT |
| Authentication failed: incorrect signature |
403 - Forbidden
| Description |
|-------------------------------------------------------------------------|
| Your account has exceeded the monthly document generation limit. |
| Access not granted: You cannot delete master workspace via API |
| Access not granted: Template is not accessible by this organization |
| Your session has expired, please close and reopen the editor. |
404 Entity not found
| Description |
|-------------------------------------------------------------------------|
| Entity not found |
| Resource not found |
| None of the templates is available for the workspace. |
422 Unprocessable Entity
| Description |
|-------------------------------------------------------------------------|
| Unable to parse JSON, please check formatting |
| Required parameter missing |
| Required parameter missing: template definition not defined |
| Required parameter missing: template not defined |