cloudmersive-fraud-detection-api-client

CloudmersiveFraudDetectionApiClient - JavaScript client for cloudmersive-fraud-detection-api-client Easily and directly scan and block fraudulent security threats in input. Cloudmersive Fraud Detection API provides advanced document fraud detection capabilities.

• API version: v1
• Package version: 1.0.0

Installation

For Node.js

npm

To publish the library as a npm, please follow the procedure in "Publishing npm packages".

Then install it via:

npm install cloudmersive-fraud-detection-api-client --save

Local development

To use the library locally without publishing to a remote npm registry, first install the dependencies by changing into the directory containing package.json (and this README). Let's call this JAVASCRIPT_CLIENT_DIR. Then run:

npm install

Next, link it globally in npm with the following, also from JAVASCRIPT_CLIENT_DIR:

npm link

Finally, switch to the directory you want to use your cloudmersive-fraud-detection-api-client from, and run:

npm link /path/to/<JAVASCRIPT_CLIENT_DIR>

You should now be able to require('cloudmersive-fraud-detection-api-client') in javascript files from the directory you ran the last command above from.

git

If the library is hosted at a git repository, e.g. https://github.com/GIT_USER_ID/GIT_REPO_ID then install it via:

    npm install GIT_USER_ID/GIT_REPO_ID --save

For browser

The library also works in the browser environment via npm and browserify. After following the above steps with Node.js and installing browserify with npm install -g browserify, perform the following (assuming main.js is your entry file, that's to say your javascript file where you actually use this library):

browserify main.js > bundle.js

Then include bundle.js in the HTML pages.

Webpack Configuration

Using Webpack you may encounter the following error: "Module not found: Error: Cannot resolve module", most certainly you should disable AMD loader. Add/merge the following section to your webpack config:

module: {
  rules: [
    {
      parser: {
        amd: false
      }
    }
  ]
}

Getting Started

Please follow the installation instruction and execute the following JS code:

var CloudmersiveFraudDetectionApiClient = require('cloudmersive-fraud-detection-api-client');

var defaultClient = CloudmersiveFraudDetectionApiClient.ApiClient.instance;

// Configure API key authorization: Apikey
var Apikey = defaultClient.authentications['Apikey'];
Apikey.apiKey = "YOUR API KEY"
// Uncomment the following line to set a prefix for the API key, e.g. "Token" (defaults to null)
//Apikey.apiKeyPrefix['Apikey'] = "Token"

var api = new CloudmersiveFraudDetectionApiClient.FraudDetectionApi()

var opts = { 
  'inputFile': "/path/to/file.txt" // {File} Input document, or photos of a document, to perform fraud detection on
};

var callback = function(error, data, response) {
  if (error) {
    console.error(error);
  } else {
    console.log('API called successfully. Returned data: ' + data);
  }
};
api.documentDetectFraud(opts, callback);

Documentation for API Endpoints

All URIs are relative to https://localhost

Class | Method | HTTP request | Description ------------ | ------------- | ------------- | ------------- CloudmersiveFraudDetectionApiClient.FraudDetectionApi | documentDetectFraud | POST /fraud-ai/detection/document | AI Fraud Detection for Documents CloudmersiveFraudDetectionApiClient.FraudDetectionApi | documentDetectFraudAdvanced | POST /fraud-ai/detection/document/advanced | Advanced AI Fraud Detection for Documents

Documentation for Models

• CloudmersiveFraudDetectionApiClient.AdvancedFraudDetectionResult
• CloudmersiveFraudDetectionApiClient.FraudDetectionResult

Documentation for Authorization

Apikey

• Type: API key
• API key parameter name: Apikey
• Location: HTTP header