Synthetic Data Generator API

The Synthetic Data Generator API creates realistic datasets for various domains, aiding development, testing, and analysis with versatile, customizable data generation.

About the API:  

The Synthetic Data Generator API is a comprehensive solution that enables users to create realistic and customizable data sets spanning multiple domains. With its endpoint, users can generate synthetic data for user profiles, e-commerce transactions, company details, social media demographics, content management, educational testing, location-based services, email campaigns, healthcare applications and financial services.

This API offers flexibility and accuracy, allowing users to tailor the data generated to their specific needs. Whether simulating user behavior, generating transactional data or creating fictitious company profiles, the Synthetic Data Generator API provides the tools necessary for realistic data simulation.

By leveraging this API, users can streamline their testing and development processes, validate software functionality and analyze system performance with confidence. In addition, the ability to generate synthetic data in multiple domains allows users to explore diverse use cases, from testing machine learning algorithms to simulating real-world scenarios for market research.

Overall, the Synthetic Data Generator API is a valuable resource for generating high-quality synthetic data, facilitating innovation and accelerating the development of applications and services in various industries.

 

What this API receives and what your API provides (input/output)?

It will receive a parameter and provide you with a JSON.

 

What are the most common uses cases of this API?

  1. Software Testing: Generate synthetic data to validate software functionality and performance across various scenarios.

    Application Development: Create mock datasets to prototype and develop applications in diverse domains.

    Data Analysis: Use synthetic data for statistical analysis, modeling, and machine learning training.

    Market Research: Simulate consumer behavior and market trends to inform marketing strategies and product development.

    Training and Education: Provide realistic datasets for educational purposes, such as data science courses and workshops.

     

Are there any limitations to your plans?

Besides the number of API calls, there is no other limitation.

API Documentation

Endpoints


To use this endpoint you must indicate a category to generate data:

 

Categories: 

  • userProfileseCommercecompanyDatasocialMediaDemoscontentManagementeducationalTestinglocationBasedServicesemailCampaignshealthcareApplicationsfinancialServices


                                                                            
POST https://zylalabs.com/api/4177/synthetic+data+generator+api/5062/data+generator
                                                                            
                                                                        

Data Generator - Endpoint Features

Object Description
Request Body [Required] Json
Test Endpoint

API EXAMPLE RESPONSE

       
                                                                                                        
                                                                                                                                                                                                                            {"statusCode":200,"data":[{"accountName":"Personal Loan Account","account":"78851354","amount":"505.84","transactionType":"invoice","currencyCode":"KPW","creditCardNumber":"6011-6273-7122-5826-8318","creditCardCVV":"126","currencySymbol":"руб","bitcoinAddress":"3tsvaYCUXyBA7y6W4ieJqv1tZY","iban":"AD3339146241QM6615698021","bic":"TJNJCMT1XXX"},{"accountName":"Home Loan Account","account":"26890766","amount":"653.95","transactionType":"payment","currencyCode":"ERN","creditCardNumber":"3036-920436-1326","creditCardCVV":"731","currencySymbol":"﷼","bitcoinAddress":"16S1FZuyKnKqmmVN735HkkcAbrSDVZrJdUWScx","iban":"LB9321936914K27N290J897JCLOL","bic":"XUFOHRRGXXX"},{"accountName":"Investment Account","account":"18493956","amount":"485.89","transactionType":"payment","currencyCode":"OMR","creditCardNumber":"4140-7729-8044-1056","creditCardCVV":"000","currencySymbol":"$U","bitcoinAddress":"3CJpt9k44GN3ok5QvtNYR7QDdyw1","iban":"PL30078008750020030808002537","bic":"FJWIBSHPXXX"},{"accountName":"Savings Account","account":"72295613","amount":"534.17","transactionType":"invoice","currencyCode":"TND","creditCardNumber":"3532-6247-5326-4298","creditCardCVV":"830","currencySymbol":"؋","bitcoinAddress":"3mL2Eir3aFsmbSBcCu8G4FZsfPZxJ","iban":"IE1650MX92006300208973","bic":"ZIQVAFHYXXX"},{"accountName":"Money Market Account","account":"41286644","amount":"317.48","transactionType":"withdrawal","currencyCode":"KMF","creditCardNumber":"3411-852090-79968","creditCardCVV":"550","currencySymbol":"€","bitcoinAddress":"1RfVwuyASYrcdqpHZ3uJLnmkSUTYpfcDf","iban":"TL049260007065005708067","bic":"HEMKGFSV"},{"accountName":"Credit Card Account","account":"81822580","amount":"922.33","transactionType":"payment","currencyCode":"HUF","creditCardNumber":"5038-4659-3403-6831","creditCardCVV":"753","currencySymbol":"L","bitcoinAddress":"39ncJEZSrugrWLJksjYfDkHdcVSfY","iban":"BA496710010068378005","bic":"CTPOCN59XXX"},{"accountName":"Credit Card Account","account":"12990554","amount":"971.63","transactionType":"payment","currencyCode":"ARS","creditCardNumber":"4563613402901","creditCardCVV":"072","currencySymbol":"K","bitcoinAddress":"1urFND7xjtjD4MxqwP7pjuYHgN2w7RoNquxZLBuh","iban":"LB11100572O07D809851270704DR","bic":"OTKGQAGO"},{"accountName":"Savings Account","account":"76529266","amount":"493.96","transactionType":"invoice","currencyCode":"GNF","creditCardNumber":"3529-1295-5234-6432","creditCardCVV":"425","currencySymbol":"J$","bitcoinAddress":"1xT4SfsC3CimnaYfY2FCJCw3eFMA6V","iban":"RS23781806074862050011","bic":"PIWKCMFR"},{"accountName":"Investment Account","account":"38118497","amount":"488.85","transactionType":"invoice","currencyCode":"AFN","creditCardNumber":"6536-9336-4697-3380","creditCardCVV":"412","currencySymbol":"J$","bitcoinAddress":"1ieEk1JVvayb2YJiEgcNxTHfRHw9Ab1","iban":"RS86456087580130755792","bic":"ZDVDGYYJXXX"},{"accountName":"Credit Card Account","account":"29722074","amount":"440.31","transactionType":"invoice","currencyCode":"PHP","creditCardNumber":"3529-3816-1302-2532","creditCardCVV":"530","currencySymbol":"$","bitcoinAddress":"3ZAGEZyRnnFsXH4tNaQFBVjrdDMdJZX6sYTCj","iban":"XK080685231829845029","bic":"HYYOKRGU"}]}
                                                                                                                                                                                                                    
                                                                                                    

Data Generator - CODE SNIPPETS


curl --location --request POST 'https://zylalabs.com/api/4177/synthetic+data+generator+api/5062/data+generator' --header 'Authorization: Bearer YOUR_API_KEY' 
--data-raw '{
    "dataType": "financialServices",
    "count": 10
}'

    

API Access Key & Authentication

After signing up, every developer is assigned a personal API access key, a unique combination of letters and digits provided to access to our API endpoint. To authenticate with the Synthetic Data Generator API REST API, simply include your bearer token in the Authorization header.
Headers
Header Description
Authorization [Required] Should be Bearer access_key. See "Your API Access Key" above when you are subscribed.

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To use this API users must indicate a category of information.

The Synthetic Data Generator API allows users to create realistic data sets.

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Zyla provides a wide range of integration methods for almost all programming languages. You can use these codes to integrate with your project as you need.

The API provides a cost-effective solution for generating synthetic data, facilitating innovation, accelerating development cycles, and enabling data-driven decision-making across industries.

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 Service Level
100%
 Response Time
3,045ms

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