API Overview
This API provides the likely gender based on an individual name, including international character sets. It uses AI, specialized language models, heuristics, phonetics, specific knowledge bases, categorization hierarchies, contextual machine learning, and various other algorithms to identify the likely gender.
International Support
Handles names from various cultures and languages, including non-Latin scripts.
AI-Powered
Utilizes advanced AI and machine learning techniques for accurate gender determination.
Extensive Knowledge Base
Leverages comprehensive datasets and algorithms for reliable results.
How It Works
| Name | Gender |
|---|---|
| Kai J. Haaskavi | Male |
| Orhan Pamuk | Male |
| Fernando Pessoa | Male |
| Isabel Allende | Female |
| Thongchai Jaidee | Male |
| ท้าวสุรนาร | Female |
| 姚明 | Male |
| Michael Pan | Male |
| Pat Williams | Undetermined |
| Björn Andrésen | Male |
| גולדה מאיר | Female |
| Александр Пушкин | Male |
| Ειρήνη Παπά | Female |
| Nguyễn Thị Thiên Thanh | Female |
| 向井 千秋 | Female |
| Chieko Suzuki | Female |
| 김연아 | Female |
API Details
Endpoint
https://api.interzoid.com/getgender
Request Format
https://api.interzoid.com/getgender?license=[licensekey]&name=[individual name]
Sample Request
https://api.interzoid.com/getgender?license=fh5hs7*****&name=Pierre Bonaparte
Sample Response
{"Gender":"Male","Code":"Success","Credits":47372}
cURL Example (with API key in header)
curl --header "x-api-key: fh5hs7*****" "https://api.interzoid.com/getgender?name=Pierre%20Bonaparte"
Additional Information
Optional OpenAPI Specification
An OpenAPI Specification (OAS) is a standardized format for describing the structure, endpoints, and functionality of a RESTful API in a machine-readable format.
It is a blueprint for developers and enables integration by defining request and response schemas, authentication methods, and available operations.
YAML JSON Swagger Editor with Client GeneratorsFor custom requirements or additional support, please contact us at support@interzoid.com.