In today's data-centric world, understanding demographics and attributes of individuals is critical for a variety of applications, such as targeted marketing, demographic analysis and sociological research. Names, as cultural and gender-specific identifiers, play an important role in this context. The Sex Assignment API is a valuable resource that provides information about the likely gender associated with a given first name, and is targeted at users, developers, businesses and researchers.
This specialized API excels at determining the probable sex associated with a given given given name from extensive databases and advanced algorithms. It provides valuable information on whether a name is commonly associated with males, females or is unisex.
Known for its accuracy and reliability, the Sex Assignment API takes into account historical data, social trends and linguistic analysis to provide accurate gender predictions from the name entered. This is invaluable for targeted marketing campaigns, ensuring that messages effectively reach your target audience.
One of the most outstanding attributes of the API is its adaptability. Users can tailor its use to their specific needs, whether they are dealing with individual names or large data sets. This versatility benefits a broad spectrum of applications, from personalized marketing messages to in-depth demographic research.
Designed for ease of integration, the API has well-documented parameters and endpoints, making it quick to incorporate into applications, websites and data analysis workflows.
In short, the Sex Assignment API is a powerful tool for gaining insights from first names, enabling informed decision making and application optimization. Whether the goal is personalized marketing, in-depth demographic research or improving user experience, the Sex Assignment API is an indispensable asset.
This API will help you detect the gender of different people's names.
Marketing segmentation: Tailor ads and promotions to specific genders to improve marketing strategies.
Demographic insights: Examine gender distribution in population demographics to inform research and policy development.
Personalized social networks: Improve user engagement on social platforms by personalizing content and connections based on gender.
E-commerce suggestions: Improve online shopping by recommending products in line with the user's likely gender.
Academic exploration: Investigate naming trends and gender correlations in the fields of linguistics and sociology.
Besides the number of API calls available for the plan, there are no other limitations.
To use this endpoint you must specify a name in the parameter.
Gender recognition by name - Endpoint Features
Object | Description |
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["Female"]
curl --location --request GET 'https://zylalabs.com/api/2733/sex+assignment+api/2838/gender+recognition+by+name' --header 'Authorization: Bearer YOUR_API_KEY'
Header | Description |
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Authorization
|
[Required] Should be Bearer access_key . See "Your API Access Key" above when you are subscribed. |
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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 Sex Assignment API is a service that predicts the likely gender associated with a given first name.
The user must specify a person's name to use this API.
The Gender recognition endpoint returns a list indicating the likely gender associated with the specified name, such as ["Female"], ["Male"], or ["Unisex"].
The primary field in the response data is the gender prediction, which is provided as a string within an array, indicating whether the name is typically associated with males, females, or is unisex.
The response data is structured as a JSON array containing a single string element that represents the predicted gender for the input name.
The endpoint provides gender predictions based on first names, allowing users to understand gender associations for marketing, research, and user engagement.
The API utilizes extensive databases that incorporate historical data, social trends, and linguistic analysis to ensure accurate gender predictions.
Data accuracy is maintained through continuous updates and quality checks, ensuring that the predictions reflect current naming trends and cultural contexts.
Typical use cases include targeted marketing, demographic analysis, personalized content recommendations, and academic research into naming trends and gender correlations.
Users can customize their requests by specifying different names in the API call, allowing for tailored gender predictions based on their specific needs or datasets.
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