In the intricate landscape of demographic analysis and personalized user experiences, the Name Gender Probability API stands as a cutting-edge tool, unraveling the intricate tapestry of name-based gender prediction with a nuanced twist. This API goes beyond mere categorization, offering users the ability to understand the gender probabilities associated with given names. By leveraging advanced algorithms and linguistic patterns, this API provides not just predictions, but nuanced probabilities, allowing for a richer layer of personalization and demographic information.
The Name Gender Probability API uses sophisticated algorithms to provide probabilistic gender predictions based on names.
Operating in real time, the API allows developers to seamlessly integrate probabilistic gender analysis into applications and platforms. This enables dynamic customization and user experiences based on evolving probabilities.
Integrate the API into content platforms to adapt content recommendations based on gender probabilities, providing users with more personalized and relevant suggestions.
In the era of nuanced personalization and user-centric applications, the Name Gender Probability API emerges as a sophisticated tool for developers and enterprises. By offering probabilistic gender predictions with granular confidence levels, this API enriches the landscape of demographic insights and personalization strategies. Whether applied to user interfaces, marketing campaigns, demographic profiles, registration forms or content recommendations, the Name Gender Probability API represents a leap forward in understanding and respecting user identities. It is a testament to the evolving nature of the technology, as it offers a tool that not only predicts, but understands the nuances associated with name-based gender probabilities.
It will receive parameters and provide you with a JSON.
Personalized greetings: Tailor in-app greetings and messages based on predicted gender, providing a more personalized user experience.
Targeted marketing campaigns: Improve the effectiveness of marketing campaigns by predicting the likely gender of users and delivering targeted ads.
Demographic analysis: Analyze user databases to understand gender distribution, helping businesses with demographic analysis and strategic decision making.
Improve user registration: Automatically populate gender fields on registration forms with the intended gender, streamlining the user onboarding process.
Content recommendations: Enhance content platforms by customizing recommendations based on intended gender, increasing user engagement.
Basic Plan: 1,000 API Calls. 200 requests per hour.
Pro Plan: 2,000 API Calls. 200 requests per hour.
Pro Plus Plan: 4,000 API Calls. 200 requests per hour.
To use this endpoint you must indicate a name or several names to detect the gender associated with the name.
Gender Possibility - Endpoint Features
Object | Description |
---|---|
Request Body |
[Required] Json |
{"response":[{"name":"Bill","boy_or_girl":"boy","probability":0.6299999952316284},{"name":"John","boy_or_girl":"boy","probability":0.8299999833106995}]}
curl --location --request POST 'https://zylalabs.com/api/2934/name+gender+probability+api/3077/gender+possibility' --header 'Authorization: Bearer YOUR_API_KEY'
--data-raw '[
"Bill",
"John"
]'
Header | Description |
---|---|
Authorization
|
[Required] Should be Bearer access_key . See "Your API Access Key" above when you are subscribed. |
No long term commitments. One click upgrade/downgrade or cancellation. No questions asked.
To use this API you must indicate a name or several names to detect the gender.
There are different plans suits everyone including a free trial for small amount of requests, but itβs rate is limit to prevent abuse of the service.
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 Name Gender Probability API is a cutting-edge tool designed to provide probabilistic predictions of gender based on given names.
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