Predict Gender Based on First Name with NodeTrigger

In today’s data-driven world, having the right tools at your disposal can make all the difference. One such tool that has proven to be invaluable is our API for predicting the gender of a person based on their first name.

NodeTrigger offers a quick, efficient, and highly accurate way to determine the statistical probability of a name being male or female. Whether you’re in marketing, social research, or any field where understanding demographic data is crucial, our gender prediction API is designed to meet your needs.

What is the Gender Prediction API?

Our Gender Prediction API is a powerful and easy-to-use service that allows you to predict the gender of a person based on their first name. By simply passing a name as a query parameter, you receive a JSON-encoded response with the prediction. This API leverages extensive statistical data to provide a reliable probability of a name being male or female.

Key Features

  1. Simple Integration: With a single endpoint, integrating our API into your application is straightforward. Just pass the first name and receive the gender prediction.
  2. High Accuracy: Our API uses a vast dataset to ensure the accuracy of its predictions. It takes into account various cultural and regional differences in names.
  3. Real-Time Responses: Get instantaneous results with our fast and responsive API.
  4. JSON-Encoded Responses: The API returns data in JSON format, making it easy to integrate with most modern applications.

How to Use the Gender Prediction API

Using our API is simple. Here’s a step-by-step guide to get you started:

  1. Endpoint: The API exposes a single endpoint for predictions.
https://nodetrigger.com/wp-json/v1/get-gender/?key=YOUR_API_KEY
  1. Query Parameter: You need to pass the name as a query parameter.
https://nodetrigger.com/wp-json/v1/get-gender/?key=YOUR_API_KEY&name=John
  1. Response: The API returns a JSON-encoded response with the prediction. Here is an example of the response:
   {
     "Name": "John",
     "Gender": "male",
     "Confidence": "99.6%"
   }

In this example, the API predicts that “John” is a male name with a 99.6% probability.

Benefits of Using the Gender Prediction API

Enhanced Marketing Campaigns

Understanding the gender distribution of your audience can significantly enhance the effectiveness of your marketing campaigns. Tailor your messages and offers to better suit your target demographic.

Improved User Experience

Personalize user experiences on your platform by addressing users correctly. This can lead to higher user satisfaction and engagement rates.

Efficient Data Analysis

Streamline your data analysis processes by automatically categorizing names by gender. This can be particularly useful in social research, demographics studies, and more.

Why Choose Our API?

  • Reliability: Our API is built on robust infrastructure, ensuring high availability and reliability.
  • Security: We prioritize data security and ensure that all API interactions are secure.
  • Support: Our dedicated support team is always ready to help you with any issues or questions you may have.

Get Started Today

Integrating our Gender Prediction API into your application is a breeze. With comprehensive documentation and a simple query structure, you can be up and running in no time. Start making data-driven decisions with the power of gender prediction at your fingertips.


By leveraging the capabilities of our Gender Prediction API, you can unlock new insights and drive your business forward. Don’t miss out on this opportunity to enhance your data analytics toolkit with our state-of-the-art solution.

Disclaimer: The results of our Gender Prediction API are optimized for a global market. It is important to note that cultural differences can impact the gender prediction of a name. A name that is commonly feminine in one country might be masculine in another. We are continuously working to improve our model to account for these variations and provide more accurate predictions across diverse cultural contexts.