Overview

This node uses the Namsor API to predict the likely gender of one or more full names. It supports batch processing of up to 200 names at a time, optionally considering the country context for better accuracy. The node can return either a simplified or raw detailed response from the API. This is useful in scenarios such as demographic analysis, personalized marketing, or data enrichment where gender prediction from names is required.

Use Case Examples

1. Predicting the gender of a list of customer names to tailor marketing campaigns.
2. Analyzing user data to infer gender distribution based on full names.
3. Enriching contact databases with gender information for better segmentation.

Properties

Output

JSON

• results
  • ``
    * name - The full name that was analyzed.
    * countryIso2 - The country code context used for the name, if provided.
    * gender - The predicted gender for the name (e.g., male, female, unknown).
    * probabilityCalibrated - The calibrated probability score of the gender prediction.
    * score - The raw score indicating confidence in the gender prediction.
    * genderScale - A scale value representing the gender prediction strength.

Dependencies

• Namsor API key credential

Troubleshooting

• Ensure the Namsor API key credential is correctly configured and valid to avoid authentication errors.
• If batch processing is used, verify that the batch size and interval settings are appropriate to prevent request throttling or timeouts.
• Check the country code values for correctness as invalid codes may reduce prediction accuracy.
• If SSL certificate validation errors occur, consider enabling the option to ignore SSL issues, but be aware of security implications.
• Timeout errors may occur if the API server is slow or network issues exist; increasing the timeout setting may help.

Links

• Namsor API Documentation - Official API documentation for Namsor, detailing endpoints and usage for name analysis and gender prediction.