# Genderize MCP for AI Agents AI Agent Connect > Genderize lets your AI agent predict the gender of a person based on their first name. It uses a massive database of over 114 million records to provide statistical probabilities and certainty scores. You can process single names, large batches, or regional data for specific countries like the US, Brazil, or the UK. It's a fast way to enrich lead lists or CRM data without manual entry. ## Overview - **Category:** developer-tools - **Price:** Free - **Endpoint:** https://edge.vinkius.com/vk_preview_l9O7rEA23fpsqXISUuvibgAK1aV8NWSS0VUhfd2P/ai-agent-connect - **Tags:** gender-prediction, data-enrichment, statistical-analysis, name-processing, api-integration ## Description If you're staring at a spreadsheet of names and need to know who's a he or a she to personalize your outreach, this Connector handles the heavy lifting. Instead of guessing or doing manual research, you can just ask your AI client to run the names through the Genderize database. It doesn't just give you a binary guess; it provides a probability score and the actual data count it used to reach that conclusion. This is huge for data integrity because you can see exactly how much evidence backs up the prediction. You can even narrow things down by country to account for regional naming patterns, which is a lifesaver when dealing with international markets. Whether you're cleaning up a CRM or prepping a marketing campaign, this tool makes the data enrichment part of the process almost invisible. It's one of the many tools you can find in the Vinkius catalog to make your agent actually useful for real-world business tasks. You can start with the free tier for basic tasks or plug in an API key when you need to scale up for massive datasets. ## Tools ### verify_api_connection Checks if your connection to the Genderize API is active and working correctly. Use this to troubleshoot your setup. ### estimate_gender_brazil Predicts the gender of a first name specifically for the region of Brazil. Use this for Brazilian market data. ### estimate_gender_spain Predicts the gender of a first name specifically for the region of Spain. Use this to get accurate local results. ### estimate_gender_france Predicts the gender of a first name specifically for the region of France. Use this for French naming patterns. ### estimate_gender_uk Predicts the gender of a first name specifically for the region of the United Kingdom. Use this for UK-specific data. ### estimate_gender Predicts the gender of a first name based on global naming data. Use this for general, non-regional queries. ### estimate_gender_us Predicts the gender of a first name specifically for the region of the United States. Use this for US-based leads. ### estimate_genders_bulk Estimates the gender for up to 10 names in a single request. Use this to speed up processing of large lists. ## Prompt Examples **Prompt:** ``` What's the gender for 'Mateo' in the US? ``` **Response:** ``` Checking the data for the United States... For the name 'Mateo', the estimated gender is male with a 94% probability based on 82,400 records. ``` **Prompt:** ``` Give me the gender for these 5 names: 'Sienna', 'Liam', 'Chloe', 'Noah', 'Emma'. ``` **Response:** ``` Processing your list... Here are the results: | Name | Gender | Probability | Data Count | | --- | --- | --- | --- | | Sienna | Female | 98% | 142,000 | | Liam | Male | 99% | 210,000 | | Chloe | Female | 97% | 98,000 | | Noah | Male | 99% | 185,000 | | Emma | Female | 99% | 304,000 | ``` **Prompt:** ``` Is 'Lucia' usually a male or female name in Spain? ``` **Response:** ``` Looking at regional patterns for Spain... In Spain, 'Lucia' is estimated as female with a 99.2% probability. It's a very common female name in that region. ``` ## Capabilities ### Predict name gender Get a male or female prediction for any first name based on global data. ### Get probability scores See a certainty score between 0.0 and 1.0 for every name prediction. ### Localize by country Use ISO country codes to get more accurate results for regional naming patterns. ### Process bulk names Estimate genders for up to 10 names in a single request to save time. ### Check regional helpers Quickly query names for specific countries like Brazil, Spain, and the UK. ### Verify connection Check if your API connection is active and ready to use. ## Use Cases ### Personalizing Email Outreach A marketer has a list of 200 names and uses the agent to find genders for personalized subject lines. ### CRM Data Cleaning An analyst uses the agent to fill in missing gender fields in a legacy database for better segmentation. ### Regional Market Analysis A growth engineer uses estimate_gender_spain to see if a name is predominantly male or female in a specific country. ### Bulk Lead Processing A sales team uses estimate_genders_bulk to quickly categorize a new batch of leads from a web form. ## Benefits - Stop guessing gender on lead lists by using the 114 million record database for high-confidence predictions. - Get precise probability scores between 0.0 and 1.0 so you know exactly how much data supports each result. - Improve accuracy for international markets by using country-specific tools like estimate_gender_us or estimate_gender_brazil. - Save time on large datasets by using estimate_genders_bulk to process 10 names in one go. - Maintain data integrity by viewing the total data count provided for every prediction. - Scale your operations from 100 free daily requests to high-volume enrichment with a simple API key. ## How It Works The bottom line is you get accurate gender probabilities for any name in seconds. 1. Subscribe to the Genderize MCP on the Vinkius Marketplace. 2. Add your Genderize API key if you need higher rate limits for large datasets. 3. Ask your AI client to estimate genders for a list of names or a specific country. ## Frequently Asked Questions **What can Genderize do for my marketing list?** It lets your agent automatically predict genders for names on your list so you can personalize your emails and ads without manual research. **How accurate are the gender predictions?** The tool provides a probability score between 0.0 and 1.0 for every name, showing you exactly how much data supports the result. **Can I use Genderize for international names?** Yes, you can use specific tools to check names for countries like Brazil, France, Spain, and the UK to get more accurate local results. **Is there a limit on how many names I can check?** You can process up to 10 names at a time using the bulk tool, and the free tier allows for 100 requests every day. **Do I need an API key to start using Genderize?** You can start using the service immediately for free. You only need an API key if you want to exceed the daily limit for large-scale data tasks. **Can I check if the connection is working?** Yes, you can ask your agent to verify the API connection to ensure everything is set up correctly before you start your project. **Is an API Key required for Genderize.io?** No, you can use the service for free without an API key for up to 100 requests per day. For higher volume, you can obtain a key from genderize.io. **How accurate is the gender prediction?** The API returns a 'probability' score between 0.0 and 1.0. A score of 0.99 means the API is 99% certain of the associated gender based on its database. **Can I localise the results for a specific country?** Yes! Use the 'countryId' parameter with an ISO 3166-1 alpha-2 code (e.g., 'BR' for Brazil) to get results optimized for that specific region. **How many names can I check at once?** The 'estimate_genders_bulk' tool allows you to check up to 10 names in a single API request, which is efficient for processing small lists.