• ENRICHED
  • SEGMENTED
  • VALIDATED
  • HUMAN

How to enrich lead lists with demographics with Namsor

Connect Namsor to your AI client to turn plain name strings into demographic profiles. Your agent handles the data lookup while you manage the list.

Ask AI about this page

Short answer

How can I add gender and ethnicity to my name lists?

Your AI uses Namsor to pull gender and US Census ethnicity data directly from name strings. You'll get a structured list with these new demographic columns ready for your CRM or marketing tool.

The results.

Where your data lands.

The AI processes your raw names and maps the results to these specific outcomes.

ENRICHED

Updated lead lists

The AI appends gender and ethnicity columns to your existing data. You get a complete dataset with the new demographic info attached to each name.

SEGMENTED

Targeted audience groups

Once the data is added, your agent can group leads by gender or ethnicity. This lets you build specific segments for tailored outreach.

VALIDATED

Cleaned name strings

The AI identifies the gender and race associated with the names provided. This turns messy text into structured, usable information.

HUMAN

Manual review needed

You decide which leads require a human eye for edge cases. The AI flags names it can't confidently categorize so you can handle them manually.

The workflow

What your AI does when the list arrives.

The AI handles the heavy lifting of looking up demographic data for every name in your file.

  1. Identify gender

    The agent looks at each name string to determine the likely gender. This adds a new layer of identity to your raw list.

    get_gender

  2. Determine ethnicity

    The AI pulls US Census ethnicity data based on the names provided. This provides the specific demographic context you need.

    get_us_race_ethnicity

  3. Structure the data

    The agent organizes the gender and ethnicity results into a clean format. It matches the new data points back to the original names.

    get_genderget_us_race_ethnicity

  4. Flag uncertain results

    If a name is ambiguous, the AI marks it for your review. This ensures you don't rely on incorrect guesses.

    get_gender

Try it

Copy these to start.

Paste these directly into your chat to begin the enrichment process.

Starting points

These are opening lines to get you moving. Swap the bracketed text for your actual file names or sheet names.

Namsor Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_XPbCuCtoKXjrEmdQJb1gTcc2ZoOpLy3abmBDUnc2/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Namsor capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "namsor-alternative-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_XPbCuCtoKXjrEmdQJb1gTcc2ZoOpLy3abmBDUnc2/mcp"
    }
  }
}
Copy into chat04

  • Enrich the names in my 'Leads_2024' Google Sheet with gender and US Census ethnicity.

  • Take this list of names from my CSV and add gender and ethnicity columns using Namsor.

  • Look at the names in my contact list and tell me the gender and ethnicity for each.

  • Add demographic data to the names in my 'Prospects' file, specifically gender and US Census ethnicity.

  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Start here

Connect Namsor once, then ask.

Just click the link to connect your account. Your credentials stay encrypted, and you can start prompting your AI immediately.

Connect Namsor to your AI

FAQ

How this task behaves.

  • 01

    Can the AI change the original names in my file?

    No. The AI only adds new demographic columns; it does not modify your existing name strings.

  • 02

    Does the AI automatically update my CRM?

    No. The AI provides the enriched data to you in your chat or your specified file. You must move that data into your CRM yourself.

  • 03

    What happens if a name is too common to determine gender?

    The AI will return a null or uncertain result for that specific entry, which you can then review manually.

  • 04

    Can I use this for names outside the US?

    The ethnicity tool specifically uses US Census data, so it is designed for US-based demographic profiles.

  • 05

    How does the AI handle large lists?

    The AI processes the names provided in your prompt or file by calling the tools for each entry sequentially.

  • More questions about Namsor? The Connector page answers them. See everything the Namsor Connector can do

Connect Namsor to Claude, Cursor, ChatGPT & more