`predict_age`

Pack: agify · Endpoint: https://gateway.pipeworx.io/agify/mcp

Estimate someone’s age from their first name using global statistics. Returns predicted age and confidence count based on name frequency data.

Parameters

Name	Type	Required	Description
`name`	string	yes	First name to predict age for.

Example call

Arguments

{
  "name": "John"
}

curl

curl -X POST https://gateway.pipeworx.io/agify/mcp \
  -H 'Content-Type: application/json' \
  -d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"predict_age","arguments":{"name":"John"}}}'

TypeScript (@pipeworx/sdk)

import { Pipeworx } from '@pipeworx/sdk';
const pipeworx = new Pipeworx();

const result = await pipeworx.call('predict_age', {
  "name": "John"
});

More examples

{
  "name": "Maria"
}

Response shape

Always returns: name, predicted_age, sample_size

Field	Type	Description
`name`	string	The name that was analyzed
`predicted_age`	number \| null	Predicted age based on name statistics, or null if unavailable
`sample_size`	number	Number of data points used for prediction (confidence measure)

Full JSON Schema

{
  "type": "object",
  "properties": {
    "name": {
      "type": "string",
      "description": "The name that was analyzed"
    },
    "predicted_age": {
      "type": [
        "number",
        "null"
      ],
      "description": "Predicted age based on name statistics, or null if unavailable"
    },
    "sample_size": {
      "type": "number",
      "description": "Number of data points used for prediction (confidence measure)"
    }
  },
  "required": [
    "name",
    "predicted_age",
    "sample_size"
  ]
}

Connect

Add this to your MCP client config, or use one-click install buttons:

{
  "mcpServers": {
    "agify": {
      "url": "https://gateway.pipeworx.io/agify/mcp"
    }
  }
}

See Getting Started for client-specific install steps.

predict_age