Estimates the age from a first name.
Agify.io is an API service that estimates a person's age based on a given name. It accepts full names and processes signals from each name part, supports diacritics and non-Latin alphabets, and allows requests to be scoped to specific countries for localized predictions. The service is part of a suite that also includes genderize.io (gender classification) and nationalize.io (nationality prediction) from names, and results are based on a dataset covering more than 1 billion people, built up over more than 12 years.
Beyond the core API, the product offers a spreadsheet tool for uploading datasets and enriching them with age, gender, and nationality predictions, along with official client libraries for multiple programming languages. No-code integrations are available for platforms including Google Sheets, Airtable, Shopify, and Salesforce, as well as workflow tools n8n and Pipedream. The suite can also be connected to AI assistants and tools that support the Model Context Protocol, including Claude, Cursor, Claude Code, and ChatGPT, allowing demographic queries to be run through natural-language requests.
The service is aimed at use cases such as customer analytics, where businesses enrich audience or user datasets with demographic data to inform product, content, and marketing decisions, and academic research, such as analyzing age distribution and bias in large text corpora. The company is EU-based and states GDPR compliance.
It predicts a person's age from their first name using an API, based on a dataset covering more than 1 billion people.
Yes, it supports diacritics and accents from any language as well as non-latin alphabets, and requests can be scoped to specific countries.
Agify.io offers official client libraries, no-code integrations with n8n, Pipedream, Google Sheets, Airtable, Shopify, and Salesforce, and MCP support for AI assistants like Claude and ChatGPT.
Yes, it is an EU-based company that is GDPR compliant, operating since 2009.
It is aimed at use cases like customer analytics and academic research, where demographic age data enriches datasets for marketing or bias analysis.
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