# Find Gender From a Name - Accurate Gender Classification API

> Markdown mirror of DialtoneApp's public top-site detail page for `genderize.io`.

URL: https://dialtoneapp.com/top-sites/genderize.io/index.md
Canonical HTML: https://dialtoneapp.com/top-sites/genderize.io

## Summary

- Domain: `genderize.io`
- Website: https://genderize.io
- Description: ai readable | score 20 | purchase read only
- Label: ai_readable
- Payment surface: Not available
- Purchase boundary: read_only
- Control boundary: unknown
- Rank: 183626

## robots

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# See https://www.robotstxt.org/robotstxt.html for documentation on how to use the robots.txt file
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## llms

~~~text
# Genderize.io

> Genderize.io is a REST API that predicts the gender of a person from their first name, returning a probability score and the number of data rows examined. It is operated by Demografix ApS (Denmark) and is part of a suite of three name-based demographic APIs.

Genderize.io has been in operation for more than 12 years and bases its predictions on a dataset of over 908 million data rows covering 240+ countries and territories. It has been cited in over 1,400 academic papers (Google Scholar) and is used by organizations including The Guardian, MIT, Uber, Columbia University, Shopify, Nature, The Washington Post, and Yale University.

Important: Genderize.io predicts statistical gender likelihood — it does not determine biological sex or gender identity. Results are probabilistic, not deterministic.

## API

- [API Documentation](https://genderize.io/documentation): Full API reference with request/response formats, parameters, error codes, and examples
- [Example request](https://api.genderize.io?name=peter): `GET https://api.genderize.io?name=peter` returns `{"count":1346866,"name":"peter","gender":"male","probability":1.0}`
- [Country-scoped request](https://api.genderize.io?name=kim&country_id=dk): `GET https://api.genderize.io?name=kim&country_id=dk` returns `{"count":6494,"name":"kim","gender":"male","country_id":"DK","probability":0.97}` — while `?name=kim&country_id=us` returns female (0.94). Use `country_id` (ISO 3166-1 alpha-2) to scope predictions to a specific country.
- [Batch requests](https://genderize.io/documentation): Up to 10 names per request using `name[]=` parameter. Each name counts as one lookup against your quota.
- [Our Data](https://genderize.io/our-data): Details on dataset size, country coverage, and accuracy benchmarks. 94.35% accuracy on the 2024 Olympic Athletes dataset (11,074 athletes).

## Pricing

- [Pricing](https://genderize.io/pricing): All tiers include access to all three APIs (genderize.io, agify.io, nationalize.io).
- Free: 2,500 names/month
- Basic: 25,000 names/month — $20/month
- Standard: 250,000 names/month — $60/month
- Plus: 2,500,000 names/month — $180/month
- Premium: 25,000,000 names/month — $540/month
- Yearly billing available (pay for 10 months, get 12)

## Tools

- [CSV Upload Tool](https://genderize.io/tools/csv): Upload a CSV file and get gender, age, and nationality columns added — no code required
- [No-Code Integrations](https://genderize.io/tools/no-code): Official integrations with Make (formerly Integromat), Zapier, and Pipedream
- [Community Libraries](https://genderize.io/libraries): Open-source libraries for Python, R, PHP, Ruby, Go, JavaScript, Java, C#, and more

## Resources

- [FAQ](https://genderize.io/faq): Common questions about data accuracy, billing, rate limits, and methodology
- [Case Studies](https://genderize.io/case-studies): Academic and journalistic use cases including The Guardian, Nature, and The Washington Post

## Related APIs

- [Agify.io](https://agify.io): Predict age from a name — same subscription, same API key
- [Nationalize.io](https://nationalize.io): Predict nationality from a name — same subscription, same API key
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## llms-full

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