Name Intelligence API
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Name Intelligence API

Gender inference with real probabilities and popularity history for 105,966 first names and 162,253 surnames

Turn a first name into structured intelligence: gender with a real probability, all-time popularity, active years, peak year and per-decade history — built from 146 years of official US Social Security records (1880-2025, 105,966 distinct names) plus the Census Bureau's 162,253-surname frequency file. One call answers what gender-inference services charge monthly for: Michael -> male at 99.5% over 4.4M records; ambiguous names answer honestly (Taylor -> female at 74%); unknown strings return null instead of a guess. Batch up to 100 names per POST for CRM and list enrichment. Search names by prefix, gender or popularity; pull full statistics with decade-by-decade counts (watch Ada peak in 1918 and revive in the 2020s); look up any surname's rank, count and per-100k frequency (Smith #1, Nguyen #38). All source data is public domain and refreshes with the SSA's annual May release. Built for CRM enrichment, personalization, analytics, form autofill and demographic research — statistical inference from official records, not identity claims about individuals. Complements our Baby Names API (popularity browsing) with the data-enrichment side. Self-hosted — no third-party calls at request time.

Every call needs an X-Api-Key header. A free key includes 500 tokens a month, no card required. 1 token per call, so the free plan covers about 500 calls a month.

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response.json
{
  "ok": true,
  "count": 4,
  "results": [
    {
      "name": "Grace",
      "gender": "female",
      "probability": 0.9974,
      "count": 536340
    },
    {
      "name": "Liam",
      "gender": "male",
      "probability": 0.9985,
      "count": 359085
    },
    {
      "name": "Taylor",
      "gender": "female",
      "probability": 0.7441,
      "count": 443686
    },
    {
      "name": "Zzyzx",
      "gender": "male",
      "probability": 1,
      "count": 10
    }
  ]
}
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Use cases for Name Intelligence API

  • Infer gender for a CRM or marketing list with a probability you can set a threshold on.

  • Personalise salutations and content where the data says the name is unambiguous.

  • Show a name's popularity, peak year and decade-by-decade history in a product or article.

  • Look up surname frequency and origin statistics for genealogy and research tools.

Name Intelligence API endpoints

Every endpoint with its parameters and a real example response.

POSTBatch Infer Gender

https://api-name-intelligence.dataandapis.com/v1/gender

Request body

{
  "names": [
    "Grace",
    "Liam",
    "Taylor"
  ]
}

Example request

curl -X POST "https://api-name-intelligence.dataandapis.com/v1/gender" \
  -H "X-Api-Key: YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{ "names": [ "Grace", "Liam", "Taylor" ] }'
Example response
{
  "ok": true,
  "count": 4,
  "results": [
    {
      "name": "Grace",
      "gender": "female",
      "probability": 0.9974,
      "count": 536340
    },
    {
      "name": "Liam",
      "gender": "male",
      "probability": 0.9985,
      "count": 359085
    },
    {
      "name": "Taylor",
      "gender": "female",
      "probability": 0.7441,
      "count": 443686
    },
    {
      "name": "Zzyzx",
      "gender": "male",
      "probability": 1,
      "count": 10
    }
…
Show full response
{
  "ok": true,
  "count": 4,
  "results": [
    {
      "name": "Grace",
      "gender": "female",
      "probability": 0.9974,
      "count": 536340
    },
    {
      "name": "Liam",
      "gender": "male",
      "probability": 0.9985,
      "count": 359085
    },
    {
      "name": "Taylor",
      "gender": "female",
      "probability": 0.7441,
      "count": 443686
    },
    {
      "name": "Zzyzx",
      "gender": "male",
      "probability": 1,
      "count": 10
    }
  ]
}

GETData Sources

https://api-name-intelligence.dataandapis.com/v1/sources

This endpoint takes no parameters.

Example request

curl "https://api-name-intelligence.dataandapis.com/v1/sources" \
  -H "X-Api-Key: YOUR_API_KEY"
Example response
{
  "ok": true,
  "count": 2,
  "sources": [
    {
      "slug": "census-surnames",
      "name": "US Census Bureau surnames (2010 Census)",
      "publisher": "US Census Bureau",
      "licence": "US Government work - public domain",
      "source_url": "https://www.census.gov/topics/population/genealogy/data/2010_surnames.html",
      "file_url": "https://www2.census.gov/topics/genealogy/2010surnames/names.zip",
      "cadence": "decennial",
      "record_count": 162253,
      "retrieved_at": "2026-09-02"
    },
    {
      "slug": "ssa-names",
      "name": "SSA national baby names 1880-2025",
      "publisher": "US Social Security Administration",
      "licence": "US Government work - public domain",
      "source_url": "https://www.ssa.gov/oact/babynames/",
      "file_url": "https://www.ssa.gov/oact/babynames/names.zip",
      "cadence": "annual (May release)",
      "record_count": 105966,
      "retrieved_at": "2026-09-02"
    }
  ]
}

GETGet Name Statistics

https://api-name-intelligence.dataandapis.com/v1/names/{name}

Path parameters

ParameterExample
nameAdaRequired

Example request

curl "https://api-name-intelligence.dataandapis.com/v1/names/Ada" \
  -H "X-Api-Key: YOUR_API_KEY"
Example response
{
  "ok": true,
  "name": "Ada",
  "gender": "female",
  "gender_probability": 0.9974,
  "counts": {
    "male": 278,
    "female": 106905,
    "total": 107183
  },
  "years": {
    "first": 1880,
    "last": 2025,
    "peak": 1918
  },
  "peak_count": 1950,
  "by_decade": {
    "1880": 8451,
    "1890": 10422,
    "1900": 9129,
    "1910": 15286,
    "1920": 15212,
    "1930": 8521,
    "1940": 5890,
    "1950": 4306,
    "1960": 2874,
    "1970": 1929,
    "1980": 1617,
…
Show full response
{
  "ok": true,
  "name": "Ada",
  "gender": "female",
  "gender_probability": 0.9974,
  "counts": {
    "male": 278,
    "female": 106905,
    "total": 107183
  },
  "years": {
    "first": 1880,
    "last": 2025,
    "peak": 1918
  },
  "peak_count": 1950,
  "by_decade": {
    "1880": 8451,
    "1890": 10422,
    "1900": 9129,
    "1910": 15286,
    "1920": 15212,
    "1930": 8521,
    "1940": 5890,
    "1950": 4306,
    "1960": 2874,
    "1970": 1929,
    "1980": 1617,
    "1990": 1600,
    "2000": 3407,
    "2010": 9044,
    "2020": 9495
  }
}

GETGet Surname

https://api-name-intelligence.dataandapis.com/v1/surnames/{name}

Path parameters

ParameterExample
nameNguyenRequired

Example request

curl "https://api-name-intelligence.dataandapis.com/v1/surnames/Nguyen" \
  -H "X-Api-Key: YOUR_API_KEY"
Example response
{
  "ok": true,
  "name": "Nguyen",
  "rank": 38,
  "count": 437645,
  "per_100k": 148.36
}

GETInfer Gender

https://api-name-intelligence.dataandapis.com/v1/gender/{name}

Path parameters

ParameterExample
nameTaylorRequired

Example request

curl "https://api-name-intelligence.dataandapis.com/v1/gender/Taylor" \
  -H "X-Api-Key: YOUR_API_KEY"
Example response
{
  "ok": true,
  "name": "Taylor",
  "gender": "female",
  "probability": 0.7441,
  "count": 443686
}

GETSearch First Names

https://api-name-intelligence.dataandapis.com/v1/names

Query parameters

ParameterExample
genderfemaleOptional
limit20Optional
min_total10000Optional
page1Optional
qKaOptional

Example request

curl "https://api-name-intelligence.dataandapis.com/v1/names?gender=female&limit=20&min_total=10000&page=1&q=Ka" \
  -H "X-Api-Key: YOUR_API_KEY"
Example response
{
  "ok": true,
  "total": 68,
  "page": 1,
  "limit": 20,
  "count": 3,
  "results": [
    {
      "name": "Karen",
      "gender": "female",
      "gender_probability": 0.9972,
      "counts": {
        "male": 2785,
        "female": 987989,
        "total": 990774
      },
      "years": {
        "first": 1881,
        "last": 2025,
        "peak": 1957
      },
      "peak_count": 40668,
      "by_decade": {
        "1880": 49,
        "1890": 79,
        "1900": 98,
        "1910": 304,
        "1920": 564,
…
Show full response
{
  "ok": true,
  "total": 68,
  "page": 1,
  "limit": 20,
  "count": 3,
  "results": [
    {
      "name": "Karen",
      "gender": "female",
      "gender_probability": 0.9972,
      "counts": {
        "male": 2785,
        "female": 987989,
        "total": 990774
      },
      "years": {
        "first": 1881,
        "last": 2025,
        "peak": 1957
      },
      "peak_count": 40668,
      "by_decade": {
        "1880": 49,
        "1890": 79,
        "1900": 98,
        "1910": 304,
        "1920": 564,
        "1930": 16760,
        "1940": 168154,
        "1950": 333094,
        "1960": 286775,
        "1970": 95549,
        "1980": 35186,
        "1990": 24694,
        "2000": 20712,
        "2010": 7398,
        "2020": 1358
      }
    },
    {
      "name": "Kathleen",
      "gender": "female",
      "gender_probability": 0.9976,
      "counts": {
        "male": 1691,
        "female": 713645,
        "total": 715336
      },
      "years": {
        "first": 1880,
        "last": 2025,
        "peak": 1951
      },
      "peak_count": 26749,
      "by_decade": {
        "1880": 389,
        "1890": 1942,
        "1900": 3924,
        "1910": 16606,
        "1920": 33679,
        "1930": 34708,
        "1940": 153343,
        "1950": 224736,
        "1960": 121252,
        "1970": 45025,
        "1980": 39578,
        "1990": 24865,
        "2000": 10065,
        "2010": 3809,
        "2020": 1415
      }
    },
    {
      "name": "Katherine",
      "gender": "female",
      "gender_probability": 0.9972,
      "counts": {
        "male": 1824,
        "female": 650926,
        "total": 652750
      },
      "years": {
        "first": 1880,
        "last": 2025,
        "peak": 1990
      },
      "peak_count": 11657,
      "by_decade": {
        "1880": 6927,
        "1890": 9413,
        "1900": 12139,
        "1910": 36965,
        "1920": 42911,
        "1930": 25332,
        "1940": 40042,
        "1950": 67002,
        "1960": 50775,
        "1970": 54251,
        "1980": 99625,
        "1990": 97053,
        "2000": 65475,
        "2010": 34165,
        "2020": 10675
      }
    }
  ]
}

GETSearch Surnames

https://api-name-intelligence.dataandapis.com/v1/surnames

Query parameters

ParameterExample
limit20Optional
max_rank100Optional
page1Optional
qNguOptional

Example request

curl "https://api-name-intelligence.dataandapis.com/v1/surnames?limit=20&max_rank=100&page=1&q=Ngu" \
  -H "X-Api-Key: YOUR_API_KEY"
Example response
{
  "ok": true,
  "total": 1,
  "page": 1,
  "limit": 20,
  "count": 1,
  "results": [
    {
      "name": "Nguyen",
      "rank": 38,
      "count": 437645,
      "per_100k": 148.36
    }
  ]
}

Where the data comes from

Source
US Social Security Administration first-name records 1880 to 2025 and the Census Bureau surname file (public domain).
Freshness
Annual reload when the SSA publishes the next year.

One install. Every endpoint.

No proprietary SDKs needed. Any HTTP client works. Pick your language and paste.

3languages
7endpoints
RESTarchitecture
1key for all APIs
  • Fully typed responses — auto-completion in your IDE
  • Tracks the API in lockstep — new endpoints land same day
  • One key works across 125+ APIs on the platform
import axios from 'axios';

const { data } = await axios.get(
  'https://api-name-intelligence.dataandapis.com/v1/gender',
  { headers: { 'X-Api-Key': process.env.API_KEY } }
);

Name Intelligence API · X-Api-Key

Explore the endpoints

Browse request parameters and inspect live example responses.

Available Endpoints

Request Parameters

API URL

Headers

X-Api-Key
Content-Type

Request Body

application/json
import axios from 'axios';

const url = 'https://api-name-intelligence.dataandapis.com/v1/gender';
const body = {
  "names": [
    "Grace",
    "Liam",
    "Taylor"
  ]
};

const { data } = await axios.post(url, body, {
  headers: {
    'X-Api-Key': 'YOUR_API_KEY',
    'Content-Type': 'application/json'
  }
});

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