Docs/APIs/Gender Detector

Gender Detector

Detect gender based on name

OperationalCredits 2 per callp50 494msData LookupStar

Overview

Gender Detector works by analyzing the name provided and predicting the likely gender of the person. It uses a machine learning model trained on a large dataset of names and their associated genders to make the prediction.

Live Test Gender Detector API →

Endpoint

One host, one path per API. The block below shows this call in four languages; every one of them is the same HTTP request. Making requests covers the timeouts, retries and parameter rules that apply to all of them. The SDKs wrap the same call in a typed client.

GEThttps://api.apiverve.com/v1/genderdetector
curl "https://api.apiverve.com/v1/genderdetector?name=John%20Mcdonald&country=US" \
  -H "x-api-key: your_api_key_here"

Replace your_api_key_here with the key from your dashboard. When the inputs arrive as a list rather than one at a time, batch requests run up to 200 of them through this same API in a single call.

Authentication

Send your key in the x-api-key header. That is the only auth step — there is no token exchange and no per-endpoint scope to configure. Authentication covers creating, rotating and revoking keys.

401 is the only auth verdict

A 401 means the key is missing, invalid or expired. A 403 means the key is valid but not permitted here — blocked by a key restriction or an IP allow-list. Running out of credits is a 429.

Parameters

Sent in the query string. Premium parameters are accepted on every plan but only take effect on plans that include them.

ParameterTypeDescription
nameRequiredstringThe name for which you want to detect the gender
countryOptionalstringThe country code for the name (e.g., US). Recorded and echoed back in the response, but detection does not yet vary by country - the same name returns the same gender whichever code you pass
default us · length 2–2

Response

Every API returns the same three top-level keys, so one response handler covers your whole integration: status, error and data. Only data changes shape. Response format covers the envelope, the other output formats and how premium fields are withheld.

Sample response
{
  "status": "ok",
  "error": null,
  "data": {
    "name": "John Mcdonald",
    "country": "US",
    "detected": true,
    "gender": "male"
  }
}

Response fields

Paths are relative to data. Premium fields are absent rather than zeroed on plans that do not include them, so check for presence instead of comparing to 0.

FieldTypeExampleDescription
namestring"John Mcdonald"The input name submitted for gender detection analysis
countrystring"US"The country code as submitted, echoed back. Detection does not yet vary by country
detectedbooleantrueAlways true on a successful response - a name the detector cannot place returns a 404 rather than detected: false
genderstring"male"The predicted gender of the person based on name analysis

Errors

Read the HTTP status first, then error for the specific reason. The body names the parameter that has to change. Error handling covers the full status list and which of them are worth retrying.

StatusMeaningWhat to do
400Input was rejectedRead error; it names the parameter.
401Key missing or invalidCheck the header name and the key value.
403Key valid, but not permittedA key restriction or IP allow-list; see key scoping.
429Rate limited, or out of creditsRead error to tell them apart; see rate limits.

Use cases

Email Salutation Selection
When drafting automated outreach, sales platforms choose correct honorifics and greeting styles based on the predicted gender returned for each recipient.
Account Profile Onboarding
Assign default avatars and profile pronouns automatically when a user signs up by matching their entered first name against regional gender predictions.
Audience Demographic Audits
To evaluate subscriber breakdowns without intrusive survey forms, newsletter editors tabulate aggregate gender distributions across their imported subscriber lists.
Personalized Catalog Navigation
Ecommerce fashion apps preselect relevant apparel landing tabs for new accounts by checking customer first names against country-specific gender results.

Other ways to use Gender Detector

Set up Gender Detector on APIVerve, or reach the same source a different way. Your APIVerve account and credits work on all of them — one key, one balance.

Give it to an AI agentConnect over MCP and your agent calls it as a native tool — Claude, Cursor, ChatGPT.VerveKit →Reference →
Google Sheets or ExcelA =VERVE() formula fills a column — no script, no export, recalculates in place.VerveSheets →Reference →
Ground an agent on itA cited, machine-checkable fact your model can't produce on its own.VerveContext →Reference →

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