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Genderize.io

Predict the gender most likely behind a name with Genderize.io, from a dataset of around a billion name records covering 249 countries.

actions
3

Actions

Steps a workflow can run in Genderize.io.

  • Predict gender from a namePredict the gender most likely behind one name, with how confident that is and how many people it is based on. Send a full name where you have one - the surname adds signal - or just a first name. Choose a country to read the name the way that country uses it. Costs one name from your monthly plan.
  • Predict gender for a list of namesPredict the gender behind every name in a list, in one step - a column from a spreadsheet, the attendees of an event, a batch of new signups. Results come back in the order the names went in. Repeated names are looked up once, so only the names Genderize is actually asked about come off your monthly plan. Up to 500 names per step.
  • Compare a name across countriesRead one name in several countries at once and see whether they agree - Kim is female in the United States and male in Denmark. Use it to decide whether a name is safe to act on when you do not know where someone is from. The worldwide reading comes back too, as the baseline. Costs one name from your monthly plan per country, plus one for the worldwide reading.

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