Check one name or a small list and keep the probability and evidence count alongside each estimate.
Copy a prompt into your agent with the oo Skill installed. Add your page links and source notes before running it.
Organize probabilities and sample sizes while flagging names with no prediction.
/oo Genderize: Query Genderize for these names [up to ten names] in [country]. Show the estimate, probability, and sample count for each, and identify unknown results.
Set up oo CLI and the oo Skill in your agent.
Install OOMOL →Connect your Genderize API key.
Connect Genderize →Use /oo with the pages to read, the changes to make, and where to save the result.
Connection Guide →Choose Your Agent
Genderize estimates gender from name statistics. The connection supports single-name and batch queries with an optional country context.
Query one name or up to ten names with an optional country restriction.
Predict the gender probability for a single name, optionally localized to one country.
Leina 
Wanta 
genderize.predict_gender Predict the gender probability for up to 10 names in a single request, optionally localized to one country.
genderize.predict_gender_batch No matching tools.
Yes. Provide the country so the assistant can use its two-letter country code to localize the estimate.
The result can contain an unknown gender and absent probability. Keep it as unknown rather than assigning a category.
Read it with the sample count and country context. It describes a name-based statistical estimate and should not be presented as a fact about a person.
Manage which optional storage OOMOL can use. You can change these choices from the footer at any time.