Get a probable gender estimate from a first name
Request a classification and confidence percentage when you have a first name and a clear reason to use the signal.
Trigger
Webhook received
Notis starts this workflow when an external tool or custom backend sends an HTTP request.
Action
Append Gender by First Name
Estimates a person's gender from their first name.
Why this helps
Manually researching a name for a low-stakes classification adds friction and may still leave uncertainty.
- Return a probable gender classification with confidence percentage.
- Make uncertainty visible in the result.
- Keep the lookup attached to the request for review.
Setup
Build it in a few focused steps.
- 1Connect Abstract and Data247 once in the Notis portal.
- 2Create an automation in Automations, New Automation, and give it a name.
- 3Tell Notis to request a probable gender estimate and confidence percentage for the first name in each request.
- 4Choose the webhook trigger and where run reports should go.
- 5Test with one real first name and review the confidence returned.
Questions about this workflow
Is the result certain?
No. It is a probable estimate with a confidence percentage and should not be treated as a person's self-identified gender.
What input does it use?
The action uses a person's first name.
When this happens · Trigger
Do this · Action
Supported Triggers and Actions
Notis builds workflows that link Abstract to Data247. A trigger fires from one place; an action lands in another.
Abstract triggers
Data247 actions
Recurring trigger
Notis starts this workflow on a schedule, such as daily, weekly, or during business hours.
Append Email by Name and Address (v2)
Webhook trigger
Notis starts this workflow when an external tool or custom backend sends an HTTP request.
Append Gender by First Name
Estimates a person's gender from their first name.
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Connect any two apps with Notis in the middle.
Abstract and Data247, or any other combination from 1,000+ integrations.
When this happens · Trigger
Do this · Action
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