Prepare captured names for accurate correspondence
Take a raw full name from an AI workflow and return structured name parts ready for review or personalized documents.
Trigger
Webhook received
Notis starts this workflow when an external tool or custom backend sends an HTTP request.
Action
Clean Name (FIO)
Parses and standardizes a full name, with gender and grammatical forms.
Why this helps
Raw names may be entered in different orders or cases, making personalized correspondence harder to prepare.
- Parse full names into structured parts.
- Detect gender where supported by the data.
- Retrieve grammatical cases for document and message wording.
Setup
Build it in a few focused steps.
- 1Connect Ai ml api and Dadata ru once in the Notis portal.
- 2Create an automation in Automations, New Automation, or tell Notis to create it from any channel.
- 3In one instruction, ask Notis to send the captured full name to Dadata Clean Name and return its parsed parts and cases.
- 4Choose a webhook trigger and provide its URL to the workflow that captures names.
- 5Choose a report channel and test with one real name.
Questions about this workflow
Does the action fill in names that were not provided?
No. It standardizes and parses the raw full name supplied to it.
What can the result include?
The action parses FIO, detects gender, and returns grammatical cases.
When this happens · Trigger
Do this · Action
Supported Triggers and Actions
Notis builds workflows that link Ai ml api to Dadata ru. A trigger fires from one place; an action lands in another.
Ai ml api triggers
Dadata ru actions
Recurring trigger
Notis starts this workflow on a schedule, such as daily, weekly, or during business hours.
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Webhook trigger
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Connect any two apps with Notis in the middle.
Ai ml api and Dadata ru, or any other combination from 1,000+ integrations.
When this happens · Trigger
Do this · Action
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