Turn AI-extracted contact details into clean records
When an AI workflow extracts several contact details at once, send the record to Dadata for a single structured cleanup.
Trigger
Webhook received
Notis starts this workflow when an external tool or custom backend sends an HTTP request.
Action
Clean Composite Record
Standardizes contact records containing multiple types of data.
Why this helps
AI-extracted contact details can contain inconsistent formatting and typos that create more manual review.
- Clean multiple supported contact fields in one request.
- Reduce manual correction after document or message processing.
- Keep a consistent record for downstream work.
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 extracted name, address, phone, email, passport, birthdate, or vehicle details to Dadata for composite cleanup.
- 4Choose a webhook trigger and provide its URL to the workflow that sends the extracted record.
- 5Choose a report channel and test with one real record.
Questions about this workflow
What starts this automation?
A request to its Notis webhook starts it. An external AI workflow can send the extracted record in that request.
Does Dadata clean every possible field?
The composite action supports combinations of name, address, phone, email, passport, birthdate, or vehicle data. Send only relevant fields.
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.
Clean Address
Standardizes a Russian postal address and parses its components.
Webhook trigger
Notis starts this workflow when an external tool or custom backend sends an HTTP request.
Clean Birthdate
Standardizes birthdates and reports whether they could be parsed.
Clean Email
Cleans and validates an email address, correcting common domain typos.
Clean Name (FIO)
Parses and standardizes a full name, with gender and grammatical forms.
Clean Passport
Checks a Russian passport number against the official registry.
Clean Phone
Standardizes and validates a phone number.
Clean Vehicle
Identifies and standardizes a vehicle's make and model from text.
Clean Composite Record
Standardizes contact records containing multiple types of data.
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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