Anonymize lead data collected with Agenty
Keep useful lead research while masking personal details before it moves into another workflow.
Trigger
Webhook received
Notis starts this workflow when an external tool or custom backend sends an HTTP request.
Action
Anonymize Sensitive Text
Replace personal data in text with truncated SHA-256 hashes and return a mapping of replacements.
Why this helps
Scraped lead notes can contain personal details that are easy to overlook when forwarding data for analysis.
- Reduce exposure of personal details in scraped text.
- Keep anonymized text and entity mappings available for review.
Setup
Build it in a few focused steps.
- 1Connect Agenty and Apipie ai once in the Notis portal.
- 2Create an automation in the portal or tell Notis in plain language.
- 3In one instruction, ask Notis to send webhook-provided Agenty lead text to Apipie ai for anonymization and return the result.
- 4Choose the webhook trigger and select where run reports go.
- 5Test with one real example that contains personal details.
Questions about this workflow
What starts this workflow?
An HTTP request to its Notis webhook starts the automation. Include the Agenty-collected text in the request.
Does anonymization remove every possible identifier?
Apipie ai detects and replaces supported sensitive entities. Review the result before relying on it for a particular privacy requirement.
When this happens · Trigger
Do this · Action
Supported Triggers and Actions
Notis builds workflows that link Agenty to Apipie ai. A trigger fires from one place; an action lands in another.
Agenty triggers
Apipie ai actions
Recurring trigger
Notis starts this workflow on a schedule, such as daily, weekly, or during business hours.
Delete Vectors
Deletes selected vectors or all vectors in a collection.
Webhook trigger
Notis starts this workflow when an external tool or custom backend sends an HTTP request.
Anonymize Sensitive Text
Replace personal data in text with truncated SHA-256 hashes and return a mapping of replacements.
Create Vector Collection
Create a vector collection for storing embeddings with a specified dimension.
Get query history
Shows past usage activity, including performance, costs, and source details.
Delete state
Delete app-level state, or specific user state when requested.
List AI Models
Lists available AI models with their pricing, availability, and capabilities.
Get Detailed Models
Retrieve detailed information about available AI models, including pricing and capabilities.
Get state
Retrieve current state settings for an app or a specific user.
Connect any two apps with Notis in the middle.
Agenty and Apipie ai, or any other combination from 1,000+ integrations.
When this happens · Trigger
Do this · Action
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