Screen community content before it reaches your team
Collect posts from a website and get a safety signal in one automated pass, so your team can focus on the items that need a closer look.
Trigger
Webhook received
Notis starts this workflow when an external tool or custom backend sends an HTTP request.
Action
Moderation Completion
Why this helps
Reviewing every post manually takes attention away from higher-value work, while unsafe content can be easy to miss.
- Triage scraped posts and comments for safety
- Reduce repetitive first-pass review
- Keep a human review step for flagged content
Setup
Build it in a few focused steps.
- 1Connect AgentQL and Ai ml api once in the Notis portal.
- 2Create an automation by telling Notis the outcome you want.
- 3Describe which user-generated text or images to fetch and ask for a moderation result for each item.
- 4Choose the webhook trigger and select where run reports should go.
- 5Test with one real example and confirm the returned moderation results are useful.
Questions about this workflow
What starts this workflow?
An HTTP request to its Notis webhook starts it. Include enough context for AgentQL to locate the relevant page or content.
Does moderation remove content?
The available action classifies text or images for safety. This workflow returns a moderation result; it does not claim to delete or hide content.
Can it review images too?
Yes, if AgentQL can retrieve the image content in a form the moderation action can process.
When this happens · Trigger
Do this · Action
Supported Triggers and Actions
Notis builds workflows that link Agentql to Ai ml api. A trigger fires from one place; an action lands in another.
Agentql triggers
Ai ml api actions
Recurring trigger
Notis starts this workflow on a schedule, such as daily, weekly, or during business hours.
Cancel Run
Cancel a run that is currently in progress.
Webhook trigger
Notis starts this workflow when an external tool or custom backend sends an HTTP request.
Text Chat Completion
Generates a text completion or chat response using an AI model.
Create Assistant
Create an AI assistant with its chosen model, instructions, and tools.
Create Message
Add a user or assistant message to an existing thread.
Create Run
Start an assistant run on a thread to process its messages and generate a response.
Create Thread
Create a conversation thread that stores messages and context.
Delete Assistant
Delete an assistant.
Delete Message
Delete a message from a thread.
Connect any two apps with Notis in the middle.
Agentql and Ai ml api, or any other combination from 1,000+ integrations.
When this happens · Trigger
Do this · Action
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