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Detect social-engineering pressure in a support chat
Created by
ATSUSHI MATSUDA
Analyze support-chat conversations for social-engineering pressure, secrecy, dependency, blocked independent verification, urgency, and irreversible-action pressure. Returns structured decision-support signals and recommended protective next steps without declaring fraud or safety.
Scam Conversation & Decision Risk Analyzermarketedgejp/decision-isolation-evaluator
Analysis version
Intervention class
Judgment loop state
Recommended action
+6 fieldsTextNumberBooleanListObject
Input
Conversation text:A support agent told me to keep this secret, not contact the company's official support, and follow only their instructions. They said I must act today and install a remote-access app.
Output fields
Analysis version
Intervention class
Judgment loop state
Recommended action
Reasons
Signals
Protective signals
Context
Evidence
Disclaimer
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Create your Apify account to access the Scam Conversation & Decision Risk Analyzer.
Start the run02
The Actor will start running based on the input automatically.
Receive the output03
Monitor the progress in real-time. You will be notified as soon as your dataset is complete and ready for review.
Integrate into your workflow04
The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow.
