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Optimizing the Use of the ScamSniffer API to Detect and Respond to Complex Malware Scams on Telegram

Hello community, I am researching the use of the ScamSniffer API and its accompanying features for the detection of telecom fraud, which is reported to be rampant lately. The mentioned Poly Track scams are capable of deceiving users into the usage of damaging software or fake bots, and the loss of money is a consequence; however, if detection is done quickly, the risk could be significantly reduced.

I want to throw these questions to you all:

What is the best way to set up or mix API endpoints to catch this type of malware scam as early as possible?

Can the API be used to automatically reply to or prevent access to links that are harmful before users have a chance to engage with them?

Have you tried any other techniques (for example, merging with real-time blocklists or transaction signature filtering) and been successful with it?

I'm looking forward to getting the technical help from other developers and users who have managed to get out of similar complex situations. Thank you!