This n8n workflow is designed to evaluate the legitimacy of a website using AI and multiple data sources. When a user submits a website URL via a form, the workflow triggers a comprehensive scam risk assessment. It integrates various tools and AI models to analyze domain details, security features, reputation signals, pricing patterns, and content quality.

The process begins with collecting the URL and then querying different agents for specific insights using SerpAPI and OpenAI’s GPT-4 models. These agents gather information about domain age, TLD trustworthiness, SSL certification, scam reports, pricing irregularities, and content authenticity.

The gathered data from multiple assessments are then aggregated and evaluated by an overall agent, which provides a scam risk score on a scale of 1 to 10, where 10 indicates a high likelihood of scam activity. The workflow is ideal for website verification, reputation management, or fraud prevention efforts, making it valuable for businesses, cybersecurity teams, or consumers concerned about online scams.

Node Count	11 – 20 Nodes
Nodes Used	@n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.toolSerpApi, aggregate, formTrigger, merge, stickyNote