$ loading_
Detect suspicious IPs, emails, URLs, and phone numbers with actionable risk scores.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "fraud-prevention-mcp-server" yet — see the docs or source repo.
Please assess the fraud risk of this signup data: IP 203.0.113.24, email [email protected], phone number +1 202-555-0147. Give separate risk scores, reasons, and a recommendation on whether to allow registration.
Returns itemized risk scores, suspicious signal explanations, and a recommendation to allow, block, or require extra verification.
Analyze whether this URL may be involved in phishing or fraud: https://example-login-security.com. Output the risk level, main evidence, and handling advice for the support team.
Provides a URL risk assessment, supporting evidence, and follow-up actions suitable for support or security teams.
Before approving this order, check the fraud risk of customer email [email protected], phone number +44 7700 900123, and source IP 198.51.100.42, then summarize the result in a short review conclusion.
Outputs a concise review-ready conclusion with an overall risk score, key risk factors, and an approval recommendation.
Analyze MCP tool security risks, detect malicious behavior, and provide risk scores.
Analyze Android and iOS app packages for security issues via natural language.
Use Sift for real-time fraud scoring, decisions, and event ingestion.
Assess behavioral cybersecurity and AI risk in financial workflows automatically.
Validate AI-generated code with browser tests, evidence capture, and smart diagnostics.
Analyze images for AI-generation signs using multiple forensic inspection methods.