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Fraud Protection

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Opportify Fraud Protection is a fraud detection software solution that evaluates sign-up flows, lead capture forms, and registration submissions before they enter a customer’s CRM, backend, or onboarding pipeline. It combines interaction and session intelligence (device fingerprinting, behavioral signals, automation detection) with input and signal intelligence (email validation, IP threat analysis, content quality checks, and velocity analysis) into a unified risk assessment for each submission. The product is designed for SaaS companies, marketplaces, fintech teams, marketing operations, and any business that collects leads or account registrations through web forms. Common use cases include sign-up flow protection, lead form quality filtering, trial abuse prevention, pre-KYC risk screening, and CRM pipeline protection. Fraud Protection is available through two integration methods: 1) Form Fraud Protection: A client-side JavaScript integration for existing HTML forms. Customers add a script tag and configure form endpoints in the Opportify dashboard. Submissions are analyzed and scored asynchronously. 2) Fraud Protection API: A server-to-server REST API for synchronous risk scoring from backend workflows, mobile apps, and custom registration flows. Hybrid deployment combines the JavaScript client with the API for broader signal coverage. Each analyzed submission receives a normalized risk score from 200 to 1000, one of five risk levels (lowest, low, medium, high, highest), and explainable reason codes. Signals analyzed include bot and automation indicators, device spoofing, disposable or high-risk emails, VPN/proxy/Tor IP usage, behavioral patterns, device fingerprint reuse, and session anomalies. Key capabilities include: - Multi-signal risk scoring across email, IP, device, behavior, and content - Dashboard for reviewing submissions segmented by risk level - Webhook and email notifications for high-risk submissions - Integrations with HubSpot, Zapier, and custom webhook endpoints - REST API and SDKs (Node.js, Python, PHP, Java) - Volume-based pricing with a 14-day free trial Fraud Protection outputs are advisory risk signals. Customers define their own policies and take action based on scores in their existing systems.

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