Pyzit TMD

Protecting SaaS platforms from signup fraud has become essential as bad actors exploit free trials and analytics with disposable email addresses. Pyzit TMD tackles this vulnerability head-on by providing real-time detection of temporary and burner inboxes, targeting engineering teams that need to verify email legitimacy at the gateway before fraudulent accounts reach their databases.

The core strength of this offering lies in its speed and scale. The detection engine processes incoming registration attempts in under 5 milliseconds, operating at 2,840 requests per second without sacrificing accuracy. This performance envelope matters because fraud prevention cannot create friction in legitimate signup flows. By monitoring 150,000 disposable domains and classifying emails across multiple categories—disposable, burner, corporate, business, and enterprise—the system blocks coordinated attacks while allowing legitimate users through.

Integration appears straightforward for developers. The API slots into common signup touchpoints including registration forms, free trial captures, and lead funnels. The platform exposes both synchronous verification and an asynchronous event stream, giving teams flexibility in how they consume the data. Webhook notifications trigger automatically when suspicious activity patterns emerge, and a live monitoring dashboard surfaces domain anomalies and signup volume trends in real time.

Beyond basic blocking, the product includes autonomous reporting and threat intelligence features. This means teams get audit-ready fraud metrics and continuous visibility into attack patterns without manual investigation. The platform claims to free up approximately 60 hours monthly per team, though this figure likely depends heavily on organization size and fraud volume.

The company operates a freemium model. The sandbox environment grants 25 free checks daily with rate limits of 1 request per second burst and 5 requests per minute sustained, sufficient for developers to evaluate the API before committing. Production pricing is not disclosed on the public-facing content.

For SaaS companies operating free trials or low-friction signup flows, this directly addresses a material fraud surface. The technical implementation prioritizes the latency and throughput requirements of modern gateway systems rather than treating fraud detection as a batch process. The classification granularity lets teams apply different policies to different email types. What remains unclear from the marketing materials is the underlying data collection methodology and update frequency for the domain database—critical details for understanding detection accuracy over time.