Fraud and security teams face a multi-vector threat landscape. Chargebacks from fraudulent transactions erode revenue and damage merchant relationships with payment processors. Fake account creation enables abuse of free trials, promotional offers, and referral programs. Stolen payment credentials are often tested with small purchases from throwaway accounts before scaling to larger fraud. Each of these vectors shares a common enabler: disposable and temporary email addresses. Fraudsters rely on anonymity; disposable domains provide it. When an attacker uses an address from a known throwaway provider, that signal—combined with other risk indicators—strongly correlates with malicious intent.
Traditional fraud controls—device fingerprinting, velocity checks, geolocation—remain valuable but are increasingly circumvented. Disposable emails, however, are a persistent and reliable signal. The domains are well-documented; new ones emerge regularly but are quickly catalogued. By integrating disposable email detection at key touchpoints, fraud teams add a low-friction, high-signal layer to their risk assessment stack.
Emailyze provides a multi-signal risk assessment for every email address. The API returns risk_score (0–100), is_disposable, and provider_type, enabling rules that fit your risk tolerance and compliance requirements. The database covers 30,000+ domains, updated hourly from multiple sources, so you benefit from current coverage without maintaining your own list. For organizations with strict data sovereignty requirements, an on-premise deployment option keeps verification logic and data within your infrastructure.
The risk_score field consolidates multiple signals into a single numeric value:
Example API call and response:
curl -H "X-API-Key: YOUR_API_KEY" \
"https://api.emailyze.xyz/v1/check/?email=fraudster@guerrillamail.com"{
"email": "fraudster@guerrillamail.com",
"domain": "guerrillamail.com",
"is_disposable": true,
"risk_score": 94,
"provider_type": "disposable"
}Use risk_score in combination with is_disposable for defense-in-depth. Some teams block when either is_disposable is true or risk_score ≥ 80; others use score bands for different actions (e.g., auto-approve below 30, manual review 31–79, block 80+).
Deploy Emailyze at multiple touchpoints to maximize coverage:
A single API call per touchpoint adds minimal latency. The batch endpoint supports up to 1,000 emails per request for bulk operations such as auditing existing accounts or processing imported lists.
Emailyze maintains a database of 30,000+ disposable, temporary, and masked domains. Data is aggregated from multiple sources and updated hourly, ensuring coverage of new providers and retired domains. The provider_type field categorizes each domain: disposable, personal, freemail, masked, or unknown. This granularity helps distinguish between malicious throwaways and legitimate privacy tools (e.g., Apple Hide My Email, Firefox Relay), which some organizations may choose to allow.
For organizations with strict data sovereignty, regulatory, or privacy requirements, Emailyze offers an on-premise deployment. Verification runs entirely within your infrastructure; no email addresses or lookup data leave your network. This is critical for regulated industries (finance, healthcare, government) and for teams that must comply with regional data residency rules. The on-premise deployment uses the same API interface, so integration logic remains unchanged.
Disposable email detection works best as part of a layered approach. Combine it with device fingerprinting, velocity checks, and behavioral analysis for defense-in-depth. A high risk_score from Emailyze can elevate the overall risk tier in your decision engine, triggering additional checks (e.g., manual review, step-up authentication) when other signals are ambiguous. Conversely, a low score can reduce friction for legitimate users—especially when the email is from a known personal or corporate domain. The goal is to catch fraud without blocking good customers; email signals help you make that distinction more accurately.
For bulk risk assessment—auditing existing accounts, evaluating imported lists, or backfilling historical data—use the batch endpoint. Send up to 1,000 emails per request:
curl -X POST -H "X-API-Key: YOUR_API_KEY" -H "Content-Type: application/json" \
-d '{"emails": ["user1@domain.com", "user2@domain.com", ...]}' \
"https://api.emailyze.xyz/v1/check/batch/"Process large datasets in parallel by chunking and running multiple requests. Identify high-risk accounts for remediation (e.g., require re-verification, limit privileges) or flag for manual review.
The provider_type field enables fine-grained policies. disposable domains are typically blocked. freemail (Gmail, Yahoo, Outlook) may be allowed but monitored. masked (Apple, Firefox Relay) can be treated as lower risk for privacy-conscious users. unknown domains may warrant additional verification. Tuning these thresholds based on your chargeback and abuse data improves accuracy over time. Start conservative (block disposables, flag 80+ risk_score) and relax as you gain confidence. Use the feedback endpoint to report false positives; this helps improve the domain list and reduces friction for legitimate users over time. Correlate Emailyze signals with your existing fraud rules to identify which combinations yield the best precision and recall. Share findings with your risk committee to align policy with business objectives. The 30,000+ domain database is updated hourly, so coverage stays current as fraudsters adopt new disposable providers. Integrate early in the user journey to maximize the benefit; the sooner you detect high-risk addresses, the less damage they can cause.
Strengthen your fraud prevention stack with disposable email detection. Integrate the [Emailyze API](/docs) at signup, checkout, and account change touchpoints. Review the [security page](/security) for data handling and compliance details. For on-premise deployment, contact sales or see the [on-premise guide](/guides/on-premise).