✨ AI-assisted

Every signal that matters

A complete, AI-assisted verification engine — not just a regex. Here’s what runs on every check.

AI-assisted intelligenceAI

Edit-distance modelling suggests the intended domain — gmial.com → gmail.com — so real customers aren’t lost to a fat-fingered address.

Bot-generated, random and nonsense local parts are recognised and scored down before they pollute your list.

Dozens of weighted signals are fused into a single 0–100 score you can threshold on for your own risk appetite.

Clean JSON responses and machine-readable, AI-crawler-friendly docs drop verification straight into your LLM pipelines, agents and automations.

Disposable and provider datasets are refreshed so detection keeps pace with new throwaway and temporary-mail services.

Strict parsing and normalization catches malformed addresses instantly.

We confirm the domain exists and has mail exchangers (with A-record fallback).

A real SMTP conversation confirms the mailbox accepts mail — without sending anything.

A random-address probe reveals accept-all domains so “accepted” never fools you.

Temporary deferrals are detected and retried automatically.

Thousands of throwaway domains flagged, editable from the admin panel.

info@, support@, admin@ and other shared mailboxes are surfaced.

Know when an address is gmail, outlook, yahoo and similar.

Damerau-Levenshtein matching proposes the likely intended domain.

Random-looking local parts lower the confidence score.

Verify one address or millions through the asynchronous batch endpoint.

Get notified the moment a batch completes.

Predictable throughput with standard rate-limit headers.

Filterable history, CSV export and usage analytics.

Verification workers run from clean IPs with correct rDNS.