"email":"[email protected]",
"is_disposable_email": true,
"quality_score": 0.33,
"deliverability": "DELIVERABLE",
"is_mx_found": true,
"is_smtp_valid": true"is_valid_format": true
Billed monthly
Billed yearly
Updated the database to reflect new domains and disposable email address providers
May 20, 2024
Enhanced multilingual support for detecting typos and providing smart suggestions to cover various languages
April 8, 2024
Updated database of disposable email addresses to display new sources
March 25, 2024
The Abstract email validation API takes an email address and identifies whether it is valid or not, and how risky we think it will be. This real-time or asynchronous capability will help you detect and suppress any invalid or disposable email addresses, which will help clean your email list, reduce your bounce rate, and thus improve your email delivery rate for legitimate users. Email validation is especially powerful when combined with tools like the IP geolocation API and / or the phone number validation API to provide simple checks for new users.
Abstract's email validation API uses a variety of increasingly sophisticated and frequently updated techniques to ensure you suppress all invalid or risky emails. These techniques include (but are not limited to): checking for syntax errors and typos in the email address (e.g., [email protected]), doing real time SMTP and MX record checks against the email's domain, performing a sophisticated regular expression (regex) check on the email, and using a variety of other filters backed by machine learning to detect invalid or risky emails.
We can also identify and flag other characteristics of an email, such as whether it's from a free email provider (such as Yahoo or Gmail), whether it's from a disposable email services (such as Yopmail), and whether it's from a 'role' email address (such as team@ or @sales@).
We can also help you identify emails that are from recently registered domains, even if those domains otherwise past other filters. Recently registered domains and emails can signal that the user is fraudulent, spammy, or in some other way needs to be reviewed.