Traditional Validators
- — SMTP handshake returns “valid” for every address on the domain
- — Cannot detect abandoned or never-used mailboxes
- — Label entire catch-all domains as “accept-all: unknown”
- — Force you to guess which addresses are real
AI-Powered Email Scoring
Every email tool gives you a binary answer: valid or invalid. That works until you hit a catch-all domain, and suddenly 30% of your list is labeled “valid” when half those addresses are dead. VeriFox scores every email 0–100 using 40+ behavioral signals so you know exactly which addresses will bounce.
Every email gets a confidence score · Not just valid/invalid
SCORES FROM 500 MILLION+ EMAILS ANALYZED
Accuracy on catch-all domains
Behavioral signals analyzed
Average scoring latency
Fewer bounces vs. binary tools
The price of guessing
Most ESPs start throttling or suspending your account when your bounce rate exceeds 2%. A single campaign to an unscored list can cross this line.
Roughly 30% of B2B domains are configured as catch-all. If you skip scoring, nearly a third of your list is a blind spot.
Once sender reputation drops, it takes 72+ hours for ESPs to re-evaluate your domain. During that window, even good emails land in spam.
The catch-all problem
A catch-all domain accepts mail sent to any address, whether the mailbox exists or not. The mail server responds with “250 OK” to every RCPT TO command. Traditional validators mark every address as valid — and you’re left guessing.
RCPT TO: sales@acme.com 250 OK (Accepted)
RCPT TO: asdf123xyz@acme.com 250 OK (Accepted)
Both get the same “accepted” response. Only one is a real person.
The industry gap
Traditional Validators
VeriFox AI Scoring
How it works
CATCH-ALL DETECTION
When a mail server is configured to accept everything, traditional validators give up and label the entire domain 'unknown.' Our behavioral engine analyzes engagement signals behind the SMTP response to separate real inboxes from black holes.
ENGAGEMENT INTELLIGENCE
A valid email address means nothing if the owner hasn't opened a message in 6 months. Our scoring engine detects dormant, abandoned, and secondary inboxes before you waste sends on them.
RISK CLASSIFICATION
Binary valid/invalid leaves you guessing on the 30% of addresses that sit in the gray zone. Our 4-tier scoring system gives you a specific recommended action for every single email on your list.
Behind every score
Four stages, 40+ signals, one score.
01
Behavioral Fingerprint
Cross-reference 40+ engagement signals: open timestamps, click recency, reply cadence, device diversity, and send-receive ratios to build a behavioral profile for each address.
02
Catch-All Intelligence
Probe the mail server beyond a simple RCPT TO check. Analyze domain-level patterns, historical bounce data, and known catch-all configurations to distinguish real mailboxes from black holes.
03
Pattern Analysis
Compare the address against millions of known patterns: role accounts, disposable providers, sequential generators, and common fake-address templates.
04
Score Synthesis
Aggregate all signals into a single 0-100 confidence score with a tier assignment: Safe, Review, Risky, or Do Not Send. No ambiguous 'unknown' bucket.
What your score means
No more ambiguous “unknown” buckets. Each address receives a 0–100 confidence score mapped to a clear tier with a specific recommended action.
Your team, your workflow
Email Marketers
Sales Teams
Developers
Email Marketers
Sales Teams
Developers
Scores update in real-time · Works on catch-all domains · API access included · No credit card required
200 free AI scores with every new account. No credit card. See exactly which emails are worth sending to.
AI scoring included with every plan · REST API access · No contracts