Comparison Email Intel vs BounceBan
Email Intel vs BounceBan
Same no-send principle, different transparency posture: BounceBan's algorithms are proprietary, our signals are itemised in the response.
A real-time catch-all verifier using proprietary algorithms, explicitly without sending test emails.
Where the two approaches actually differ
| Dimension | Email Intel | BounceBan |
|---|---|---|
| Method | Public signals only, no test emails. | Proprietary algorithms and "all without sending an email," per BounceBan's homepage (checked 2026-09-10). |
| Explainability | Optional per-signal breakdown (name, value, weight, contribution) in the API response. | Proprietary — the deciding signals are not itemised on the public homepage. |
| Published resolution rate | Not currently published — see the note below on why. | Claims it "can reliably verify the true deliverability for 85～95% of emails that are catch-all, greylisted, or protected by SEGs," per the BounceBan homepage. |
| Handling of genuine uncertainty | Returns an explicit 'unknown' with confidence rather than forcing a binary verdict. | Not publicly documented on the homepage checked 2026-09-10. |
We are not the right answer for everyone.
BounceBan publishes a catch-all resolution rate of 85–95%. We deliberately do not publish a comparable figure right now, because ours is being re-measured against observed delivery outcomes. If a published resolution rate is what you are buying on, they have one and we do not.
Where we fit instead: Teams who want to see why an address was judged the way it was, and who would rather have an explicit 'unknown' than a confident guess.
Why there is no accuracy number on this page.
We do not publish a head-to-head accuracy comparison. Our historical benchmark was withdrawn from marketing use because its labels were third-party probabilistic labels rather than observed delivery outcomes. A replacement measured on real customer bounce outcomes is in progress. Until it reports, we compare on method — which you can verify today — and not on accuracy.
If you are evaluating vendors, the useful question is not whose number is bigger — it is whose number you can reproduce. Ask any vendor, us included, what the ground truth was, who labelled it, and whether the labels came from observed delivery outcomes or from another tool's guess.
Where these facts come from
Checked 2026-09-10. No-send claim and 85～95% catch-all / greylist / SEG resolution claim.
Spotted something out of date or misrepresented — including if you work at BounceBan? Tell us and we will correct it.
What this page does and does not claim
We do not publish a head-to-head accuracy comparison. Our historical benchmark was withdrawn from marketing use because its labels were third-party probabilistic labels rather than observed delivery outcomes. A replacement measured on real customer bounce outcomes is in progress. Until it reports, we compare on method — which you can verify today — and not on accuracy.
Competitor facts were last checked against public sources on 2026-09-10. BounceBan homepage (https://bounceban.com/): Checked 2026-09-10. No-send claim and 85～95% catch-all / greylist / SEG resolution claim.
Teams who want to see why an address was judged the way it was, and who would rather have an explicit 'unknown' than a confident guess.
Bring us your catch-all segment.
Send the addresses your current tool marks “risky” or “accept-all” and see what evidence exists for them. No test messages are sent, to anyone.
Review my catch-alls ↗