Security and privacy decision
BillionVerify
A competent developer can build a useful self-hosted verifier (single & bulk checks) using existing libraries in a few weeks, but reproducing BillionVerify's claimed accuracy, reputation/spam-trap datasets, enterprise integrations, and white-label/scale experience would be difficult and time-consuming.
Visit website↗$20/mo
$240/yr
Read off the official pricing page.
$100one-off60 h to build
$80/mo6 h/mo upkeep
On cash alone, building overtakes the subscription at 5 seats.
Open-source builds that already do this
Every project below is open source and already does this job today. Fork one, self-host it, or take the parts you need - the build prompt further down assumes an empty file, and this is the shortcut past that. Licences differ; check the one on each card before you ship. All BillionVerify alternatives, with the arithmetic →
What a replacement has to do
- Accept email(s) → run syntax/domain/MX/SMTP/reputation checks → return status/score → store/export results / provide API and bulk jobs.
What it still won’t have
- Large proprietary reputation and spam-trap datasets used to boost accuracy
- Pre-built integrations catalogue (25+ platform integrations)
- White-label portal and enterprise billing/invoicing workflows
- Customer support, SLA, and large-scale operational experience verifying millions monthly
- Any proprietary AI agent integrations or internal tuning documented on the site
What remains hard
- Brand trust
Trusted by 10,000+ businesses worldwide.
- Execution quality
The only email verifier with native AI agent integration
First-year cost
Keep paying
Paying is—cheaper in year one.
On cash alone, building overtakes the subscription at 5 seats.
Money you would actually spend
Time you would spend
—
What you would spend
What we assumed
The verdict above measures whether you could build it. This one is only about money.
Runnable build prompt
Build a minimal self-hosted email-verification service using Node.js (Express) + Postgres + BullMQ for background jobs, DNS and SMTP checks implemented via node libraries (dns, smtp-connection) or by integrating the AfterShip/email-verifier Go binary behind an HTTP wrapper. Core features: (1) single-email REST API returning JSON status and score, (2) CSV upload UI that enqueues jobs, (3) background worker pipeline performing syntax/domain/MX checks, disposable/role detection, and SMTP verification, (4) results storage and CSV export, (5) basic auth-protected web UI and API key access, (6) tests for API and worker error paths and graceful retry/backoff. Out of scope: building a large proprietary reputation/spam-trap dataset, multi-tenant white-label UI, and prebuilt third-party integrations. Require error handling, logging, and unit+integration tests; include Dockerfiles and a deploy guide for a single VPS plus managed Postgres.
How we checked
How the score was reached
- Partly verdict base52
- An open-source build was found+5
- 4 cited sources+3
- Price verified on pricing page+3
- 3/3 assessment runs agreed+4
- Evidence score67
The base comes from the verdict. Everything under it is a check that either happened or did not, and each one is a fact frozen in this record rather than a judgement made at render time - so the same evidence always produces the same number.
How scoring works →Cited sources · 4
Every page the run actually retrieved.
- official productBillionVerify — official product
- official pricingBillionVerify — pricing
- official docsBillionVerify — docs
- open sourcereacherhq/check-if-email-exists
Integrity checks
What held up, and what did not.
