The Bulk Email Finder That Verifies Every Row.

You upload a CSV with a column of names and a column of companies or domains. Verifox works the rows in parallel: per row it derives the address formats that company is known to use, weighs the candidates against public sources, and selects the best-fitting one rather than guessing blind.

Before any address lands in your results file it must clear our nine-check verification engine, so the whole list comes back confirmed and sendable, not just found.

A clean CSV that mirrors your upload, with extra columns added per row: the found work email, the matched pattern, the verification verdict, and a 0 to 100 confidence score. Rows where no deliverable address could be confirmed are marked clearly rather than padded with a guess.

Because every address is verified before it reaches you, you can threshold on the confidence column and push only the rows that clear your bar straight into your sequencer. If your list already contains addresses and only needs cleaning, the free email checker applies the identical engine.

Verified, row by row, before the results file is even generated. A pattern that looks right is not the same as a mailbox that exists, so each found address gets a domain and MX lookup, a live SMTP mailbox ping, disposable and role-address screening, and AI-confidence scoring on the catch-all domains that swallow most bulk lists. The full methodology is documented on the email verification service page.

The practical payoff shows up in the download. Rows that could not be confirmed are flagged rather than padded with a plausible-looking guess, which means the bounce risk of your file is known before you import it, not discovered by your sender reputation a week later.

Lists run in parallel rather than one row at a time, so a few thousand rows finish in minutes, not hours. There is no hard ceiling on the CSV size for the bulk email finder; very large jobs simply queue and stream results back as they complete.

Live throughput, uptime, and incident history are published at status.verifox.ai. For recurring or scheduled enrichment, most teams drive the same engine from the REST API instead of re-uploading a file each time.

Free to start, and the signup grant is sized for a real first list. Create a free account, no card required, and you get 1,000 free credits, or 2,500 if you register with a work address. At ten credits per resolved row, that is a hundred contacts found and verified before you have paid anything.

Past the grant, you buy credits as you need them and they never expire, so a team that enriches one list a quarter is not funding a subscription it barely uses. A bulk job only spends credits on rows it actually resolves, and the pricing page shows volume tiers in your local currency.

Two are enough: a full name and a company or domain. A raw domain like acme.com is the strongest company input because it leaves no doubt about which business each row means, and it is what the AI email finder model keys on when it ranks candidate patterns. Verifox auto-detects your headers, so you do not have to rename anything before you upload.

Already working from a list of company domains rather than people? The domain email extractor pulls the public addresses for a set of domains, which pairs well with the bulk email finder for full-list coverage.

Yes, and bulk is where it earns its keep. Pattern ranking is learned per domain, not per row: once the model has worked out how one company formats its addresses, every other contact from that company in your file inherits the learned format. Confidence compounds as the list grows instead of resetting on each lookup, which is why a 50-row slice of one account often resolves faster than 50 scattered singles.

AI also makes the call on catch-all domains, the ones a rules-only finder marks “unknown” and quietly scatters through a big file. Every AI-assisted pick is still confirmed by a real SMTP-level verification check before it is written to your results.

Yes, and most recurring bulk jobs end up there. The batch endpoints in the REST API reference accept the same name-plus-domain rows your CSV would carry, so a CRM workflow, a data pipeline, or a nightly cron can submit a list and collect the verified results without a file ever existing. CRM and workflow tools like HubSpot, Salesforce, Zapier, and Clay plug in this way.

AI agents get a shorter path: the native MCP server exposes the find-and-verify tools directly, so Claude, Cursor, or a custom LLM app can loop over a list of contacts with zero glue code beyond an MCP URL in its config.

The workflow gap. With Hunter, Apollo, RocketReach, or any rocket email search style tool, the bulk find and the verification are separate steps or separate products, so the file you export still has to pass through a list cleaner before your sequencer will accept it. Verifox collapses those steps: verification runs inside the bulk job, so the download is already the clean list.

The billing model differs too. Subscription bulk credits typically lapse at the end of the cycle whether you ran a list that month or not, while Verifox credits never expire, with region-localized volume tiers on the pricing page. And the native MCP server lets AI agents drive the same bulk pipeline, which none of the three offer.

The legal basis is the same one that covers single-contact B2B prospecting: GDPR’s legitimate interest permits processing work emails for business outreach, as long as opt-outs are honoured and CAN-SPAM is followed. What bulk adds is a data-processing question, namely what happens to the file you upload, and that is where the guarantees matter: Verifox holds SOC 2 Type II certification and complies with both GDPR and CCPA.

Your CSV is processed in memory to generate and verify the addresses; the rows are never stored, logged, or sold, and the results file belongs to you alone. The privacy policy spells out the handling end to end.