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Saniya Sood
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Published September 30, 2026 · Updated October 6, 2026
Published as part of a content exchange with Derrick. Valley chose the topic, and reviewed and edited every line.
The answer up front: an email finder discovers an address you do not have. Email verification confirms that an address you already have will accept mail. Finders are priced per address found, verifiers per address checked, and in most tools the two sit about five to one against each other. You need a finder when your list is names and companies, a verifier when your list is addresses of unknown age, and both when you are building a list from scratch and sending from your own domain, where every bounce is charged to your reputation.
Disclosure: Valley (this site) makes an outbound platform that covers some of what this guide describes. Nothing below depends on buying it.
How we know this: we run outbound for 1,000+ LinkedIn accounts and have sent 30M+ messages. Vendor facts are dated September 2026 and drawn from their published pages.
Valley is an AI outbound platform that finds the people most likely to buy from you - from live buying signals, natural-language search, or your own lists - qualifies them against your ICP, researches each one, and sends personalized messages across email and LinkedIn that get 15-45% reply rates, against a category average of about 2%.
Email finder | Email verification | |
|---|---|---|
What it does | Turns a name plus company, domain or LinkedIn URL into a professional email address | Checks whether an existing address exists and accepts mail |
What you pay for | Each address found | Each address checked |
Typical price ratio | About 5 credits per result | About 1 credit per result |
When it fails | No public pattern or record for that person | Catch-all domains, stale mailboxes, blocked checks |
Use it when | The list is people, not addresses | The list is addresses older than a few weeks |
What an email finder actually does
A finder takes what you know about a person, usually a name and a company domain or a LinkedIn profile URL, and returns the address most likely to reach them. Under the hood it combines known address patterns for that domain, records from data partners, and a live mailbox check before it hands the result back. The output is a guess with a confidence attached, which is why the good tools only charge when they return one.
The finder is the right tool when your source is a spreadsheet of names or a Sales Navigator export. It is the wrong tool for a list you bought two years ago: those rows already have addresses, and running them through a finder pays to rediscover what you own.
What email verification actually does
Verification starts from an address and asks one question: will this mailbox accept a message today? It checks the domain's mail records, confirms the mailbox exists, and flags the cases that trip senders up, such as catch-all domains that accept everything and role addresses like info@ that nobody owns. It does not find anything new. It protects the sender from bounces.
That protection matters more than it used to. Google and Yahoo's bulk-sender rules enforce authentication and a spam-complaint threshold of about 0.3%, and a run of bounces to dead addresses is the fastest way to make a domain look like a spammer. Verify before the first send from any list you did not build this month.
What each one costs, per result
Take Derrick as a worked example, because it publishes both numbers. It is a data layer rather than a sending tool: point it at a column of names, domains or LinkedIn URLs and it returns verified professional emails, phone numbers, company firmographics, tech stack and hiring signals. The same coverage runs on three surfaces that share one credit balance: a Google Sheets sidebar, an MCP server for Claude, ChatGPT and any MCP-compatible client, and a REST API for wiring it into a CRM or an automated workflow.
Its Email Finder costs 5 credits per email found and Email Verification 1 credit per email checked. Both are billed only when a result comes back, so a failed lookup costs nothing. Every account gets 100 credits a month for free without a card on file, but the free plan does not include the finder; that needs a paid plan, which starts at 9 EUR a month with unused credits rolling over. Those two details, billing per result and finder access on paid plans only, are the ones buyers most often get wrong about email enrichment tools in this class, and they change the maths on a large list.
The arithmetic for a 1,000-row list of names: at a 60% find rate you pay for 600 results, 3,000 credits, and nothing for the 400 misses. Verifying 1,000 existing addresses costs 1,000 credits. If you run both, the finder is the cost and the verifier is the insurance.
When you need both
Building from names: finder first, then verify the results before the first send. Good finders already verify what they return, but a second check a week later catches mailboxes that changed in between.
Reviving an old list: verify only. The addresses exist; the question is which still work. Send the finder after the failures if the people still matter.
Mixed lists, the usual case: split by whether the row has an address. Rows with one go to verification, rows without go to the finder, and the merged output is your send list. One credit pool across both steps makes that split cheap to run in a sheet.
Where the data step sits in a Valley workflow
Valley includes the data step inside the outbound motion. On the Plus and Growth plans, email waterfall enrichment runs across 15+ data providers before a message is written, and finding and verifying addresses draw on the same credit pool as prospect discovery, while research, base message writing, imports and LinkedIn sending are included in the subscription. Email sends are capped at roughly 30 a day per seat from your own inbox, by design, so the list feeding it has to be clean rather than large.
If your team already runs a sequencer and only lacks contact data, a standalone finder and verifier in a sheet is the cheaper fix. If the sequencer is the problem too, the full loop is worth a look.
► See the loop end to end: signals in, verified contacts attached, replies out. Free for 7 days.
Is a found email already verified?
Usually yes at the moment it is found, since most finders run a mailbox check before returning a result. It is not verified forever. People change jobs and domains change mail rules, so re-verify anything older than a few weeks before sending.
Why do verified emails still bounce?
Catch-all domains accept every address at check time and reject some later. Mailboxes get disabled between the check and the send. Some mail servers block verification probes entirely, which forces the tool to guess. A small bounce rate survives verification; a large one means the check was skipped.
How many credits does a 1,000-row list need?
With per-result billing at 5 credits a find and 1 credit a check: finding addresses for 1,000 names at a 60% hit rate costs 3,000 credits, and verifying 1,000 existing addresses costs 1,000. A list that needs both lands between those numbers depending on how many rows already carry an address.
Should I verify once or before every send?
Once per list, then again before any send that is more than a month after the last check. Verification is cheap next to the deliverability cost of a bounce run, and it is the step most teams skip right before their domain reputation drops.
See also: Cold Email vs LinkedIn Outreach in 2026: Why the Real Answer Became Both · What Is an AI SDR? Definition, Real Costs & When to Use One (2026) · Valley vs. lemlist: research, channels and the work behind each sequence
