How Much Is Seamless.AI? 50 Free Credits, No Paid Rate

The pricing page contains a sentence about prices that are not on it.

It says the prices shown reflect an annual discount. No prices are shown. Pro says Contact sales, Enterprise says Contact sales, and the free plan gives one user fifty credits, which is the complete published pricing of a company whose product is finding other people's contact details.

This site read that page on 5 August 2026 and re-checked it on 11 August. Both times, no figure.

So the useful page is not a price breakdown. It is an account of what one credit is worth, what the free plan buys against every other free plan in the category, and what the one public number would mean if it turned out to be true.

What does Seamless.AI cost?

Nothing is published, on any paid tier, in any currency, for any period.

The entity record on this site holds entryMonthly: null, perSeat: null and pricingModel: "custom", verified 11 August 2026. It also holds a combination that is worth reading twice.

Free to start and impossible to buy. Those two flags together describe an unusual product: a genuinely useful free sample attached to a purchase path that begins with a calendar invitation.

One credit buys a phone number and an email

This is the most generous credit definition in the category and it is not close.

The vendor's FAQ states it plainly: a credit is consumed when the product researches a contact to find their emails, phone numbers and insights. One credit, both fields, the same contact. Compare that to Lusha, which charges one credit for an email and five for a phone number, and one credit here is worth six there on definitions alone.

A generous definition is only half a price, though. Three vendors in that table charge one credit for both fields and two of them publish what a credit costs. The third does not, which turns the best unit definition in the category into an argument you cannot finish.

The free plan is the largest free sample in this repo

Fifty credits, one user, no card. On the vendor's own credit definition that is fifty contacts with an email and a phone number each.

Now put every free allowance this repo holds on the same unit, which nobody else does, because most comparison pages count credits rather than what a credit buys.

Fifty complete contacts is five times BookYourData's ten and ten times UpLead's five. Lusha's forty renewing credits buy eight phone numbers, or six contacts with both fields, because the phone costs five and the email costs one [computed on the credit table read 2026-08-12].

Which makes the free plan here worth taking seriously as an evaluation instrument rather than as a lead magnet. Fifty records is a quarter of the 200-record sample this site recommends, and it is the only free tier in the category that delivers both fields on every one of them.

One thing this repo does not record: whether that fifty renews. Prospeo's and Hunter's and Lusha's do, monthly, and this site has verified those. Seamless.AI's free plan is recorded as a plan rather than as a recurring allowance, and nobody here has held an account long enough to find out.

The only public price is a competitor's, and it is unverified

Divided out, $147 across 250 credits is $0.588 a credit [computed]. This site's review rounds it to 59 cents, which is the same figure.

One credit is a complete contact here, so $0.588 is directly comparable to the cost-per-complete-contact column this site computed for nine vendors across their own published rates. Ranked against it, the unverified figure lands eighth of ten.

If that figure were real, Seamless.AI would be dearer per complete contact than every vendor in this directory that publishes a price except two, and 14.3 times Lead411's $0.041 [computed]. It would also be dearer than the most expensive UpLead record and the most expensive Lusha pair, both of which you can read on a page and buy on a card this afternoon.

It might not be real. That is the point of the section, and the practical consequence is a single sentence to say in your first call: our benchmark for a contact with a verified email and a mobile is four cents at the cheapest published vendor and about forty at the mid-range, so what is your rate per credit at the volume we would buy?

This site's own Lusha figures moved, and the review still carries the old ones

It changes the Seamless.AI comparison in one direction only. On the corrected basis, one Seamless.AI credit is worth six Lusha credits and those six cost less than the review said they did, so the definitional advantage is real and slightly smaller than previously printed here.

What the architecture actually is

A search engine rather than a static database.

Instead of querying a warehouse somebody refreshed last quarter, it goes and looks when you ask, building lists as you browse through a Chrome extension alongside the web app. That has one real advantage and one real cost and they are the same fact: looking things up at request time means the record is as current as the sources were this morning, and it also means results vary between searches in a way a fixed database does not. Variance is harder to plan a territory around than a known gap.

So the evaluation is not a feature comparison. It is a sample test, and the free plan is sized for exactly that.

The question Google attaches to this product

The seven that publish nothing, and the seventeen that do

An unpriced product is easier to judge next to its category than on its own. Here is the whole data-research shelf in this directory sorted by whether a buyer can find out what it costs without talking to somebody.

Seventeen of the twenty-four carry an entry price in the record and seven do not, and two of those seven publish something the monthly field cannot hold rather than nothing at all: BookYourData sells credits outright at $99 for 250, and Dropcontact prices in euros. That leaves five genuinely opaque vendors, and Seamless.AI is one of them alongside ZoomInfo, Cognism, Persana AI and Ocean.io.

One column separates Seamless.AI from the other four. It runs a free tier and they do not, which means it is the only vendor in this directory that will let you measure its data before it will tell you its price. That is an odd combination and it is worth using in that order: the data question is answerable for nothing and the price question is not answerable at all until somebody quotes you. Across the whole 264-tool directory, 114 publish no rate and 108 need a call, so opacity here is normal rather than remarkable; the free sample is the unusual part.

Among the four questions listed under the pricing query is how to cancel a subscription.

That is an unusual thing to find attached to a pricing search rather than a support one. The pricing page has nothing to say about it: no contract length, no renewal terms, no cancellation process, no refund policy. Two absences facing each other, the buyer's most common question and the vendor's silence on it.

Ask about both in the first call and get the answers written into the contract rather than into an email.

The five questions the page leaves you to ask

• What does one credit cost at the volume we would buy, and what does the next thousand cost? A package figure you cannot decompose is a figure you cannot compare or renegotiate.
• What is the contract length, and what is the renewal notice period? Neither appears anywhere on the page.
• How is a cancellation made, and by when before renewal? This is the question the public search results are about.
• What happens to unused credits at the end of the term? That answer decided the Lusha comparison and is unanswered here.
• What is the remedy if a sample fails our accuracy threshold? Put a number in the contract so a data problem has a remedy rather than a support ticket.

They are cheap to ask together and expensive to discover separately. A vendor that answers all five plainly is a vendor worth buying from, whatever the page does or does not say.

Who should buy it

Small teams who need phone numbers and emails and nothing else the enterprise platforms bundle, where a sample test on known contacts comes back accurate enough, and where you can get a per-credit rate and the renewal terms in writing before signing.

Freshness has to matter to you more than predictability, because that is the trade the architecture makes.

Who should not

What the contract does in month three

With no published price and no published term, the month-three risks on this product are contractual rather than arithmetical, and they are the ones a free sample cannot surface.

The renewal terms you never read are the whole exposure. The pricing page says nothing about contract length, renewal or cancellation, so whatever the order form says is the only record there is. The comparable case in this directory is ZoomInfo, whose auto-renewal terms have generated more complaints than any other vendor on this site and whose exit mechanics are written up in the piece on getting out of a ZoomInfo contract. Read the notice clause before signing rather than eleven months later, because it is the same shape of problem.

The credits you did not spend may not survive the term. Nothing published states what happens to an unused balance at renewal, and the category answers this every possible way: Lusha wipes annual credits at cycle end, UpLead's do not roll into a renewal, BookYourData's never expire, and NeverBounce expires pay-as-you-go credits after twelve months. Get the answer in the contract; it moves the effective price more than a discount will.

And coverage decays for reasons your vendor does not control. B2B contact data goes stale at a rate usually quoted between 2.1 and 3 percent a month, with conflicting versions and no traceable primary study behind any of them. On top of that, California's DROP platform went live on 2026-01-01 and lets one request delete a person from every registered data broker at once, permanently and with no refund. Whatever hit rate the fifty free credits show you in week one is the best it gets, so budget re-verification rather than treating the list as an asset.

Anyone who needs to compare prices before entering a sales process, which is most people reading a page with the word pricing in the title.

Anyone selling into Europe, where Cognism is built for the job, though it publishes no price either. Anyone who wants a published meter they can model, which Lusha provides and this does not. And anyone who cannot get the cancellation terms answered before the contract is signed, given what the public questions about this product are.

So what should you actually do?

Take the fifty free credits and spend every one of them on contacts whose email and mobile you already hold.

That is fifty complete contacts, the largest free sample in this category on that unit, and it answers the only question you can answer for nothing: does the data work on your segment. Do it before the sales conversation rather than during it, because the process here is recorded as persistent and a trial that starts after a signature is not a trial.

Then go into the call with two numbers. Your hit rate on the fifty, and the four-cents-to-forty-cents range that the published vendors in this category actually charge for the same unit. A vendor that will not price against a benchmark you can name has told you something.

What this page does not know