7 providers · from $0.0445 per found · $0.000 markup

Phone number lookup API: a prospect's mobile from a LinkedIn URL or work email

Give your agent a LinkedIn profile URL, a work email or a name and company, and get a direct mobile number back where one exists. 7 providers answer through one treg.to key, from $0.0445, each at its own rate with no markup and none of them behind a seat or an annual contract. This runs one way only: person to number. It is not a reverse lookup, it will not tell you who owns a number you already have, and no provider here finds a number for everyone you ask about.

Start free See the comparison

$1.00 of free credit on every new team · no provider signup · no card

6 of 8 endpoints on this page are live-verified against the provider.

compared on this page

Try it

What’s the best way to ask ChatGPT?

1Set your agent up, once

in your agent's chat

set up treg — https://treg.to/llms.txt

2Ask for the job

the prompt

Using treg, find mobile numbers for these 25 LinkedIn URLs, show me the price per found number for each provider first, use the cheapest one, then give me a table of who was found and who was not, and do not guess a number for anyone who came back empty.

works in

Why this prompt works

Give the identifier, not the name alone

Most rows resolve from a LinkedIn URL or a work email. A bare name and company is the weakest input and the one that misses most.

Ask for the misses explicitly

A list of 25 that returns 11 numbers is the normal outcome. The 14 that missed are the information; a table that silently has 11 rows is not.

Ask for the price per found number

The rates here span more than five times per number. treg.to prints each before the call, so 25 people has a worst case before anything runs.

Never let the agent infer a number

A model asked for a phone number will happily produce a plausible one. Say out loud that an empty answer stays empty.

Why treg.to

Why go through treg.to

One key, not 9 accounts

treg.to holds the provider keys. Neither you nor the agent sees them.

Price before the call

The provider's own rate, $0.000 markup, from a prepaid balance.

No subscription, no seats

Charged per call. $1.00 free per new team, no card to start.

Your own keys are free

Already pay Hunter? Register it and those calls are never metered.

Switch by changing a word

Another provider is a different word in the prompt, not a new integration.

Nothing to integrate

No SDK, no OAuth dance per vendor, no seats.

Behind the scenes

What ChatGPT sees before it calls

treg.to does not choose for you. It hands ChatGPT this comparison, with the price shown before any call, and ChatGPT picks. Or you tell it how: "cheapest", "most reliable", "the one that takes what I have", or a provider by name.

Which phone finder is cheapest per number found?

Cheapest per found

Tomba at $0.0445

How do the phone finders compare?

Provider	Price	Accepts	Success rate	Verified
Tomba	$0.0445 per found	email, domain, linkedin	not yet measured	2026-08-20
treg	$0.0445 per found	linkedin_url, email, domain, full_name, first_name, last_name	not yet measured	unverified
Aviato	$0.08 per found	id, linkedinID, linkedinEntityId, linkedinURL, twitterID, crunchbaseID	not yet measured	2026-08-25
LeadMagic	$0.125 per found	profile_url, work_email, personal_email	not yet measured	2026-07-31
Findymail	$0.198 per found	linkedin_url	not yet measured	unverified
LeadsForge	$0.245 per found	personID, linkedinURL, firstName, lastName, companyDomain, company	not yet measured	2026-08-20
Ocean.io	no dollar rate published	personIds, webhookUrl	not yet measured	2026-08-20

Run one

the cheapest verified call

treg call tomba.people.phone.find --query email=patrick@stripe.com

Swap the id for any provider above. All 8 endpoints behind this job, with their parameters and captured responses, are on the People & contact data shelf.

How these numbers are made

PricesEach provider’s own published rate, converted to US dollars for one chargeable event of the unit they bill in. treg.to adds $0.000. Where a provider bills in credits, the conversion uses the rate on their public pricing page, last checked 2026-08-25.

Success ratetreg.to’s own served calls over the last 30 days: 2xx counts as a success, 5xx and timeouts as a failure. A 4xx is excluded, because it usually means the caller sent bad parameters and one bad query should not make a healthy endpoint look broken.

What this is notA controlled benchmark. These are real calls with real inputs, so sample sizes and the difficulty of what was asked differ by provider. Treat the rates as live reliability, not a like-for-like test.

VerifiedThe date treg.to last called the endpoint end to end and confirmed the shape of its response and the price it charged.

From the field

What people actually struggle with

This is the most heavily seeded category behind any of these pages: of the ~380 Reddit and X posts read in August 2026 roughly seven in ten were vendor marketing, including a ring of six fabricated review subreddits and one post that hid a combining grapheme joiner inside half its words. That post was the most quotable in the set, and it is not quoted here. These five are practitioners.

Better data does not make somebody answer

“Post Covid, office lines don't even seem to exist now and connect rates on cell phones are abysmal.” r/sales, 102 points

What this page can do about it: So this page will not claim to fix connect rates. What a row here can raise is the share of your dials that reach a current mobile at all. Whether anyone picks up is carrier screening and human behaviour, and no provider sells that.

Paying for the data is not the same as the data being right

“The mistake is assuming that paying for contact data means every record will be correct.” r/RecruitmentAgencies

What this page can do about it: Agreed, and the shape of this page follows from it. Per call pricing means testing three providers on your own rows costs less than one seat's first day, which beats trusting anyone's accuracy claim, this page's included.

It is hard to tell what is good from what is hype

“I've looked at tools like Apollo, ZoomInfo, Lusha, Seamless, Cognism, etc., but it's hard to tell what's good vs hype.” r/salestechniques, 8 points

What this page can do about it: It is hard because most of what you find when you search is seeded, which the research behind this page ran into head first. The answer this page offers is not another review: it is the raw result on your own list, for cents, from several providers at once.

Coverage is a function of where your buyers are

“We tested a few vendors and the data quality changes a lot depending on region. Some are strong in US but weak in Europe.” r/AppBusiness

What this page can do about it: No comparison table can tell you which of these is strong in your market, and this one does not try. It puts the rates and the billing units side by side so the experiment that would tell you is cheap enough to actually run.

The ask is plain and nobody answers it plainly

“Basically looking for a reliable provider for cold calling that gives accurate direct dials without breaking the bank.” r/sales_intelligence

What this page can do about it: The honest version: here are six, here is what each charges per number found, here is which one gives you a free miss today, and here is how to test them on twenty of your own rows before you commit to any of them.

The detail

What actually differs

The prices are per number found, and they span the page.

Tomba is the cheapest per found number, Aviato next, then LeadMagic, Findymail and LeadsForge, which is more than five times the cheapest; LeadsForge also has a bulk row at the same rate per row. Ocean.io meters in credits and publishes no dollar rate, so the page prints none. All of it is the provider's own rate with $0.000 added, from a prepaid balance with no minimum.

Read the miss rule carefully, because it is where the money goes.

The rate cards say a miss is free, and one row on this page proves it through treg.to: LeadMagic reports its own charge back on every call, so a miss settles at zero. The others do not report a charge, so the call settles at the catalog rate whether or not a number came back. Until that changes, budget the printed rate times every attempt, not times the numbers you keep.

Nobody publishes an honest hit rate, including this page.

What the practitioners in the forum say instead is that coverage swings by geography and vertical, that a provider strong on US technology can be thin on European professional services, and that a number being current is not the same as somebody answering it. The cheap experiment is the only real answer: run the same twenty rows through three providers for a couple of dollars and count. treg.to shows the rates side by side; the agent picks, and treg.to never routes or fails over between them.

Background

What is a phone number lookup API?

In business-to-business terms it is a call that takes a person, usually as a LinkedIn profile URL or a work email, and returns a direct mobile number for them if the provider has one. The direction matters: this is person to number. The consumer product that goes the other way, number to person, is a different thing entirely and is not on this page. Every provider here is assembling the same kind of data from the same kinds of sources, which is why the useful question is not who has the best database in the abstract but who fills your list, in your countries, this month.

Questions

Before you start

Can I find out who owns a phone number I already have?

No. Every row here runs person to number: you give a profile URL, an email or a name and company, and get a mobile back. Reverse lookup is a consumer product and a different job, and the catalog does not carry it.

What hit rate should I expect?

Nobody on this page will give you a number, and any published match rate you find elsewhere was written by whoever is selling. Expect a minority of a cold list to resolve, expect it to be worse outside the US, and measure it on your own rows: twenty people through three providers costs a couple of dollars.

Do I pay for a miss?

By the providers' rate cards, no. Through treg.to today, only LeadMagic settles a miss at zero, because it is the one row that reports its own charge back on the call. On the others the call settles at the catalog rate, so budget per attempt.

Is a found number safe to call?

That is your call to make, not the data's. These rows return a number and nothing about consent: do not call screening, no suppression list and no country by country guidance. Whatever your obligations are under the rules that apply to you, they stay yours.