19 tools do this job
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. 19 tools answer through 鹦鹉AI, from 0 credits/success, each at its own rate, 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 tool here finds a number for everyone you ask about.
Billed per call, for what you use. No card required.
16 of the 19 tools that answer this job are live-verified against their upstream.
Try it
What is the best way to ask 鹦鹉AI?
1 · Set your agent up, once
in your agent's chat
set up 鹦鹉AI — https://parrot.amorist.cn/llms.txt
2 · Then ask for the job
the prompt
Using 鹦鹉AI, find mobile numbers for these 25 LinkedIn URLs, show me the price per found number for each tool 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.
Why this prompt works
Give the identifier, not the name alone
Most tools 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. 鹦鹉AI 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 鹦鹉AI
Why go through 鹦鹉AI
No subscription, no seats
Charged per call. No card, no minimum; top up the prepaid balance.
Switch by changing a word
Another tool is a different word in the prompt, not a new integration.
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 promotional 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 tool 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 tool 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 tools on your own rows is cheap, 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 a few credits, from several tools 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 one can tell you which of these is strong in your market, and this page does not try. The prices are low enough that 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 tool 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: six tools, each with its own rate, and here is how to test them on twenty of your own records before you commit to any of them.
The detail
What actually differs
The prices are per number found, at each tool's own rate, from a prepaid balance with no minimum.
Ocean.io publishes no per-number rate.
Read the miss rule carefully, because it is where the money goes.
One tool here proves the rule through 鹦鹉AI: 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 tool 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 records through three tools for a couple hundred credits and count. 鹦鹉AI gives the rates; the agent picks, and 鹦鹉AI 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 tool 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 tool 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 tool 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 tools costs a couple hundred credits.
Do I pay for a miss?
In practice, no. Through 鹦鹉AI today, only LeadMagic settles a miss at zero, because it is the one tool 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 tools 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.
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