♪ I · Find

LinkedIn URL Finder. 0.08% false positives.

A name and a company go in. The right profile URL comes out, confirmed on its own page, or nothing comes out at all.

0.08% false positives · 97.4% delivered above threshold

mozartemail.com / linkedin-findlive demo: click to take over

1 · Fill in → 2 · Run it

0.08% false positives on a thousands-profile ground truth

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The problem

The wrong namesake costs more than a miss.

Elsewhere

Forty people share your prospect's name. A fuzzy match picks one, your sequence greets the wrong person, and the real prospect never hears from you. No confidence score repairs that.

At Mozart

Mozart confirms the candidate on the profile page itself before answering. Below its anti-homonym threshold it returns nothing, and nothing is billed.

The mechanism

How the right profile is confirmed.

1

Search

Name plus company produce candidate profiles. Job title and location sharpen the match when you have them.

2

Confirmation

The profile page itself has to give back the name you searched. A directory agreeing is not proof; the page is.

3

The frozen threshold

Calibrated on a thousands-profile ground truth, then frozen: 0.08% false positives. Above it, the URL, 1.5 credits. Below it, silence, 0 credits.

Side by side

A match against a confirmation.

ElsewhereAt Mozart
A fuzzy match on the nameconfirmed on the profile page itself
Homonyms shipped with a score attachedvery few errors on a thousands-profile ground truth
A confidence number you can't audita threshold frozen since the benchmark
Billed whatever comes backbelow threshold = 0 credits
Measured, not promised

0.08%

false positives

Very few errors on a thousands-profile ground truth, and the threshold hasn't moved since. 97.4% of lookups deliver above it.

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Single · bulk · API

By hand, by file, by code.

Single

A name and a company in the widget above; the engine confirms on the live page, not against a cache.

Bulk

5 000 rows per file, columns untouched. Hard cases take their time: precision holds the line, not the clock.

API

POST /api/linkedin-finder accepts jobTitle and location to sharpen the match. Budget up to 120 seconds for hard cases.

POST /api/linkedin-finder
{"firstName": "claude", "lastName": "debussy", "company": "Conservatoire de Paris"}
200 OK
{
"ok": true, "billable": true, "charged": 1.5,
"linkedin_url": "https://www.linkedin.com/in/claude-debussy",
"confidence": 0.85, "verified": true,
"full_name": "Claude Debussy"
}

Explore the API →

Where it fits

Because the wrong person is expensive.

SDR teamsAttach the right profile to every lead before a connection request goes out.
AgenciesDeliver client files whose LinkedIn column survives spot-checks.
RevOpsKey CRM contacts to profile URLs instead of name strings that collide.

Compose with

LinkedIn URL finder → LinkedIn profile scraper → Email finder

Find the right profile, read it in full, then find the address.

Questions, answered whole

Homonyms, thresholds, misses.

How do you avoid homonyms?−

The profile page itself has to corroborate the person you asked for. Confidence only reaches 0.8 when the page gave back the searched name. That check is what took false positives to 0.08% on a thousands-profile ground truth.

What if the person isn't on LinkedIn?+

You get nothing and pay nothing. Misses name their cause in the response: nothing indexed for that name, or candidates found but none confirmable as your person.

What does 'frozen threshold' mean?+

The delivery bar was calibrated once against a thousands-profile ground truth and hasn't moved since. Precision here is a setting we froze, not a dial that drifts with load.

What am I billed?+

1.5 credits per profile delivered above the threshold. Everything below it, and every miss, costs 0.

0.08% false positives.
Below threshold costs 0.

The right profile, or silence.

Start free with 50 verified credits

No credit card required · 50 free credits