Public record intelligence
Search a name, a profile link, an email or a phone number. We assemble every public trace into one verified dossier — with a Trust Score you can audit line by line.
A recorded demonstration of a check. It reads 6 public origins, assembles a dossier of 6 sections, and stamps a Trust Score of 87 out of 100 — Clear. In the free preview 34 fields stay withheld.
What we can prove
We are new, and a background-check company that fabricates its own social proof has already told you how it treats evidence. So instead of counting customers we do not have, here is what the product itself will let you check.
Public origins a check reads
12
Every profile and every mention in a dossier is printed with the public address it was read from — the LinkedIn page, the article on the outlet’s own site — so you can open it and check us.
Scoring rules
26
Six categories: identity, presence, consistency, professional, reachability, exposure. Each rule has a name, a weight and a threshold, and the report prints the ones that fired.
Model-written conclusions
Zero
No language model reads your subject or writes any part of the dossier. Nothing in a report is generated text, so nothing in a report can be hallucinated.
Facts without a source
None
Every field carries the providers that supplied it, the confidence attached, and when it was retrieved. A fact with no attribution does not make it into the document.
Locked values sent to the browser
None
The free preview is built as a second, smaller payload that never contained the paid values. The redaction bars are the visible consequence, not the mechanism.
CCPA opt-out honoured
Step 2
The suppression list is checked before the cache and before any provider is called. An opted-out subject cannot be searched, at any price, on any plan.
§01How it works
Nothing is guessed and nothing is hidden. The same waterfall that keeps our costs down is the thing that lets us show you where every fact came from.
A name, a dating profile link, an email address or a phone number. We normalise it first, so "J. Okonkwo", "jokonkwo@" and a LinkedIn URL all resolve to the same subject.
The cache answers first when we already hold a fresh record. After that we read public origins cheapest-first — the web index, then the profiles, then the identity records — and stop the moment we have enough to answer you.
Identifiers, matched profiles, employment and education history, web mentions, and a Trust Score where every point traces back to a named rule and a named source.
§02What's inside a report
These are the real section numbers, titles and provenance footers, rendered by the same components the dossier uses. In the free preview 25 identifying fields stay struck out — the values are removed on the server, so they never reach the browser to be un-blurred.
Marcus D.
Staff Infrastructure Engineer
Austin, Texas
2022 – Present
2018 – 2022
Documented work history
+8/ 93 roles of documented employment.
Professional · matched · worth up to +9
Full name
Marcus D.
3 sources independently returned this person, so the result is not resting on one source.
The public page each fact came from, so every line can be checked.
Who the sources agree this person is.
§03Sources
Public accounts the person runs, public pages that mention them, and the identity records that tie the two together. Every fact in a dossier is printed with the public address it was read from, so you can open it and check us.
Accounts the subject runs themselves, read from the public page — no login, no scraping behind a wall, nothing a signed-out visitor could not see. The free preview tells you which of these hold something; a plan prints the addresses.
12 origin families · We publish where a fact comes from, not who we buy it from. Which suppliers sit behind the identity records is a commercial arrangement, and naming them would tell you nothing about whether the person you are checking is who they say they are.
§04Identity resolution
Before a single fact is scored, the fragments have to be proved to belong to the same person. These are the rules that decide it — and the ones that throw a candidate out. A candidate we cannot separate is left out of the file, never merged into it.
1 resolved5 ruled out0 assumed
Signals that must agree
Same name, 6 candidates
§05Trust Score explained
The score is the sum of named rules against named thresholds. Nothing is inferred by a language model, so every point can be traced, challenged and corrected.
Clear
The identity is corroborated across independent sources, the accounts are old, and nothing in the record contradicts anything else.
§06Use cases
All of them share one shape: you are about to trust a stranger with money, an address or an evening, and the only thing you have is what they told you.
Is the person in the photos the person in the messages?
Match the profile against the rest of their public footprint before you agree to meet. Name, photos, employer, city, and how long the accounts have existed.
Is this seller who they say they are?
Before you wire a deposit for a car, a rental or a piece of equipment, check whether the seller has a history that matches the story they told you.
Does the listing belong to a real person?
Confirm that the person collecting a deposit exists outside the listing. This is identity confirmation, not tenant screening — we do not report on eligibility.
What is the public record on the person asking for a signature?
See their stated history against what the public web actually shows, and where the two disagree, before you commit capital or a company name.
Where did they end up?
A relative, a former colleague, a friend from a previous city. Public traces, contact routes, and the confidence that the person you found is the person you meant.
Not permitted · Not a consumer reporting agency. Not for employment, credit, housing or insurance decisions. If you need information for one of those decisions, obtain it from a licensed consumer reporting agency.
§07Questions
Still deciding?
Run the free preview. You will see how many profiles, mentions and identifiers exist for the person before you spend anything.
Run a free checkOr write to support@peoplecheck.online. Mon-Fri 09:00-18:00 America/New_York.
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