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Find out where your data is exposed. Then take it down.

Dossier finds you on people-search sites, shows what each listing reveals and which company is the likely source, then drafts the opt-out.

Start a scanWatch the 35-second demo

Every request Dossier sends is logged, with its exact contents.

people-finder.example

Jane Example, 34

Springfield, IL

High risk
  • Home address
  • Phone
  • Relatives
  • Age
Public since
Mar 14, 2021 Wayback Machine
Likely source
ExampleShop Likely

An ExampleShop breach disclosed in February 2021 included name, address and phone, a month before this listing went public.

Draft opt-outSample listings, fictional person

5 requests sent

Searches got your name and city only.

Exa
Finds listings that match you
Tavily
Searches and reads broker pages
Wayback Machine
Dates when a listing went public
Google AI
Reads each page and privacy policy

See Dossier in 35 seconds

Find it, trace it, take it down: from a listing with your name on it to an opt-out sent from your laptop.

A people-search listing types out a name, home address and phone number, and the same person turns up on site after site. Where did they get it? Dossier: Find it, by scanning people-search sites for your name and city. Trace it, by ranking the likely source with the evidence behind it: a breach notice, a privacy policy and an email alias all point to one sample company. Take it down, by drafting opt-out requests and re-scanning until the listings are removed. Every request is logged, including what the AI reads, and searches use your name and city only.

From your name to a sent opt-out

Seven steps. Each one shows you the evidence it found.

Find it

  1. 1

    Find your listings

    Exa and Tavily search people-search sites for your name and city. An AI model lists what each page shows about you.

  2. 2

    Date each one

    The earliest Wayback Machine snapshot shows when a listing went public. With no snapshot, the date says unknown.

Trace it

  1. 3

    Check breaches

    For the accounts you pick, news reports and state attorney general notices show when each company was breached and what was taken.

  2. 4

    Read the fine print

    An AI model reads each company's privacy policy and flags clauses that allow selling or sharing your data.

  3. 5

    Rank likely sources

    Every lead gets an evidence tier, Proven, Likely or Possible, with the evidence right next to it.

Remove it

  1. 6

    Send opt-outs

    Dossier finds each site's opt-out page and drafts the request. A re-scan later confirms the listing came down.

  2. 7

    Use email aliases

    Give each company its own alias. When someone else writes to that alias, you know whose copy got out.

Here's everything Dossier sent

You shouldn't have to hand your data to another company to get it removed. Dossier sends search services your name and city, nothing else, and shows you the receipt.

  • Phone numbers, emails, birthdates and SSNs are blocked before a search is sent.
  • Pages and privacy policies are read by Google's AI, and the log shows exactly what it was sent.
  • Your saved scans belong to your account. Nobody else can see them.
Outbound log5 sent
  1. TavilyPOST api.tavily.com/search200 412 ms{"query": "Jane Example Springfield IL"}
  2. ExaPOST api.exa.ai/search200 655 ms{"query": "Jane Example Springfield IL", "numResults": 10}
  3. TavilyPOST api.tavily.com/extract200 1.2 s{"urls": ["https://people-finder.example/jane-example"]}
  4. WaybackGET web.archive.org/cdx/search/cdx200 380 ms?url=people-finder.example/jane-example&limit=1
  5. Google AIPOST generativelanguage.googleapis.com/…:generateContent200 2.3 sPage text and prompt, read by Google's AI.

A likely source, with the evidence attached

Dossier doesn't guess who's to blame. Each lead says how strong its evidence is and links to it.

Proven
An email alias you gave to one company got mail from someone else.
Likely
A breach at the company lines up with your listing, in timing and in the data it exposed.
Possible
The company's privacy policy lets it sell or share your data.

Sometimes it wasn't a hack

“We may sell or share your personal information with marketing partners, including data brokers.”
Flagged in the privacy policy of ExampleShop, a sample company. A policy that allows selling makes it a Possible source.

Take your data back.

Create an account to run your first scan.

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