Press & media

Press kit

Boilerplate you can quote, the company facts, the logo files, and an open dataset of what our own engine actually returns. One person reads this inbox, and answers it: hi@dormetrics.com.

Boilerplate

Copy this paragraph as-is. It is the version we stand behind.

Dormetrics is a free rental-listing risk check for the Netherlands, aimed at international students and expats — the group that loses the most money to rental fraud during the July–September intake peak. A renter pastes a listing link, a chat screenshot or a payment detail and gets a graded risk verdict in about a minute: scam-script language, rent far below the local market, IBAN and payment red flags. Before a deposit is paid, an optional paid check matches the name the "landlord" gave against the Dutch land registry (Kadaster) and answers strictly match / no-match, so no owner's personal data is ever displayed. Dormetrics is a trade name of DoArt, a Dutch sole proprietorship (eenmanszaak) registered at KVK 58598464 in Helmond, Netherlands. It is a risk signal, never a guarantee.

One line, if that is all you have room for: Dormetrics is a free Dutch rental-scam check that tells a renter which red flags fired and whether the person taking their deposit legally owns the place.

Company facts

Product name
Dormetrics
Tagline
Know who owns it. Before you pay.
Legal entity
DoArt — Dutch sole proprietorship (eenmanszaak)
Trade name
Dormetrics
KVK (Chamber of Commerce)
58598464
BTW / VAT
NL005056384B70
Based in
Helmond, Netherlands
Public launch
17 July 2026
Website
https://www.dormetrics.com
Press contact
hi@dormetrics.com
Founder
Duarte Gomes Silva — sole founder and operator

Every figure above is the same one on our about page and in our terms — one source, so a fact-check never finds two versions.

What we claim

  • We give a graded risk verdict — no red flags found, proceed with caution, high risk, or couldn't confirm.
  • We check the things a renter cannot easily check alone: scam-script language, rent against the local market, IBAN and payment shape, and the land-registry owner match.
  • The owner check is answered as match / no-match. We never display an owner's name or personal data, and we do not keep it.
  • The free verdict never reveals owner identity. Owner data is paid, fresh on every request, and never cached.

What we do not claim

This is the part most easily got wrong in a write-up, so it is stated plainly rather than buried in a disclaimer.

  • We never say a listing, a landlord or an agency is "safe". There is no safe band in the product, deliberately — a scammer can impersonate the real, publicly listed owner, so a clean check is never proof.
  • We are harm-reduction, not a fix for the housing shortage. Dormetrics adds zero homes.
  • We do not run reverse searches. You cannot type a landlord's name and get their properties — only address to owner, and only with a paid, logged request.
  • We do not operate a landlord database, a review score, or any "worst landlord" surface.
  • We do not handle deposit money, hold funds, or run escrow.

If a sentence in your piece would read as “Dormetricsconfirms this listing is safe”, it misstates the product. The honest version is “Dormetricsfound no red flags, which is not a guarantee”.

Data for journalists

The Rental Scam Monitor publishes what our own verdict engine returned, aggregated over a rolling 365 days: the distribution across verdict bands, per-platform and per-month flagged rates. It is the one dataset on this subject that nobody else has, and it is free to use.

  • Human-readable page, rebuilt hourly: /scam-monitor — carries schema.org Dataset markup.
  • JSON, unauthenticated, no key required: https://www.dormetrics.com/api/stats/monitor
  • CSV, same figures, for a spreadsheet: https://www.dormetrics.com/api/stats/monitor?format=csv

How to cite it:“Dormetrics Rental Scam Monitor, www.dormetrics.com/scam-monitor, retrieved [date]”. The JSON carries generatedAt; use that as the retrieval date rather than the day you downloaded it, so two people quoting the same figures agree. Attribution is appreciated but not required, and you do not need to ask us first.

Reading the JSON: the report sits under data in the standard response envelope — data.totalChecks, data.bands, data.platforms, data.months. The CSV has one header row (section,key,checks,flagged,flagged_pct,high_risk) and one row per published band, platform and month. Both are cached for an hour.

What the suppression floor means. The figures are k-anonymised before they are published, and the floors travel with the data so you can audit them:

  • No published cell describes fewer than 25 checks. Anything smaller is pooled into other, and the pool itself is dropped if it is also under the floor.
  • Below 100 checks in total, nothing but the headline count publishes at all. A “43% of listings on X are scams” built on nine checks would be quotable, wrong, and ours.
  • Only the hostname of a checked listing is ever kept — never the path — so a published figure can never be traced back to the one listing a renter was looking at.
  • The report states its own kMin, minTotal, totalChecks and suppressedChecks. If published is false, the corpus was too small to say anything beyond the total, and you should treat it that way.

Please read the live number rather than quoting one from this page. Dormetrics launched in July 2026 and the corpus is genuinely small — at the time of writing it is still under the 100-check floor, so the feed reports published: false and the tables are empty by design rather than by accident. That is the honest state of a young tool, and we would rather you saw it than a rounded-up number. We publish no usage figure on this page precisely because it would be stale by the time you read it.

Separately, /statistics collects verified Dutch fraud figures from institutional sources (Fraudehelpdesk, LSVb, Kences and others), each one linked to the source it came from. Those are not our numbers and we do not present them as ours.

Coverage so far

One outlet has written about us, and we would rather list one real article than a wall of logos.

“Student develops website to detect rental scams” — Cursor, the independent news outlet of Eindhoven University of Technology, July 2026.

Logos and brand assets

Full kit with previews and usage notes at /brand. Direct paths, if you just need the file:

Logo mark (SVG)
/brand/dormetrics-mark.svg
Wordmark (SVG)
/brand/dormetrics-wordmark.svg
Lockup (SVG)
/brand/dormetrics-lockup.svg
Lockup, white — for dark backgrounds
/brand/dormetrics-lockup-white.png
Lockup, black — for light backgrounds
/brand/dormetrics-lockup-black.png
Logo, 2048px PNG
/brand/dormetrics-logo-2048.png
Social card, light
/brand/dormetrics-social-light.png
Social card, dark
/brand/dormetrics-social-dark.png

Use the white lockup on dark backgrounds and the black one on light. Do not recolour, stretch or rebuild the lockup by hand. Using our assets in a story about us needs no permission and implies no endorsement either way.

Interviews and background

Duarte can talk on the record about rental scams targeting international students, the Dutch deposit rules under the Wet goed verhuurderschap, the July–September intake fraud peak, and why the land-registry owner match is the single check that kills the fake-landlord scam. In English, Dutch or Portuguese.

He will also tell you what the tool cannot do, which is usually the more interesting half of the interview.

hi@dormetrics.com · contact form