Four of these are running in production right now, on their own domains, and have been for months. The last four are working demos built over companies that do not exist — because clients aren't named and their data isn't shown, and that's the same deal you'd get.
Every link below opens. None of them is a screenshot.
Retailers reprice constantly and publish only the current number. Without a record of what a thing cost last week, a red tag is a claim you have no way to check — and the retailer is the only party holding the evidence.
We sweep 38 retailers overnight and keep every price we see, so a cut is measured against that item's own history rather than against a manufacturer's list price. Clearance and destock run on their own cadences, because a price that moves hourly and a price that moves seasonally are different questions.
It has run unattended since launch. The storefront is the public face of an archive that is the actual asset.
Open The Undersold Running unattended
A vacation rental that is still empty four days out is a depreciating asset, and owners quietly discount it. Nobody is watching that window on the traveller's behalf, because the platforms have no reason to surface it.
We sweep check-ins zero to five days out across drive-from-Charlotte markets, track price over time per property, and rank on the size of the actual cut rather than on the headline nightly rate. A property that was always cheap is not a deal.
Three full sweeps a day, with a lighter rescore every two hours to catch cuts made between them.
Open It's Giving Gone Running unattended
A state agency published current wait times and overwrote them continuously. Useful if you were leaving the house in ten minutes; useless for answering whether things were getting worse, which office was worst, or whether a policy change did anything at all.
We built a collector that samples on a schedule through the operating day and keeps every reading. The analysis layer sits on top: what the wait was at closing, what the day's peak was, how one office compares to itself last quarter.
Because the sampling rate changed partway through, the analysis aggregates by day before it aggregates across days — pooling the raw readings would silently weight the denser period. The dataset is now the only longitudinal record of its kind, and it exists because someone decided to start writing it down.
Open Seen NC Running unattended
A listing tells you the price. It does not tell you that the same machine has been on the same lot for eleven months, which is the single most useful thing a buyer could know walking in.
We built a public consumer site over the same inventory spine that powers the private dealer audit — but on a strictly separate process that reads through its own data layer and cannot reach private audit findings. That boundary is enforced in code, not by convention.
Indexable on purpose: the person this helps is standing in a showroom with a phone, searching the model in front of them.
Open Listed Since Running unattended
Ninebark Motor Group is not a real company. Every unit, price and photograph in this demo was fabricated. The findings above were not — they were computed by the same audit engine that runs against real dealers, pointed at invented inventory. The data is fake; the machine is not.
Dealers routinely have three sources of truth for inventory — the website feed, the DMS, and the actual floor — and no way to compare them. Units sold weeks ago keep drawing leads. Units physically on the lot never made it online.
The audit grades every unit with explicit provenance: confirmed on the floor, catalog-only, or genuinely ambiguous. The ambiguous bucket is the part that matters — the absence of a VIN is not proof a unit isn't there, and a tool that pretends otherwise burns a dealer's trust in the first week. Eleven of Ninebark's units sit in that bucket and the audit declines to call them either way.
It also catches what one store fails to publish for the other: eight machines the euro storefront lists that never appeared on its sister site, found from outside with no inside access at all.
Open the Ninebark demo Simulated data
Halloway Educational Technologies is not a real company. This demo runs the real catalog pipeline over a de-identified 3,814-product slice. Distributor cost, the original listed price and the MAP floor are deleted rather than nudged — a perturbed cost is still a cost — and every price you see was moved deterministically. Unlike the audit demo above, the figures on its own pages are illustrative rather than computed.
A dealer catalog of tens of thousands of hand-keyed items does not fail loudly. It drifts. Lines get added and never retired, a manufacturer winds down and its products stay quotable, and a price set one year gets honoured the next. Nobody keeps a catalog that size current by attending to items one at a time.
So the storefront is not a site anyone edits. It is re-derived overnight from distributor feeds — normalized against a vendor-agnostic product schema, floored at MAP, enriched so the catalog is searchable on something other than a part number, and every run writes a changelog of what moved.
The part that matters isn't the first successful pull. It's what happens when the far end changes shape without warning: the pipeline fails loud and holds last-good rather than quietly publishing stale prices.
Open the Halloway demo Simulated data
Ferrule & Grip is not a real company. Every customer, address, club, price and photograph in this demo is invented — the addresses are IANA-reserved and cannot reach a person, and the “photographs” are labelled placeholder plates. The instance carries no payment, shipping or email credentials at all, so it is structurally incapable of charging a card, buying a label or mailing anyone.
A one-person restoration shop was selling through a marketplace that handled the listing badly and everything after it worse: no prepaid inbound label, no way to quote work that can only be priced once the item is on the bench, and no answer to “where is my set” except a phone call.
So the whole path is one system. Pick services from an editable menu and pay, with the shop as merchant of record and our cut riding along as an application fee rather than a separate invoice. A prepaid inbound label is bought and emailed automatically. Each item becomes a row on a ticket, and inspection can raise a supplemental invoice that pauses the work until it is paid or declined.
The load-bearing decision is that a shipping label is never bought inside a checkout. It is a retrying, database-backed task whose terminal failure mode is “the owner cuts a label by hand” — which is his process today, so the worst case is where he already is rather than a customer who paid and got nothing.
Open the Ferrule & Grip demo Simulated data
Bidwell Family Beef is not a real company. There is no such ranch, family, processor or animal. It runs the same code and templates as a real client pitch, built from a second dataset — which is itself the point: the entire site is re-skinned by editing data, with no code change.
A direct-to-consumer food brand lives or dies on claims — grass-finished, no hormones, single-origin, dry-aged twenty-one days. Those claims get written by whoever is building the page, and nothing in a normal publishing stack checks whether the operation actually supports them.
So the data model carries the facts and the marketing copy has to earn them. Every product traces to a lot, every lot to an animal group, a pasture, a harvest date, a processor and a hang time — and those are computed from the records, not typed into the page.
Then a claims linter reads the copy against the data and fails the build on anything unsupported. Adding “certified organic, 100% grass-finished” to this demo stops the build with unsupported-claim: promise.6.body — claims 'organic' but operation_type is 'UNKNOWN' and exit code 1. You cannot ship the page by accident.
Open the Bidwell demo Simulated data
Tell us what you're trying to see and what's in the way. If it isn't something we can help with, we'll say so in the first reply rather than the third meeting.
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