Methodology & freshness
How we source
our price data.
A price signal is only worth as much as the method behind it. Here is exactly what our numbers are, what they are not, and how to read them.
Read this first
Our signals are built on observed asking prices from active listings — not confirmed sale prices, and not an appraisal of what a bag is "worth." A signal is a listing-opportunity read: how a given listing sits against comparable listings on the market right now. It is not investment advice.
Asking price, not sold price
During beta, what we measure is what sellers are asking across authenticated listings. Confirmed transaction prices are not reliably public, so we do not claim them. When we can add a compliant source of completed-sale data, we will label it separately and clearly — we will never quietly mix the two.
Where the live data comes from
The listings and links you see are pulled at page load from marketplace APIs — at launch, primarily the eBay Browse API, which also lets us surface listings covered by Authenticity Guarantee on eligible items. These live results are shown, never stored. As we add further authorised sources, each one is listed here with what it is permitted to be used for.
The comparable-median method
For each bag we define a precise entity — house · model · size · material — because those attributes materially move price; a "Loewe Puzzle" is not one price series, but a Small Calfskin is. We then take the current comparable listings for that entity and report:
- the comparable-listing range (low to high),
- the comparable median, and
- where a specific listing sits versus that median.
That reading is a signal of opportunity against the current market of listings — not a claim about fair value, resale value, or future return.
What we store, and what we don't
We keep live marketplace results display-only — nothing from a partner API is retained. Our own price index is different: we record our own daily aggregates for each bag (median, low, high, count) — never raw listings, photos, or seller data. That aggregated, dated observation set is the history behind our trends, and it is ours.
How fresh it is — and the trend
The listings and the price spread on a bag page are live, pulled at page load. A genuine 90-day asking-price history then accrues as we record those daily aggregates; a model only shows a real multi-week trend once it has enough dated observations. Until then we show the live snapshot and say the history is building — we would rather do that than draw a confident line we cannot stand behind.
Confidence & coverage
Not every bag has a deep market at every moment. When comparable listings are thin, we say the confidence is low and show fewer conclusions rather than more. When there is no matching listing at all, we tell you that plainly and keep watching on your behalf.
Why you can trust the signal to be neutral
We earn a referral fee when you buy through a link. It never changes which listing we surface: the genuine, authenticated listing that fits wins regardless of who pays us. If we cannot evidence a claim with a dated, real listing, we do not make it.
Corrections & takedown
We want to be an accountable information service, not an opaque affiliate layer. If something here is wrong, tell us and we will fix it — usually within a few business days:
- wrong bag metadata (model, size, material, generation),
- a stale or clearly mispriced signal,
- a broken or mis-targeted listing link,
- a trademark, image, or copyright concern from a brand or rights holder,
- a data-source or attribution concern from a marketplace.
Reach us at [email protected]. Brands and marketplaces can use the same address for source or trademark matters.