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3,356,405 SKUs under observation

Movers

The biggest rises and falls over the window you choose. Rises lead, because those are the ones that cost you money — and a fall is a saving you have to notice before you can collect it.
How “biggest” is decided
$ impact ranks by the difference between the price now and the price 7 days ago — the money a unit costs that it did not before. % move ranks by that same difference relative to the old price. They return substantially different lists, because unit prices here span several orders of magnitude: the largest percentage moves are usually sub-cent items, and the largest cash moves are the accelerator and instance hours. Neither list is filtered by price unless you set a floor.
Filters

Rising

Top 0 over 7 days, ranked by the change in price per unit — the move an invoice feels

Nothing rose over the last 7 days under these filters.

Falling

Top 0 over 7 days, ranked by the change in price per unit — the move an invoice feels

Nothing fell over the last 7 days under these filters.

Most repriced

Changed most often in the last year — unstable to budget against, however the year netted out

No SKU was repriced more than once in the last year under these filters.

Where the movement is

Mean net list-price change by service, last 7 days

No service moved over the last 7 days.

How these numbers are calculated

Each SKU's change compares the price in effect today with the price in effect 7 days ago. $ impact ranks by the difference between those two prices — the money a unit costs now that it did not before. % move ranks by that difference relative to the old price. They are different questions and they return substantially different lists: unit prices here span several orders of magnitude, so the largest percentage moves are usually sub-cent SKUs where a fractional adjustment is a big proportion, while the largest cash moves are the accelerator and instance hours. Neither list is filtered by price unless you set a floor above, and the floor shows as a removable chip when you do.

SKUs that did not exist at the start of the window are excluded from the ranking rather than counted as an infinite rise — they appear in the changelog as new SKUs instead. Service roll-ups are the mean across that service's moving SKUs, so a service with one dramatic outlier does not look like a service that repriced everything. Both rankings show the top 20 of the matching set; the full set is in Explorer.