Asset financing: Asset Finance Lender Index

Every row is a verbatim sentence read from the named source's own page through our fetch service on the date shown, hash-pinned to the stored read (the sha of the page's visible text; the raw page is mirrored to R2).

3 of the 30 named sources that could be read published a usable figure; 27 published none and are recorded as not published, never filled in; 7 could not be read (blocked, dead or unreachable) and count nowhere.

The headline figures (median, minimum, maximum, quartiles) are over ONE figure per source in USD (a source's median where its page yielded several accepted sentences), so N counts sources, never sentences; 77 candidate sentence(s) were refused by a reviewer with the reason recorded.

The fuller derivation this dataset is chartered to grow into (not yet what the figures above are; they are each source's own published figure as read): one row per lender per asset class - minimum and maximum amount, term, advertised rate or rate band, down payment, minimum credit score, minimum time in business, minimum revenue, whether a startup or a private-seller purchase is accepted - each read from the lender's own product page and quoted with the date; the derivation nobody publishes is the ASSET CLASS CUT: for a given asset (a box truck, an excavator, a dental chair) the count of lenders that will finance it at all, the cheapest advertised band, the lowest credit floor and the widest term, and the share of lenders that publish any number rather than routing the buyer to a quote form; beside it the publication map (which lenders publish a rate, which publish only an amount, which refuse an automated read altogether) and changed-since, because a credit floor moving is the news in this market and no trade body records it

77 candidate sentences on these pages were refused by a reviewer; each refusal and its reason is recorded in the review ledger.