AI answering service: AI Answering Pricing 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).

31 of the 47 named sources that could be read published a usable figure; 16 published none and are recorded as not published, never filled in; 0 could not be read (blocked, dead or unreachable) and count nowhere.

The headline figures (median, minimum, maximum, quartiles) are over ONE figure per source for each breakdown it prices, in USD (a source's median where its page yielded several accepted sentences for one breakdown), so a page that gives figures for several breakdowns gives one for each and N counts 34 figures, never sentences; 521 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): the advertised entry price, the included allowance (minutes, calls, conversations or unique customers) and the overage rate, normalised to a cost per answered call at 50, 200 and 500 calls a month, across every provider that publishes one: the median, the spread and the cheapest at each volume; the share of the market that publishes a price at all versus quote-only; which pricing UNIT each provider bills in - the estate's own finding is that the four units (per minute, per call, per conversation, per unique customer) are not comparable at the advertised number and only become comparable at a modelled volume; and repriced-since the previous read

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