Account reconciliation software (5 sources)

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).

5 of the 29 named sources that could be read published a usable figure; 24 published none and are recorded as not published, never filled in; 4 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; 136 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): across every vendor in the reconciliation and close category: whether the vendor PUBLISHES a price at all, the published rate and its unit (per user per month, per process, per transaction volume, inside an EPM subscription), and the capability set each one claims - auto-match, preparer and reviewer sign-off, supporting-schedule storage, ERP connectors.

The derived figure nobody publishes is the PUBLISH RATE and what it costs the buyer: on the reads behind this charter one vendor in the enterprise tier lists a per-seat rate and the rest quote, so a controller pricing the category has no comparable number until someone counts who publishes and what the ledger vendors beneath them charge.

Held over dated reads it shows which vendors moved from quote-only to published, and by how much a published rate changed.

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