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Payroll Software — data notes

A reading guide to the Payroll Software build: what it contains, how concentrated the market slice is, which fields are complete, and what the quality tier does and does not promise. All numbers below are computed from the current bundle (v2_20261115); they are descriptive, not a market forecast.

What this build contains

The bundle has 54 product records from 6 brands, with 100.0% of populated values carrying a source URL, quote and fetch time, and 100.0% of rows carrying at least one non-price spec field. Every value is a public-page extract; missing values are left null rather than inferred. Quality tier: lite.

Price and brand concentration

Listing prices in this build: median $27 (P25 $8, P75 $79, n=54). The largest collections are Gusto (18), OnPay (14), QuickBooks Payroll (10), Justworks (8), Square Payroll (3); the top brand (Gusto) accounts for 33.3% of records, which is useful context when using the bundle as a market sample — a five-brand build is a slice, not the whole category.

Field completeness

The best-populated non-price fields are listed below with their non-null counts and coverage. Buyers can filter on these fields immediately; fields not listed either fall below 20% coverage or are absent from this build.

FieldNon-nullCoverage
free tier54100.0%
annual billing54100.0%
page plan count54100.0%
plan rank54100.0%

Quality and limitations

This is a lite/inventory build: every row passes the price and spec-row coverage gates for its tier. 54 record(s) carry QA flags (for example, advertised capacity that does not match voltage × amp-hours); 0 record(s) have no listed price and are excluded from price analysis. Values were fetched on the source page date recorded per value, so live prices may differ after this build.

Refresh and citation

Version: v2_20261115. The public change log lists added, removed and price-changed records. Cite as: “nichelib, Payroll Software dataset v2_20261115”, with the source URL per value kept in the licensed bundle. The free sample (20 rows, CSV/JSON) is available on the dataset page.