# Seat model: a census of 142 listings

> Source: The Agents Index — https://theagentsindex.com/blog/seat-model-census (sourced research)
> By The Agents Index Editorial · Published 2026-09-20 · Updated 2026-10-03

_47 of 142 listings answer yes for “Seat model”. Counted from our own datasheet, with the query that reproduces every figure._

## Seat model, across 142 settled listings

Of the 142 Published listings whose datasheet settles “Seat model”, the largest group is “Yes” at 47 (33%). Measured 2026-10-03.

| Listings | Count | Share of 142 |
| --- | --- | --- |
| Yes | 47 | 33% |
| Qualified | 29 | 20% |
| No | 46 | 32% |
| Does not apply | 13 | 9% |
| Not established | 7 | 5% |

Denominator: 142 Published listings whose datasheet settles “Seat model”. Method: Counted from the stored datasheet answer for “Seat model” across every Published listing, excluding the 1 without a recognised stored answer on that row.

## The population

143 listings in this index are Published. This is the population as of 2026-10-03. 142 of the 143 published listings in this index carry a settled answer for “Seat model”. That row asks: Priced per seat, and is there a floor or a ceiling? One other listing has no recognised stored answer on this row and is left out of every figure below rather than counted as a no.

## Findings

1. 47 of the 142 settled listings answer “Yes” for “Seat model”. That is 33% of the settled set.

2. 29 of the 142 settled listings answer “Qualified” for “Seat model”. That is 20% of the settled set.

3. 46 of the 142 settled listings answer “No” for “Seat model”. That is 32% of the settled set.

4. 13 of the 142 settled listings answer “Does not apply” for “Seat model”. That is 9% of the settled set.

5. 7 of the 142 settled listings answer “Not established” for “Seat model”. That is 5% of the settled set.

1 of those yes answers is Spiich, which still answers yes for “Seat model”. Its [listing](/spiich) carries the stored answer and links to [the source recorded for it](https://spiich.ai/terms). This is one worked example, not an independent audit of every source in the census.

## What we counted, and how

Each figure above is a count over the “Seat model” row of the listing datasheet, taken from the same stored answer the listing page renders. The denominator is the 142 listings whose answer is settled, meaning one of yes, qualified, no, does not apply, not established. It is not the 143 in the index, because a missing answer is not evidence of absence. Every number here is stored with the read-only query that reproduces it and re-run every sixty seconds against the live corpus, so a figure that stops reproducing surfaces as drift rather than as a stale sentence nobody notices. Our full method covers how a datasheet row is settled in the first place.

## Limitations

This counts stored datasheet answers, not independently tested capabilities. A sourced answer can record a vendor statement or our reading of published evidence; this census does not re-fetch those sources. “Not established” means we have not established an answer. That can reflect vendor nondisclosure, blocked evidence, or unfinished research, not a no. An absent or unrecognised answer is excluded rather than treated as a researched finding. The figures are restated when the stored corpus changes; the date above is the count used for this published version, not a new verification of the vendors.

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Tags: data-report, census