Datasetpublic

kyisaiah47/storeready-builders

StoreReady: AI app builders and whether their output ships One row per AI app builder: what it actually outputs, whether the source leaves the platform, whether it submits to the store for you, what it costs, and the review verdict on whether the App Store accepts what it produces. Rows in this cut 14 One row is one app builder Cut 2026-09-04 Refreshed Monthly, on the first of the month Measured by StoreReady Method… See the full description on the dataset page: https://huggingface.co/datasets/kyisaiah47/storeready-builders.

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Dataset Card

StoreReady: AI app builders and whether their output ships

One row per AI app builder: what it actually outputs, whether the source leaves the platform, whether it submits to the store for you, what it costs, and the review verdict on whether the App Store accepts what it produces.


Rows in this cut	14
One row is	one app builder
Cut	2026-09-04
Refreshed	Monthly, on the first of the month
Measured by	StoreReady
Method	https://toolproof.thecompound.tech/methodology
Licence	Creative Commons Attribution 4.0 International
Publisher	Compound Labs
Also on	Hugging Face · Zenodo

How it is measured

Every verdict is attached to numbered evidence in the companion evidence dataset. A builder nobody has evidence for is published as unknown rather than given the benefit of the doubt.

What a citer needs to know

—risk_guidelines names the App Review guideline clauses the output is exposed to, by number.
—A verdict is about the output, not about the company. It moves when the output changes.

Files

File	Format	Size
`storeready-builders-2026-09-04.csv`	CSV	0.02 MB
`storeready-builders-2026-09-04.json`	JSON	0.02 MB

Every cut is also a GitHub release with the same files attached, so a citation can pin the exact edition it quoted.

Schema

Column	Type	Empty in sample
`slug`	string	0.0%
`name`	string	0.0%
`tagline`	string	0.0%
`url`	string	0.0%
`category`	string	0.0%
`output_type`	string	0.0%
`output_detail`	string	0.0%
`exports_source`	string	0.0%
`exports_source_detail`	string	0.0%
`submits_for_you`	string	0.0%
`price_free`	boolean	14.3%
`price_from_usd`	number	7.1%
`price_note`	string	0.0%
`review_verdict`	string	0.0%
`review_summary`	string	0.0%
`risk_guidelines`	array	0.0%
`rank`	number	0.0%
`updated_at`	string	0.0%

Cite it

Compound Labs (2026). StoreReady: AI app builders and whether their output ships. StoreReady, https://storeready.thecompound.tech. Cut of 2026-09-04. Creative Commons Attribution 4.0 International (CC BY 4.0). https://github.com/kyisaiah47/compound-datasets/tree/main/storeready-builders

bibtex

@dataset{compound_storeready_builders_2026,
  title     = {StoreReady: AI app builders and whether their output ships},
  author    = {{Compound Labs}},
  year      = {2026},
  publisher = {Compound Labs},
  url       = {https://github.com/kyisaiah47/compound-datasets/tree/main/storeready-builders},
  note      = {Cut of 2026-09-04. Measured by StoreReady, https://storeready.thecompound.tech},
  license   = {CC-BY-4.0}
}

The whole collection has a DOI, 10.5281/zenodo.22844096, at https://doi.org/10.5281/zenodo.22844096. It resolves to the newest Zenodo version. To pin the exact deposit this cut belongs to, cite 10.5281/zenodo.22844097 instead.

Attribution is the licence condition, and it is the only one. Quote a figure with the publisher, the product that measured it and the cut date, and there is nothing else to ask.