We analyzed this app across 3 independent signals and corroborated nothing unfair. That is a signal, not an audit.
This analysis describes version 23.1.0 of the app, analyzed 2026-10-06 . The app may have changed since.
The store currently lists version 23.1.0, updated 2026-09-24.
What the analysis found
One source only — shown, not confirmed 2
A single kind of evidence. We publish these because withholding them would be the bigger distortion, and we do not treat any of them as a finding we stand behind.
What reviewers said
Verbatim excerpts from public store reviews, shown as corroborating user reports. They are not Appworthy audit evidence, and a quotation is not proof of the finding it sits under.
Paywall blocks the basics
Great Selection — Would give this app 5 stars if it was easier to accumulate points so you did not have to pay to read. Great selection of books.
Love the app — I like the wide selection of books. I just wish there was a better way to get access to more chapters at once. I hate having to wait hours to be able to read another chapter. I just want to read the whole book already. I…
Scam — It is deplorable that you would promise that reading the book was free and then charge exorbitant amounts to finish reading it. The payments amount to triple what a novel would cost. Shameful pandering!
Price keeps rising
Boo — I genuinely enjoy the stories on Galatea, and there are definitely books that have kept me hooked. Unfortunately, the pricing is what really brings the experience down for me. The coin system gets expensive VERY quickly, especially…
Unfair practice — The cost of unlocking chapters increases the further along one reads. I find this practice reprehensible. If Galatea were to keep the cost minimal, I might consider using it again. However, I consider paying more than…
What this app sells
From the store listing. Billing terms are read from each purchase’s name — the stores don’t publish them — so treat them as a strong hint, not a disclosure.
Show 1 more purchase we couldn’t categorise
These are really on sale; we just can’t tell from the name whether they recur.
How the automated analysis works
This assessment is produced automatically. Three independent signals are read — user reviews, the store listing and the store privacy disclosure — and each candidate finding is filed under the sources that support it.
No charge stands on one kind of evidence — with one published exception. A finding is either a measured fact that anyone can reproduce (an ad SDK is in the package; every subscription bills weekly; the privacy label omits a tracker we can see), or it is an interpretation — and an interpretation needs independent sources to agree before it reaches the catch list. The exception is a harm only users can see: a charge may publish from reviews alone, as “Reported by N users”, once enough reviewers raise it to clear that charge’s own published bar. That agreement rule is what replaced the human reviewer, not a model’s confidence.
There is no overall score, on purpose. A 0–99 number was published here until 2026-09-15. It was withdrawn because it discriminated too weakly to be the instrument — 44.7% of every pair of apps tied — and because a single number is a verdict where a count is an observation. What publishes instead is a row of measurements, each of which says what was counted and, where we could not look, says that instead.
Findings under One source only are real reports we do not stand behind as findings. They are shown because withholding them entirely would hide a genuine complaint, and labelled because publishing them as charges would be an accusation off a single source.
Several measurements above say “Not assessed” because no artefact we hold can answer them. A human review is what resolves those — and it can remove a favourable band as easily as add one.
Hands-on inspections are not yet open.