Analyzed automatically. Assessed 2026-10-04 from 1,060 user reviews, the store listing and its privacy label. We have not scanned the app's package, so nothing on this page was read from inside the app itself.
This analysis describes version 0.20.1 of the app, analyzed 2026-10-04 . The app may have changed since.
The store currently lists version 0.20.1, updated 2026-09-28.
What the analysis found
Positive evidence 1
Things this app does right, published at the same strengths as the catch list.
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.
Aggressive ad load
just another stupid thing with the same games that will play commercials after every single level. unless you pay to get rid of them. goes against the whole point of winning money from the thing but if they let people play fairly the scam…
the app is stupid 26 games just had it counted and it ok only gave me 360 coins , that look like pennies. 26 brought me $0.36. 36 cents complete bull. the commercials are liars, I had too many games for that sorry reward
if youre going to spam people with unskippable ads at least change up your AI script instead of making people watch the same ad, same script with different "people"
Reports that the ads misrepresent the app
UPDATE: 9/22/26- Still no response from June! but the WORST part is, I was doing a challenge and I am half way on the challenges. supposed to have 30 days still left, get on the App this morning and it says 10 hours!! what a SCAM!! What…
False advertising is scummy, and thus worthy of less than 1 star
A "handpicked" offer (Opinion Outpost) appeared with 4 easy milestones: sign up, register email, complete a survey for $1.20. It sounded too good to be true and I was right. Upon completing the tasks successfully, I return to Scrambly and…
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.