Who should use Fraudly – Scam Detector?

Fraudly – Scam Detector is a consumer product built for consumers concerned about online safety.

Does Fraudly – Scam Detector have a free plan?

Yes — there is a free tier, with paid plans for advanced use.

What platforms does Fraudly – Scam Detector run on?

Fraudly – Scam Detector runs on iOS.

Is Fraudly – Scam Detector still active?

Unverified. Fraudly – Scam Detector has not been re-checked since it entered the index, so there is no finding either way — and only a positive finding would say otherwise.

Who makes Fraudly – Scam Detector?

Fraudly – Scam Detector is developed by Ronald Stel, based in the United States.

When did Fraudly – Scam Detector launch?

Fraudly – Scam Detector first shipped in 2026.

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Fraudly – Scam Detector

Name: Fraudly – Scam Detector
Author: Ronald Stel

App StoreSecurity & compliance platforms🇺🇸

Fraudly is a scam detector app that analyzes websites for trustworthiness using technical checks, reputation signals, and AI-powered risk analysis. It provides instant trust scores, scam detection, and detailed reports to help users avoid online fraud and phishing.

FreemiumiOS

Visit App Store

Overview

6 features

In the Security & compliance platforms space, Fraudly – Scam Detector takes a focused approach. It helps users identify suspicious websites and avoid online scams using automated and AI-assisted analysis. It is built as a consumer product for consumers concerned about online safety. There is a free tier. It ships for iOS.

Behind Fraudly – Scam Detector is Ronald Stel, based in the United States, and it first shipped in 2026. Key capabilities include website trust analysis, phishing detection, and AI-powered scam analysis.

Website trust analysis
Phishing detection
AI-powered scam analysis
Reputation checks
Risk scoring
Detailed reports

Built with & integrations

Runs on

iOS

Trust & compliance

Verified signals

HTTPSFree tierStore-verified publisher

Indexing history

What PulseGate has recorded for this listing

Indexed27 Jun · 23:53 UTC
Fraudly – Scam Detector verified against its public source
Source: PulseGate · Open

Frequently asked questions about Fraudly – Scam Detector

What does Fraudly – Scam Detector do?: Fraudly – Scam Detector helps users identify suspicious websites and avoid online scams using automated and AI-assisted analysis. It is catalogued under Security & compliance platforms on PulseGate.
Who should use Fraudly – Scam Detector?: Fraudly – Scam Detector is a consumer product built for consumers concerned about online safety.
Does Fraudly – Scam Detector have a free plan?: Yes — there is a free tier, with paid plans for advanced use.
What platforms does Fraudly – Scam Detector run on?: Fraudly – Scam Detector runs on iOS.
Is Fraudly – Scam Detector still active?: Unverified. Fraudly – Scam Detector has not been re-checked since it entered the index, so there is no finding either way — and only a positive finding would say otherwise.
Who makes Fraudly – Scam Detector?: Fraudly – Scam Detector is developed by Ronald Stel, based in the United States.
When did Fraudly – Scam Detector launch?: Fraudly – Scam Detector first shipped in 2026.

At a glance

Platforms: Mobile
Languages: English
Built for: consumers concerned about online safety
Model: B2C
Solves: Helps users identify suspicious websites and avoid online scams using automated and AI-assisted analysis.

Registered as

App Store: 6768437414
Google Play: app.fraudly.mobile

Developer

🇺🇸Ronald Stel

Index record

Identity confidence: High · 91.2
Indexed: 27 Jun 2026
Lifecycle: Alive
Last seen: 27 Jun 2026

Identity audit (12)

Slug: fraudly-scam-detector-apple-com
Lifecycle last checked: 8 Aug 2026
Verification state: Indexed for public listing
Listing state: Listed: yes
Index status: Included in index
Latest evidence snapshot: 27 Jun 2026
Timeline basis: Indexed-at chronology. This listing's first-seen date was written by the catalog backfill, not observed here, so it is not treated as a sighting.
Name from: Derived from the project's own page and URL.
Category from: Assigned by a language model.
Summary from: Taken from the project's own store listing.
Languages from: Detected by a language model from page content.
Canonical URL: https://apps.apple.com/app/id6768437414

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