{ "name": "Fraud Radar — POS Audit", "tagline": "Money is leaking somewhere in your business — but where?", "description": "Money is leaking somewhere in your business — but where? Fraud Radar turns your POS sales export into a fully prioritized risk report in minutes. No spreadsheet marathons. No accounting background required.\n\nJust export your sales file (CSV) from any POS system and let Fraud Radar do the rest.\n\n● Nine forensic checks in a single pass\nThe engine compares each staff member against the team baseline using statistical rules, then surfaces what to review first:\n• Unusually high bill voids\n• Cash-share concentration above peers\n• Gaps in the receipt number sequence\n• Tax invoices issued to multiple companies\n• Transactions outside business hours\n• Duplicate same-amount entries close in time\n• Frequent manual price overrides\n• Discounts far above the store baseline\n• Clustered refunds\n\n● A report you can actually read\nGet an overall risk index, a ranked list of what to check first, and plain-language findings — raw numbers turned into something you can act on.\n\n● Fair, transparent, verifiable\nFraud Radar flags patterns that warrant a closer look — it never declares anyone guilty. Every result comes from the same statistical rules every time (same file in, same result out) and carries a report integrity hash, so you decide on evidence you can verify, not a hunch.\n\n● Your data is handled with care\nThe analysis engine runs on your device. Before any explanation is generated, data is pseudonymized — real staff and branch names never leave your phone.\n\n● Who it's for\nOwners of restaurants, cafés, retail shops, and multi-branch businesses who want to understand their own sales more deeply and protect their margin.\n\n● Pricing\nStart with a free audit credit and analyze an actual sales export before purchasing. One credit covers one complete audit using a .csv file from your POS.\nAfter reviewing your first report, choose the audit pack that best fits your needs. One audit = one file (up to 10 MB / 50,000 rows). Unused credits do not roll over, and failed files or system errors never consume a credit.\n\nNote: All reports are statistical analysis, not proof of wrongdoing. Please verify source data and additional context before taking any action.\n\nTerms of Use (EULA): https://www.apple.com/legal/internet-services/itunes/dev/stdeula/", "url": "https://debuts.app/apps/fraud-radar-pos-audit", "category": "Productivity", "platforms": [ "iPhone and iPad" ], "pricing": "free", "use_cases": [], "audience": [], "links": { "app_store": "https://apps.apple.com/mx/app/fraud-radar-pos-audit/id6806573777", "google_play": null, "website": "https://tools.alllast.com/posaudit/" }, "icon": "https://is1-ssl.mzstatic.com/image/thumb/Purple211/v4/76/0f/bc/760fbcaa-d0b4-3da2-e2af-83e5d76ddf78/AppIcon-0-0-1x_U007ephone-0-1-85-220.png/512x512bb.jpg", "screenshots": [ "https://is1-ssl.mzstatic.com/image/thumb/PurpleSource221/v4/30/0b/29/300b2972-0e6a-5f11-031f-da0d80cfbb49/7F8EF4F-3004-47FC-8D75-3C223520A021_U0026code_U003d001_U0026library_U003d1_U0026type_U003d1_U0026mode_U003d1_U0026loc_U003dtrue_U0026cap_U003dtrue.png/320x480bb.jpg", "https://is1-ssl.mzstatic.com/image/thumb/PurpleSource221/v4/fd/cc/ae/fdccaeed-4fe4-045f-83eb-3dfb9430604d/E218278-9F03-4FA8-8500-1657918C9D7B_U0026code_U003d001_U0026library_U003d1_U0026type_U003d1_U0026mode_U003d1_U0026loc_U003dtrue_U0026cap_U003dtrue.png/320x480bb.jpg", "https://is1-ssl.mzstatic.com/image/thumb/PurpleSource221/v4/f1/d7/a8/f1d7a86f-dc6b-1be5-b4b3-c48c31ea50c4/8BE6015-3CD8-43A0-8668-C4B6254483D8_U0026code_U003d001_U0026library_U003d1_U0026type_U003d1_U0026mode_U003d1_U0026loc_U003dtrue_U0026cap_U003dtrue.png/320x480bb.jpg", "https://is1-ssl.mzstatic.com/image/thumb/PurpleSource211/v4/4b/0b/d5/4b0bd55e-d7de-8baa-9537-ac8f3299ad2d/A9BEEC2-60A8-4BE8-90AB-B1B96EA94C25_U0026code_U003d001_U0026library_U003d1_U0026type_U003d1_U0026mode_U003d1_U0026loc_U003dtrue_U0026cap_U003dtrue.png/320x480bb.jpg", "https://is1-ssl.mzstatic.com/image/thumb/PurpleSource211/v4/af/31/85/af318507-7632-9f63-89ae-904bff7b6446/4559423-9C79-4A5E-87D7-B11BA1BDD8B2_U0026code_U003d001_U0026library_U003d1_U0026type_U003d1_U0026mode_U003d1_U0026loc_U003dtrue_U0026cap_U003dtrue.png/320x480bb.jpg", "https://is1-ssl.mzstatic.com/image/thumb/PurpleSource221/v4/6f/49/77/6f4977ec-5518-1b2e-0c60-5ae27022e8b4/2DA79D3-31BE-4935-B99E-FE118D6A7474_U0026code_U003d001_U0026library_U003d1_U0026type_U003d1_U0026mode_U003d1_U0026loc_U003dtrue_U0026cap_U003dtrue.png/320x480bb.jpg", "https://is1-ssl.mzstatic.com/image/thumb/PurpleSource211/v4/c0/a9/22/c0a9221b-6322-941d-6b05-36372bed4ba8/81F094A-220E-49E4-91B1-6614AED6E848_U0026code_U003d001_U0026library_U003d1_U0026type_U003d1_U0026mode_U003d1_U0026loc_U003dtrue_U0026cap_U003dtrue.png/320x480bb.jpg", "https://is1-ssl.mzstatic.com/image/thumb/PurpleSource221/v4/a3/08/7a/a3087a57-5be0-3219-08a3-6af99331ad4b/7EE2CC3-2798-4795-ADD2-BBB1F39942A1_U0026code_U003d001_U0026library_U003d1_U0026type_U003d1_U0026mode_U003d1_U0026loc_U003dtrue_U0026cap_U003dtrue.png/320x480bb.jpg", "https://is1-ssl.mzstatic.com/image/thumb/PurpleSource211/v4/ea/8d/ab/ea8dab27-b61d-0ce0-b9c3-f8c521486501/200599D-2197-4878-9459-3518119999EC_U0026code_U003d001_U0026library_U003d1_U0026type_U003d1_U0026mode_U003d1_U0026loc_U003dtrue_U0026cap_U003dtrue.png/320x480bb.jpg", "https://is1-ssl.mzstatic.com/image/thumb/PurpleSource221/v4/fe/be/c4/febec467-768c-b7e8-2c31-b07fdec3cc27/37F4A60-AE3C-4E80-81BF-56FBB1F4021F_U0026code_U003d001_U0026library_U003d1_U0026type_U003d1_U0026mode_U003d1_U0026loc_U003dtrue_U0026cap_U003dtrue.png/320x480bb.jpg" ], "claimed": false, "verified": false, "maker": "Ariya Shibata", "upvotes": null, "followers": null, "rating": null, "ratings": 0, "awards": [], "launches": [], "ai_ready": 78, "badges": { "launched": "https://debuts.app/badge/fraud-radar-pos-audit?type=launched", "award": "https://debuts.app/badge/fraud-radar-pos-audit?type=award", "rating": "https://debuts.app/badge/fraud-radar-pos-audit?type=rating" } }