Miami City Police AI
A Roblox experience owned by Kryto Studios.
RoleplayENopen worldcrime simulationpolice chase
Miami City Police AI is a roleplay experience created on 2024-06-22. The game has recorded 1,081,366 lifetime visits and 52,859 favorites. Currently, zero users are playing. The title holds a 66% like percentage. The description highlights crime simulation, weapon variety, and a wanted level system inspired by Police AI Playground.
Description (written by the developer; not a statement by this register)
🌟 Welcome to Miami City Police AI, where you commit crimes, cause mayhem, and take on the police who will stop at nothing to bring you down! — 🔫 Variety of Weapons! Select from a wide range of weapons and try to survive in intense standoffs with "highly trained" Cops! 🔼 Climb the wanted list! The more crimes you commit, the higher your wanted level climbs. Can you survive the heat? 🌐 Inspired by Police AI Playground We've taken inspiration from the best and added our own twist of action and AI intensity! — 💰 In-Game Reward @ 1000 Likes 📢 Join our communication server to stay in the loop on new features and content drops! ⛔ Automatic Exploiter Bans are permanent.
Last updated by the developer 21 Feb 2026, 13:00 UTC.
Live players over time
Growth
Growth history is still building. We hold one measurement for this entry. A trend needs at least two, taken days apart — so this will fill in on its own rather than being estimated. We do not publish numbers we have not measured.
| Measured (UTC) | Players | Change |
|---|---|---|
| 10 Aug 2026, 17:07 | 1 | first reading |
Concurrent players at each of our measurements (insert-on-change).
Monetization — game passes
Game passes for sale and their prices, measured from the Roblox passes API. Developer products bought inside the game aren’t publicly listable.
Badge funnel
How many players have ever earned each badge — a proxy for how far players get before they stop. Steep drop-offs mark where a game loses people. Win rate is the past-day share of players who earned it; categories are assigned by a language model from each badge’s own name and description.