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Detective Modo

📅 Nov 9, 2025 Adventure Early Access Indie 2 user reviews · 100% (2) 👥 0

A mystery adventure game where you play as a shapeshifting lizard, transforming into any NPC to unlock unique dialogue, solve intricate puzzles, and complete diverse quests to unravel a town's secrets.

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Price history and discounts

Current price: $4.99. All-time low: $4.99 (low recorded on 09/04/2026). Now is the best time to buy — the price matches the all-time low.

We track Steam prices automatically and update them within minutes of any change. The chart shows how the price changed over time and helps you decide whether to buy now or wait for a discount.

Prices in other regions

Brazil R$16,99

Europe (€) 4,99€

United Kingdom £4.29

Kazakhstan 1 500,00₸

Ukraine 124,00₴

Screenshots

System requirements

Minimum

Minimum:

OS: Windows 10 (64-bit)
Processor: Intel Core i3-2100 @ 3.1GHz or AMD Phenom II X4 965 @ 3.4GHz
Memory: 4 GB RAM
Graphics: NVIDIA GeForce GTX 1060 (3 GB VRAM) or AMD Radeon RX 470 (4 GB VRAM) – or equivalent with DirectX 11 support.
DirectX: Version 11
Storage: 2 GB available space
Sound Card: DirectX compatible sound card
VR Support: Not supported
Additional Notes: The game is lightweight and primarily uses 2D canvas rendering with occasional video playback. Ensure hardware-accelerated video decoding is enabled in your browser or runtime environment for smoother performance. Tested on low-end hardware; should run on most modern systems without issues.

OS: Windows 10 or 11 (64-bit)
Processor: Intel Core i5-8400 @ 2.8GHz or AMD Ryzen 5 2600 @ 3.4GHz
Memory: 8 GB RAM
Graphics: NVIDIA GeForce GTX 1080 (8 GB VRAM) or AMD Radeon RX 5700 (8 GB VRAM) – or equivalent with DirectX 12 support for optimal video and rendering smoothness.
DirectX: Version 12
Storage: 3 GB available space
Sound Card: DirectX compatible sound card with surround sound support
VR Support: Not supported
Additional Notes: Recommended for higher resolutions (1080p+) or if running multiple applications simultaneously. The game's code is optimized for efficiency, with precomputed lookups and minimal real-time computations, so it scales well even on mid-range hardware.