Area 115: Facility 73
A Roblox experience owned by [SECURE - CONTAIN - PROTECT].
RoleplayENSCP FoundationRoleplaySci-Fi Horror
Description (written by the developer; not a statement by this register)
Area-115, also known as Armed Research and Containment Facility 115 is a large containment complex founded in 1984 by the SCP Foundation for the purpose of research into humanoid entities and serving as a vital outpost for personnel within unoccupied territory. Standing in Antsiferov Island, Russia, Area-115 has grown in scope to be the primary containment facility for this region presiding over both combative operations, serving as the primary deployment site for local Mobile Task Forces units, and maintaining the containment of high priority SCPs within this location. Growing to contain not only humanoid entities but a variety of SCPs within the scope of biological functions, Area-115 holds over twenty SCPs in high-security containment. You will spawn in the Class-D containment zone and be unable to select other teams upon first entry into the game. In order to leave this zone and to begin your career, you must apply for higher clearance. Legacy passes are supported.
Last updated by the developer 18 Apr 2025, 00:57 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 We do not publish numbers we have not measured.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 |
|---|---|---|
| 14 Aug 2026, 20:00 | 0 | 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.