SCP-6310
Unknown
?
low confidence
SCP-6310
Expected annual
$10.5M
One-time setup
$37.7M
Annual recurring
$9.9M
Personnel
29
Initial, programmatic one-time costs are dominated by R&D for sealing technology, black-project reserves, and acquisition/retrofit of secure facilities; recurring annual costs are driven by specialized staff wages, legal/cover operations, and ongoing monitoring/response infrastructure.
One-Time Capital Costs
Total: $37.7M
Annual Recurring Costs
Total: $9.9M/yr
Cost Scenarios
📊
Baseline
(baseline)
$9.9M/yr
Normal year with steady monitoring, research, and occasional low-level incidents; no major outbreaks or large-scale mobilizations.
regular monitoring operations
minor maintenance and routine incidents
🚨
Minor Incident
$10.1M/yr
Localized containment incident requiring additional forensic response, limited buyouts, and short-term mobilization of teams.
single-site breach or high-profile victim
targeted buyout/legal expense
🚨
Major Breach
$14.9M/yr
Several concurrent protrusions or one in a high-traffic hub requiring mass evacuation, large-scale buyouts, reserve drawdown, and accelerated R&D.
multi-site spawn in transit hubs
large public exposure requiring major cover operations
🚨
Catastrophic Spread
$39.9M/yr
Widespread proliferation across multiple population centers requiring massive emergency funding, black-budget R&D activation, and exceptional one-time purchases.
rapid multi-city proliferation
protrusions in multiple mass transit hubs
Personnel
29 total
| Role | Count | Notes |
|---|---|---|
| Security Officer / MTF Agent | 20 | [#3, #14] One 20-person rapid-response specialized team (salaries/equipment/hazard pay) accounted for in staff wages. |
| Research Scientist | 6 | [#11, #10] Specialized botanical/xenobiology/memetic research staff and lab operations included in research staffing costs. |
| Surveillance Operator / Analyst | 3 | [#1, #2, #16] Remote surveillance and data-analyst staffing for sensor network and per-protrusion monitoring. |
Confidence Notes
Estimates rely on wide ranges in analyst notes, uncertain incident rates, and large program-level unknowns (R&D and black-budget items), so precision is low.