Simulator Methodology API

System-Level Cash-Flow and Risk

A self-governing ledger should work if every transaction carried its own proof. Adjust inputs, tap the i icons for notes, and see Current vs Ideal side by side.

Purpose

Simulator turns a few inputs into an immediate read on flow, losses, and trust so leaders can reduce waste and make safer choices. Direct gains include lower carry costs, clearer buffers, and reduced loss. Indirect gains include stronger small business cash flow, fewer panic cycles, simpler compliance on cleaner rails.

Health Codes

Good Warning Bad

Trust thresholds used everywhere: Good ≥ 70, Warning 40–69.99, Bad < 40. The gauge below each Trust metric uses these colors.

Real Real Custom

Inputs

Preset

Presets load scoped, realistic defaults. You can still edit any field.

Global liquid capital (USD trillions)

Base velocity (turns per year)

Credit multiplier (x)

Reserve ratio percent

Default rate percent per year

Fraud rate bps

Settlement latency hours

Consumption share percent

Consumption velocity factor

Investment velocity factor

Trust to velocity strength (0 to 0.5)

Enable trust feedback

High risk exposure percent

Underbanked share percent

Policy scenario

Custom edits always apply. Scenarios set gentle multipliers on latency, loss, and reserve floor.

Results

Real

Annual transaction volume

Throughput target tx per sec

Required reserves

Expected annual loss

Latency cost per hour

Trust Index 0 to 100

Bad—Good

Model Notes

Volume = Capital x Velocity x Credit Multiplier. Velocity is adjusted by sector mix and trust feedback when enabled.
Throughput assumes a demo ticket size of $50.
Reserves = max(Reserve%, Scenario Floor) x Expanded Base.
Loss = Defaults on base + Fraud on volume. Regional weights apply gentle multipliers.
Latency cost = Volume x (Latency hours / 8760) x 4% with underbanked uplift.
Trust Index penalizes latency, defaults, and fraud. Scenarios apply soft system effects.