System Architecture

The METIS Intelligence Subnet

METIS converts orbital behavior into financial intelligence. The subnet is a deterministic pipeline from raw telemetry to standardized, financial-grade outputs delivered via API.

Each stage is independently observable, scored, and labeled — so institutional users always know whether a value is live, consensus-derived, model-generated, or demo-only.

Pipeline

Seven stages, one standard

Epoch 1 · Subnet Activity

MOCK

Stage 1

Orbital + Environmental Data

Stage 2

Miner Task Packets

Stage 3

Miner Predictions

Stage 4

Validator Scoring

Stage 5

Consensus Engine

Stage 6

Standardized Intelligence Outputs

Stage 7

APIs for Finance, Insurance, Operators

Stage 1

Orbital + Environmental Data

TLEs, conjunction messages, geomagnetic activity (Kp), solar wind, debris catalogs, fuel telemetry, operator manifests.

Stage 2

Miner Task Packets

Standardized prediction tasks issued each epoch — asset, horizon, required outputs, deadline, and reward weighting.

Stage 3

Miner Predictions

Independent miner models submit predicted position, maneuver probability, SASV, PD/LGD, and confidence per task.

Stage 4

Validator Scoring

Validators score predictions on accuracy vs ground truth, calibration, signal uniqueness, timeliness, and realized economic outcome.

Stage 5

Consensus Engine

Weighted aggregation produces consensus values, disagreement metrics, and finality decisions.

Stage 6

Standardized Intelligence Outputs

SASV, Health Score, Satellite State, PD/LGD/EL, Orbital Intelligence, Cost of Capital Range, Trigger Readiness, Modeled Payout — all labeled.

Stage 7

APIs for Finance, Insurance, Operators

Financial-grade JSON delivered to lenders (SFC), insurers (Prometheus), and operators via /api/public/*.

Standardized Outputs

Five categories of financial-grade output

Asset & Valuation

Standardized values let lenders, insurers, and investors price an orbital asset on the same basis.

Standardized Aerospace Value (SASV)
Health Score
Satellite State

SASV (example)

CONSENSUS

$182.4M

Demo asset

Risk

PD, LGD and Expected Loss feed directly into loan pricing and insurance premiums.

Probability of Default
Loss Given Default
Expected Loss

PD (48 mo)

CONSENSUS

3.40%

Demo asset

Orbital Intelligence

Predicted behavior and uncertainty bounds turn raw telemetry into actuarial signal.

Predicted Position
Uncertainty Radius
Maneuver Probability
Collision & Debris Risk
Environmental Exposure

Maneuver Probability

MODELED

27%

Next 24h

Financial

Standardized financial outputs are what makes orbital assets financeable at institutional rates.

Cost of Capital Range
Debt Capacity
Mission Financeability Score

Cost of Capital

MODELED

9.2%

Range: 8.4 – 10.6%

Insurance

Trigger readiness and finality confidence let insurers underwrite parametric coverage with confidence.

Trigger Readiness
Finality Confidence
Modeled Payout Estimates

Trigger Readiness

MODELED

82 / 100

Demo policy

Truth in Labeling

METIS distinguishes between LIVE, CONSENSUS, MODELED, and MOCK outputs so users can understand whether a value is directly observed, consensus-derived, model-generated, or demo-only.

Intelligence APIs

Inspect the public JSON endpoints powering this app.

Open

Lender Workflow

See PD, LGD, Debt Capacity, and Cost of Capital flow into underwriting.

Open

Insurer Workflow

See Trigger Readiness, Finality Confidence, and Modeled Payout drive CDI.

Open