Source Code

BlackSnow

Invisible Risk Exhaust → Tradable Signal Engine

BlackSnow is an economic sensor skill that ingests fragmented, low-signal, legally accessible data exhaust from multiple non-obvious domains. It applies ontology alignment, weak-signal Bayesian accumulation, and horizon forecasting to surface early risk vectors before formal events, news, or disclosures occur.

Outputs are structured for automated consumption by financial, insurance, logistics, and policy systems.

Core Capabilities

Ambient Risk Detection: Surfaces pre-event signals invisible to traditional monitoring
Weak-Signal Correlation: Connects individually meaningless data points into predictive patterns
Cross-Domain Ontology Fusion: Aligns heterogeneous inputs into unified risk primitives
Probabilistic Forecasting: Estimates outcome likelihoods and temporal windows
Tradable Signal Packaging: Converts internal risk states into sellable primitives

Non-Capabilities

❌ Insider information
❌ Sentiment analysis
❌ News aggregation
❌ Price prediction
❌ Decision execution

What BlackSnow Detects

Signals that exist weeks earlier, fragmented across obscure, low-signal sources:

Micro-Behavioral Shifts

Municipal procurement wording changes
Infrastructure maintenance deferrals
Insurance clause revisions
Supply contract force-majeure language

Operational Anomalies

Unexpected overtime tenders
Silent vendor substitutions
Emergency inventory buffering

Legal Entropy

Draft regulation language drift
Repeated consultation extensions
Committee member attendance decay

Human System Stress

Attrition spikes in critical roles
Hiring freezes masked as "role realignment"
Union grievance language tone shifts

Output Schema

{
  "risk_vector": "infra.energy.grid",
  "signal_confidence": 0.87,
  "time_horizon_days": "21-45",
  "contributing_domains": ["procurement", "maintenance", "labor"],
  "likely_outcomes": [
    "localized outage",
    "price volatility",
    "policy intervention"
  ],
  "tradability": {
    "insurance": true,
    "commodities": true,
    "logistics": true,
    "policy": false
  }
}

Agents

Agent	Role	Description
`harvester`	Ingestion	Collects obscure, legally accessible data exhaust from approved domains
`normalizer`	Semantic Alignment	Maps heterogeneous inputs into a unified risk ontology
`accumulator`	Probabilistic Reasoning	Performs Bayesian evidence accumulation over time
`forecaster`	Horizon Modeling	Estimates outcome likelihoods and temporal windows
`packager`	Monetization Interface	Converts internal risk states into sellable signal primitives

Data Sources

Allowed

Public procurement notices
Regulatory draft documents
Contract language revisions
Maintenance and tender logs
Labor and union filings
Hiring and attrition metadata
Inventory and logistics metadata

Forbidden

Private communications
Leaked documents
Paywalled sources without license
Personal identifiable information

Monetization Tiers

Tier	Access	Price
Observer	Aggregated heatmaps	$99/mo
Operator	Raw risk vectors	$1,500/mo
Fund/API	Real-time streaming signals	$10k–50k/mo
Sovereign	Custom domains & exclusivity	$250k+/yr

Add-ons

Region exclusivity
Early-signal SLA
Historical backtesting
Compliance attestation

Integration

Compatible skills:

tradebot
hedgecore
logistics-router
policy-simulator

Chaining mode: async

Constraints

Legal

GDPR compliant
No personal data storage
No market manipulation intent

Ethical

No targeted individual profiling
No civilian harm forecasting

Operational

Explainability not guaranteed
Probabilistic outputs only

Risk Disclaimer

BlackSnow provides probabilistic risk intelligence, not predictions or advice. Users are solely responsible for downstream decisions and compliance.

Status

Deployment: Sandbox
Onboarding: Gated
Audit Required: Yes

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