blacksnow

name	blacksnow
description	Detects pre-news ambient risk signals across human, legal, and operational systems and converts them into machine-readable, tradable risk primitives.

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