# Grayline Intelligence — Gray Zone Threat Intelligence Platform > Structured OSINT dataset tracking threats to U.S. interests arising from geopolitical escalation and gray zone activity. **Grayline Intelligence** is a product of Spectra Intel Group (SIG). ## About Grayline Intelligence identifies, classifies, and analyzes threats to U.S. interests through systematic OSINT monitoring, AI-assisted extraction, and analyst-reviewed classification. Source articles are submitted as URLs; a large language model extracts structured data fields; records are stored in a relational database and displayed publicly. **Organization:** Spectra Intel Group **Contact:** [pending] **Data access:** Public (read). Write access requires authentication. ## Pages - [https://graylineintel.com/tracker/](Incident database) — Full list of tracked incidents with structured attributes, source links, and confidence scores. - [https://graylineintel.com/tracker/map/](Map & Analysis) — Interactive Leaflet map of geocoded incidents and AI-generated pattern analysis (geographic clustering, ideology, methods). - [https://graylineintel.com/tracker/methodology/](Methodology) — How incidents are identified, extracted, classified, and documented. ## Data API The incident database is available as a machine-readable JSON endpoint: **GET** `https://graylineintel.com/tracker/api/entries/` Returns a JSON array of all incidents with confirmed geocoordinates. Each object includes: ```json { "id": 1, "name": "Short descriptive incident name", "date": "YYYY-MM-DD", "location": "City, State", "method": "Primary attack method", "threat_type": "terrorism | criminal | hybrid | unknown", "classification": "Confirmed | Under Investigation | Thwarted", "killed": 0, "injured": 0, "intent": "mass_casualty | targeted | symbolic | unknown", "confidence": 0.85, "lat": 32.7767, "lng": -96.7970, "threat_level": "CRITICAL | HIGH | MEDIUM | LOW" } ``` **Threat level logic:** - CRITICAL: confidence ≥ 0.92 AND intent = mass_casualty - HIGH: confidence ≥ 0.80 OR intent = mass_casualty - MEDIUM: confidence ≥ 0.60 - LOW: all other cases ## Data Schema Each incident record includes the following fields: | Field | Type | Description | |-------|------|-------------| | date | ISO 8601 date | Date of the incident or disruption | | name | string | Concise descriptive label (max 80 chars) | | location | string | City, State — specific venue if known | | method | string | Primary attack method | | attribution | string | Ideological group or affiliation | | classification | enum | Confirmed / Under Investigation / Thwarted | | killed | integer | Confirmed fatalities | | injured | integer | Confirmed injuries | | source_type | enum | Government / Media / Government + Media / Academic | | threat_type | enum | terrorism / criminal / hybrid / unknown | | target_type | enum | crowd / campus / religious / government / infrastructure / commercial / residential | | intent | enum | mass_casualty / targeted / symbolic / unknown | | success | enum | completed / failed / thwarted / unknown | | confidence | float 0–1 | Source quality score | | notes | string[] | Key factual points from source | | sources | object[] | Source URLs with labels | | lat / lng | float | Decimal-degree coordinates | ## Methodology Notes - All data is OSINT-derived. Records should be treated as open-source research, not finished intelligence assessments. - Confidence scores reflect source quality (government press releases → ~0.90+, single media outlets → 0.60–0.84). - Attribution reflects open-source reporting only. Legal conclusions may change as investigations develop. - Pattern analysis is regenerated by an LLM after every database write.