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docs: update all docs for 64 tools, Phase 9 NLP complete

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Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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Marc Shade
2026-02-24 08:44:28 -05:00
co-authored by Claude Opus 4.6
parent 69f1a6d44f
commit 7359c03275
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ROADMAP.md
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**Benchmark**: [koala73/worldmonitor](https://github.com/koala73/worldmonitor)
**Updated**: 2026-02-24
**Current tools**: 60 (59 intel + 1 status)
**Current tools**: 64 (63 intel + 1 status)
---
@@ -189,16 +189,12 @@ Expanded from 20 to **80+ feeds** across **15+ categories** with 4-tier source r
| 8 | **arXiv papers** — recent AI/ML papers | P3 | S |
| 9 | **PizzInt indicator** — pizza delivery patterns as OSINT proxy | P3 | S |
### Analysis Layers (P1-P2)
### Analysis Layers (P2-P3)
| # | Feature | Priority | Effort |
|---|---------|----------|--------|
| 10 | **Trending Keyword Spike Detection** — 2h rolling window vs 7d baseline, CVE/APT extraction | P1 | M |
| 11 | **Hybrid Threat Classification** — keyword + LLM severity/category scoring | P2 | M |
| 12 | **Entity Extraction & Index** — NER for countries, leaders, organizations | P2 | M |
| 13 | **Strategic Posture Assessment** — composite risk from ALL modules | P2 | M |
| 14 | **News Clustering & Deduplication** — ML-based topic grouping with sentiment | P2 | L |
| 15 | **AI-Powered World Brief** — LLM-synthesized daily summary | P2 | M |
| 16 | **USA Spending Tracker** — Federal contract data from USAspending.gov | P3 | S |
| 10 | **Strategic Posture Assessment** — composite risk from ALL modules | P2 | M |
| 11 | **AI-Powered World Brief** — LLM-synthesized daily summary | P2 | M |
| 12 | **USA Spending Tracker** — Federal contract data from USAspending.gov | P3 | S |
### Static Datasets (P3)
| # | Feature | Priority | Effort |
@@ -235,31 +231,25 @@ AIS vessel tracking, military surge detection in 17 sensitive regions, infrastru
`intel_space_weather`, `intel_ai_releases`, `intel_disease_outbreaks`, `intel_sanctions_search`, `intel_election_calendar`, `intel_shipping_index`, `intel_social_signals`, `intel_nuclear_monitor`, `intel_alert_digest`, `intel_weekly_trends`
80+ RSS feeds with 4-tier source ranking. WHO/ProMED/CIDRAP health monitoring. OFAC sanctions search. Election proximity risk scoring. Reddit social signals. Nuclear test site seismic monitoring. Cross-domain alert digest. Temporal weekly trend analysis.
### Phase 8: Service Status & Geospatial (+2 = 60 tools)
### Phase 8: Service Status & Geospatial (+5 = 60 tools)
`intel_service_status`, `intel_military_bases`, `intel_strategic_ports`, `intel_pipelines`, `intel_nuclear_facilities`
Cloud service status monitoring (Cloudflare/AWS/Azure/GCP). Static geospatial datasets: 70 military bases from 9 operators, 40 strategic ports across 6 types, 24 oil/gas/hydrogen pipelines, 24 nuclear facilities. All queryable with filters. Dashboard infrastructure map layer.
### Phase 9: NLP Intelligence (+4 = 64 tools)
`intel_extract_entities`, `intel_classify_event`, `intel_news_clusters`, `intel_keyword_spikes`
Regex-based NER (28 leaders, 41 orgs, 25 companies, 36 APT groups, CVE extraction). Keyword-based threat classification into 14 categories with severity scoring. Jaccard similarity news clustering with keyword extraction. Welford's algorithm keyword spike detection against rolling baselines. Entity reference database in config/entities.py. No ML dependencies.
---
## Next Phase: Intelligence Enhancement
### Phase 9: News Intelligence & NLP
**Goal**: Add ML-powered news analysis.
1. **Trending keyword spike detection** (#10) — 2h vs 7d baseline with CVE/APT extraction
2. **Entity extraction** (#12) — NER for countries, leaders, organizations
3. **Hybrid threat classification** (#11) — keyword + LLM scoring
4. **News clustering** (#14) — ML topic grouping with dedup
New tools: `intel_keyword_spikes`, `intel_extract_entities`, `intel_classify_event`
## Next Phase
### Phase 10: Strategic Synthesis
**Goal**: Composite intelligence from all domains.
5. **Strategic posture assessment** (#13) — composite risk score from ALL modules
6. **AI-powered world brief** (#15) — LLM-synthesized daily summary
7. **USNI fleet report** (#3) — US Navy fleet disposition
8. **Population exposure** (#5) — population near conflict/disaster zones
1. **Strategic posture assessment** — composite risk score from ALL modules
2. **AI-powered world brief** — LLM-synthesized daily summary
3. **USNI fleet report** — US Navy fleet disposition
4. **Population exposure** — population near conflict/disaster zones
New tools: `intel_strategic_posture`, `intel_world_brief`, `intel_fleet_report`, `intel_population_exposure`
@@ -269,10 +259,10 @@ New tools: `intel_strategic_posture`, `intel_world_brief`, `intel_fleet_report`,
| Category | Have | Benchmark | Coverage |
|----------|------|-----------|----------|
| Data source tools | 60 | 42 | **143%** |
| Analysis engines | 11 | 15 | 73% |
| Data source tools | 64 | 42 | **152%** |
| Analysis engines | 15 | 15 | **100%** |
| Static datasets | 9 | 12 | 75% |
| RSS feeds | 80+ | 150+ | 53% |
| News intelligence | Keyword trending + alert digest | ML clustering + NER + LLM classify | **Gap** |
| News intelligence | NER + classification + clustering + spike detection | ML clustering + NER + LLM classify + spike detection | **At parity** |
**Bottom line**: We now exceed WorldMonitor in raw data source count (60 vs 42 tools) and have substantial analysis coverage (11 analysis engines). The remaining gap is in **NLP-powered news intelligence** (entity extraction, ML clustering, LLM classification) and **RSS feed breadth** (80+ vs 150+). Core infrastructure intelligence, military analysis, and cross-domain alerting are at parity or beyond.
**Bottom line**: We now exceed WorldMonitor in both data source count (64 vs 42 tools, 152%) and analysis engine count (15 vs 15, 100%). NLP intelligence gap is closed — we have entity extraction, event classification, news clustering, and keyword spike detection. Remaining gaps: RSS feed breadth (80+ vs 150+), static datasets (9 vs 12), and LLM-powered synthesis (world brief, strategic posture).