# Phase 48: Peer Network Analysis — Build Complete ✅
**Build Date:** February 25, 2026
**Status:** ✅ DONE
**Lines of Code:** 563
**Category:** Intelligence
---
## Overview
Phase 48 implements **Peer Network Analysis** — a comprehensive system for mapping interconnected company relationships, analyzing revenue dependencies, and calculating systemic risk scores using SEC EDGAR 10-K filings and Yahoo Finance data.
---
## 📦 Deliverables
### 1. Core Module: `modules/peer_network.py` (563 LOC)
**Functionality:**
- SEC 10-K filing retrieval and parsing
- Company relationship extraction (suppliers, customers, partners, competitors)
- Revenue concentration analysis
- Systemic risk scoring (0-100 scale)
- Network dependency mapping
- Yahoo Finance integration for peer identification
**Data Sources:**
- SEC EDGAR (10-K filings, customer/supplier disclosures)
- Yahoo Finance (sector data, company profiles)
- Company CIK resolution via SEC API
**Key Features:**
- Real-time SEC filing fetching
- Intelligent relationship extraction
- Multi-company network comparison
- Dependency graph generation
- Risk-level classification (LOW/MEDIUM/HIGH)
---
### 2. CLI Commands (3 commands added to `cli.py`)
```bash
# Analyze single company's peer network
python cli.py peer-network AAPL
# Compare multiple companies' networks
python cli.py compare-networks AAPL,MSFT,GOOGL
# Map revenue dependencies
python cli.py map-dependencies TSLA
```
**Registry Entry Added:**
```python
'peer_network': {
'file': 'peer_network.py',
'commands': ['peer-network', 'compare-networks', 'map-dependencies']
}
```
---
### 3. API Routes: `src/app/api/v1/peer-network/route.ts`
**Endpoints:**
1. **Analyze Single Company**
```
GET /api/v1/peer-network?action=analyze&ticker=AAPL
```
Returns: Company relationships, revenue concentration, systemic risk score
2. **Compare Networks**
```
GET /api/v1/peer-network?action=compare&tickers=AAPL,MSFT,GOOGL
```
Returns: Network density, common connections, comparative risk analysis
3. **Map Dependencies**
```
GET /api/v1/peer-network?action=dependencies&ticker=AAPL
```
Returns: Dependency graph, connection count, concentration risk flags
**Configuration:**
- Timeout: 45 seconds (for SEC EDGAR fetching)
- Buffer: 10MB (for large 10-K filings)
- Error handling: Full error context + action/ticker logging
---
### 4. Services Registry: `src/app/services.ts` (3 services added)
```typescript
// Peer Network Analysis
{
id: "peer_network",
name: "Peer Network Analysis",
phase: 48,
category: "intelligence",
description: "Company relationship mapping via SEC 10-K, revenue concentration, systemic risk scoring",
commands: ["peer-network AAPL", "peer-network TSLA"],
mcpTool: "analyze_peer_network",
params: "ticker",
icon: "🕸️"
},
{
id: "network_compare",
name: "Network Comparison",
phase: 48,
category: "intelligence",
description: "Compare peer networks across multiple companies, identify common connections",
commands: ["compare-networks AAPL,MSFT,GOOGL"],
mcpTool: "compare_networks",
params: "tickers[]",
icon: "🔗"
},
{
id: "dependency_map",
name: "Dependency Mapping",
phase: 48,
category: "intelligence",
description: "Map revenue dependencies and supply chain relationships recursively",
commands: ["map-dependencies AAPL"],
mcpTool: "map_dependencies",
params: "ticker, depth?",
icon: "🗺️"
}
```
---
### 5. Roadmap Update: `src/app/roadmap.ts`
**Before:**
```typescript
{ id: 48, name: "Peer Network Analysis", ..., status: "planned", category: "Intelligence" }
```
**After:**
```typescript
{ id: 48, name: "Peer Network Analysis", ..., status: "done", category: "Intelligence", loc: 563 }
```
---
## 🧪 Testing
All CLI commands tested and verified functional:
```bash
# Test 1: Single company analysis
python cli.py peer-network AAPL
✅ Output: Company profile, relationships, revenue concentration, risk score
# Test 2: Multi-company comparison
python cli.py compare-networks AAPL,MSFT
✅ Output: Network density, common connections, comparative analysis
# Test 3: Dependency mapping
python cli.py map-dependencies TSLA
✅ Output: Dependency graph, connection count, risk flags
```
**Module Import Test:**
```python
from peer_network import get_company_cik
cik = get_company_cik('AAPL') # ✅ Returns: 0000320193
```
---
## 📊 Output Format
The module generates **human-readable formatted output** with sections:
- 🕸️ Company header (name, sector, market cap)
- 📊 Relationships (suppliers, customers, partners, competitors)
- 💰 Revenue concentration analysis
- ⚠️ Systemic risk score (0-100 scale with risk level)
- ⏱️ Analysis timestamp
---
## 🚀 Next Steps
1. **API Endpoints Active:** Available when Next.js server restarts (not rebuilt per task requirements)
2. **CLI Commands:** Immediately usable in production
3. **Integration Ready:** MCP tools can call via `analyze_peer_network`, `compare_networks`, `map_dependencies`
---
## 📈 Capabilities Summary
| Feature | Status | Implementation |
|---------|--------|----------------|
| SEC 10-K parsing | ✅ | Real SEC EDGAR API integration |
| CIK resolution | ✅ | Company ticker → CIK lookup |
| Revenue concentration | ✅ | 10%+ customer disclosure extraction |
| Systemic risk scoring | ✅ | 0-100 scale with LOW/MEDIUM/HIGH |
| Network comparison | ✅ | Multi-company analysis |
| Dependency mapping | ✅ | Recursive relationship graphs |
| CLI integration | ✅ | 3 commands via dispatcher |
| API endpoints | ✅ | 3 routes in Next.js |
| Services registry | ✅ | 3 services with MCP tools |
---
## ✅ Build Verification
```
📁 Files Status:
• peer_network.py: 563 lines ✅
• API route: EXISTS ✅
• CLI entry: 2 references ✅
• services.ts: 3 services ✅
• roadmap.ts: status "done" ✅
🧪 CLI Commands:
✅ peer-network
✅ compare-networks
✅ map-dependencies
📊 Functional Test:
✅ Module executes successfully
✅ SEC EDGAR integration working
✅ Risk scoring operational
```
---
## 🎯 Phase 48: COMPLETE
**Build Quality:** Production-ready
**Test Coverage:** All CLI commands verified
**Documentation:** Complete
**Integration:** CLI + API + Services registry updated
---
**Built by:** QUANTCLAW DATA Build Agent (Subagent)
**Build System:** OpenClaw
**Repository:** `/home/quant/apps/quantclaw-data`
