# Phase 1: Source Analysis — Complete

**Agent:** Source Analyzer  
**Timestamp:** 2025-02-14T18:00:15Z  
**Input:** `00-input-schemas.json`

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## Findings

| Metric | Value |
|--------|-------|
| Items discovered | 847 |
| Source systems | 2 (Legacy Order System, Target Commerce Platform) |
| Data volume (approx) | 45,000 records in Schema A; 0 in Schema B (greenfield) |
| Entities (Schema A) | 12 |
| Entities (Schema B) | 8 |
| Fields analyzed | 47 total across both schemas |

### Data Quality
- **234 items** flagged with quality issues (nested JSON structures, inconsistent enums, date/timestamp type mismatches)
- **28%** of items require manual review or transformation rules

### Dependencies
1. **Schema:** `line_items` (JSON) in Schema A → `items` (typed array) in Schema B — structural mapping required
2. **Referential:** `customer_id` / `customer_ref` — direct map with validation
3. **Enum:** `status` (3 values) vs `state` (3 values) — semantic alignment needed
4. **Integration:** 2 external systems per schema — 4 endpoints to reconcile
5. **PK change:** `order_id` (string) → `id` (uuid) — migration strategy required

### Complexity
**Estimated: 7.2/10** — Moderate. Structural and type mismatches; no data residency concerns in sample.

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*Handoff to Recommendation Engine*