Add: Return outlier deals in analysis responses

Feature:
- New parameter `include_outlier_deals` (default=True) in:  - filter_deals_for_analysis()
  - calculate_deal_statistics()
  - get_valuation_comparables() MCP tool
  - get_deal_statistics() MCP tool

Behavior:
- When ON: response includes `outlier_deals` field with removed deals
- LLM can see what was filtered out, answer questions about it
- Maintains full transparency on outlier removal

Terminology fixed:
- "outlier_deals" = deals removed as outliers (clearer than "filtered_deals")
- "filtered deals" = deals that PASSED filtering
- Added to OutlierReport model

All 311 tests pass

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

nadlan_mcp/govmap/client.py

@@ -874,7 +874,10 @@ class GovmapClient:
 
     # Statistics methods (delegate to statistics module)
     def calculate_deal_statistics(
-        self, deals: List[Deal], iqr_multiplier: Optional[float] = None
+        self,
+        deals: List[Deal],
+        iqr_multiplier: Optional[float] = None,
+        include_outlier_deals: bool = True,
     ) -> DealStatistics:
         """
         Calculate statistical aggregations on deal data.
@@ -884,11 +887,14 @@ class GovmapClient:
         Args:
             deals: List of Deal model instances
             iqr_multiplier: Override IQR multiplier for outlier detection (optional)
+            include_outlier_deals: If True (default), include removed outliers in report
 
         Returns:
             DealStatistics model with comprehensive metrics
         """
-        return statistics.calculate_deal_statistics(deals, iqr_multiplier=iqr_multiplier)
+        return statistics.calculate_deal_statistics(
+            deals, iqr_multiplier=iqr_multiplier, include_outlier_deals=include_outlier_deals
+        )
 
     def _calculate_std_dev(self, values: List[float]) -> float:
         """