diff --git a/tools/adaptive-isogrid/src/nx/extract_sandbox.py b/tools/adaptive-isogrid/src/nx/extract_sandbox.py
index b5291106..29b30129 100644
--- a/tools/adaptive-isogrid/src/nx/extract_sandbox.py
+++ b/tools/adaptive-isogrid/src/nx/extract_sandbox.py
@@ -116,6 +116,42 @@ class EdgeSegment:
 # NX edge analysis — extract type + arc parameters
 # ---------------------------------------------------------------------------
 
+def _parse_eval_result(result: Any) -> Point3D | None:
+    """Parse NX UF EvaluateUnitVectors return into a 3D point.
+    
+    Handles multiple NX Python return formats:
+      - NXOpen.Point3d with .X/.Y/.Z attrs
+      - Tuple/list of (point_obj, tangent_obj, ...)
+      - Nested numeric tuples ((x,y,z), (tx,ty,tz), ...)
+      - Flat numeric list [x,y,z,tx,ty,tz,...]
+    """
+    # Direct Point3d-like object
+    if hasattr(result, 'X') and hasattr(result, 'Y') and hasattr(result, 'Z'):
+        return (float(result.X), float(result.Y), float(result.Z))
+
+    if isinstance(result, (list, tuple)):
+        # Check if first 3 elements are all numeric (flat array)
+        if len(result) >= 3 and all(isinstance(v, (int, float)) for v in result[:3]):
+            return (float(result[0]), float(result[1]), float(result[2]))
+
+        # Check first element — could be a point object or sub-list
+        if len(result) >= 1:
+            first = result[0]
+            # Point3d-like object
+            if hasattr(first, 'X') and hasattr(first, 'Y') and hasattr(first, 'Z'):
+                return (float(first.X), float(first.Y), float(first.Z))
+            # Sub-list/tuple of 3 numbers
+            if isinstance(first, (list, tuple)) and len(first) >= 3:
+                if all(isinstance(v, (int, float)) for v in first[:3]):
+                    return (float(first[0]), float(first[1]), float(first[2]))
+            # Recurse into first element
+            parsed = _parse_eval_result(first)
+            if parsed is not None:
+                return parsed
+
+    return None
+
+
 def _analyze_edge(edge: Any, lister: Any = None) -> EdgeSegment:
     """
     Analyze an NX edge and return a typed EdgeSegment.
@@ -137,13 +173,18 @@ def _analyze_edge(edge: Any, lister: Any = None) -> EdgeSegment:
 
     # Classify edge type
     edge_type_str = "?"
+    edge_type_val = None
     try:
-        edge_type_str = str(edge.SolidEdgeType)
+        edge_type_val = edge.SolidEdgeType
+        edge_type_str = str(edge_type_val)
     except Exception:
         pass
 
-    is_linear = "Linear" in edge_type_str
-    is_circular = "Circular" in edge_type_str
+    # NX returns either enum name ("Linear") or integer (1=linear, 2=circular, etc.)
+    is_linear = ("Linear" in edge_type_str or edge_type_val == 1
+                 or edge_type_str == "1")
+    is_circular = ("Circular" in edge_type_str or edge_type_val == 2
+                   or edge_type_str == "2")
 
     # Linear edges — simple
     if is_linear:
@@ -198,15 +239,12 @@ def _analyze_edge(edge: Any, lister: Any = None) -> EdgeSegment:
                         limits = eval_obj.AskLimits(evaluator)
                         t_mid = (float(limits[0]) + float(limits[1])) / 2.0
                         result = eval_obj.EvaluateUnitVectors(evaluator, t_mid)
-                        # Parse point from result
-                        if hasattr(result, '__len__') and len(result) >= 1:
-                            item = result[0] if hasattr(result[0], 'X') else result
-                            if hasattr(item, 'X'):
-                                mid_pt = (float(item.X), float(item.Y), float(item.Z))
-                            elif isinstance(item, (list, tuple)) and len(item) >= 3:
-                                mid_pt = (float(item[0]), float(item[1]), float(item[2]))
-                        if mid_pt is None and hasattr(result, 'X'):
-                            mid_pt = (float(result.X), float(result.Y), float(result.Z))
+                        # Parse point from result — multiple possible formats:
+                        # 1) NXOpen.Point3d with .X/.Y/.Z
+                        # 2) Tuple of (point, tangent, ...) where point has .X/.Y/.Z
+                        # 3) Nested lists/tuples like ((x,y,z), (tx,ty,tz), ...)
+                        # 4) Flat list [x,y,z,tx,ty,tz,...]
+                        mid_pt = _parse_eval_result(result)
                     except Exception as exc2:
                         _log(f"[edge] Arc midpoint sampling failed: {exc2}")