diff --git a/src/everest/detached/__init__.py b/src/everest/detached/__init__.py
index 1ed1ad63ae1..dbc777af013 100644
--- a/src/everest/detached/__init__.py
+++ b/src/everest/detached/__init__.py
@@ -136,30 +136,46 @@ def wait_for_server(output_dir: str, timeout: int) -> None:
 def get_opt_status(output_folder):
     """Retrieve a seba database snapshot and return a dictionary with
     optimization information."""
-    if not os.listdir(output_folder):
+    if not Path(output_folder).exists() or not os.listdir(output_folder):
         return {}
 
     storage = EverestStorage(Path(output_folder))
-    storage.read_from_output_dir()
+    try:
+        storage.read_from_output_dir()
+    except FileNotFoundError:
+        # Optimization output dir exists and not empty, but still missing
+        # actual stored results
+        return {}
 
     objective_names = storage.data.objective_functions["objective_name"].to_list()
     control_names = storage.data.controls["control_name"].to_list()
 
     expected_objectives = polars.concat(
-        [b.batch_objectives.select(objective_names) for b in storage.data.batches]
+        [
+            b.batch_objectives.select(objective_names)
+            for b in storage.data.batches
+            if b.batch_objectives is not None
+        ]
     ).to_dict(as_series=False)
 
     expected_total_objective = [
-        b.batch_objectives["total_objective_value"].item() for b in storage.data.batches
+        b.batch_objectives["total_objective_value"].item()
+        for b in storage.data.batches
+        if b.batch_objectives is not None
     ]
 
     improvement_batches = [b.batch_id for b in storage.data.batches if b.is_improvement]
 
     cli_monitor_data = {
-        "batches": [b.batch_id for b in storage.data.batches],
+        "batches": [
+            b.batch_id
+            for b in storage.data.batches
+            if b.realization_controls is not None and b.batch_objectives is not None
+        ],
         "controls": [
             b.realization_controls.select(control_names).to_dicts()[0]
             for b in storage.data.batches
+            if b.realization_controls is not None
         ],
         "objective_value": expected_total_objective,
         "expected_objectives": expected_objectives,
@@ -168,7 +184,11 @@ def get_opt_status(output_folder):
     return {
         "objective_history": expected_total_objective,
         "control_history": polars.concat(
-            [b.realization_controls.select(control_names) for b in storage.data.batches]
+            [
+                b.realization_controls.select(control_names)
+                for b in storage.data.batches
+                if b.realization_controls is not None
+            ]
         ).to_dict(as_series=False),
         "objectives_history": expected_objectives,
         "accepted_control_indices": improvement_batches,