diff --git a/docs/my-website/docs/proxy/metrics.md b/docs/my-website/docs/proxy/metrics.md
index d113ff6fb..5b839dbd4 100644
--- a/docs/my-website/docs/proxy/metrics.md
+++ b/docs/my-website/docs/proxy/metrics.md
@@ -3,30 +3,37 @@
 ## Response format 
 ```json
 [
-    {
-        "daily_spend": 7.9261938052047e+16,
-        "day": "2024-02-01T00:00:00",
-        "spend_per_model": {"azure/gpt-4": 7.9261938052047e+16},
-        "spend_per_api_key": {
-            "76": 914495704992000.0,
-            "12": 905726697912000.0,
-            "71": 866312628003000.0,
-            "28": 865461799332000.0,
-            "13": 859151538396000.0
+    daily_spend = [
+        {
+            "daily_spend": 7.9261938052047e+16,
+            "day": "2024-02-01T00:00:00",
+            "spend_per_model": {"azure/gpt-4": 7.9261938052047e+16},
+            "spend_per_api_key": {
+                "76": 914495704992000.0,
+                "12": 905726697912000.0,
+                "71": 866312628003000.0,
+                "28": 865461799332000.0,
+                "13": 859151538396000.0
+            }
+        },
+        {
+            "daily_spend": 7.938489251309491e+16,
+            "day": "2024-02-02T00:00:00",
+            "spend_per_model": {"gpt-3.5": 7.938489251309491e+16},
+            "spend_per_api_key": {
+                "91": 896805036036000.0,
+                "78": 889692646082000.0,
+                "49": 885386687861000.0,
+                "28": 873869890984000.0,
+                "56": 867398637692000.0
+            }
         }
-    },
-    {
-        "daily_spend": 7.938489251309491e+16,
-        "day": "2024-02-02T00:00:00",
-        "spend_per_model": {"gpt-3.5": 7.938489251309491e+16},
-        "spend_per_api_key": {
-            "91": 896805036036000.0,
-            "78": 889692646082000.0,
-            "49": 885386687861000.0,
-            "28": 873869890984000.0,
-            "56": 867398637692000.0
-        }
-    }
+
+    ],
+    total_spend = 200,
+    top_models = {"gpt4": 0.2, "vertexai/gemini-pro":10},
+    top_api_keys = {"899922": 0.9, "838hcjd999seerr88": 20}
+
 ]
 
 ```
\ No newline at end of file
diff --git a/litellm/integrations/clickhouse.py b/litellm/integrations/clickhouse.py
index 700423664..55eaaa090 100644
--- a/litellm/integrations/clickhouse.py
+++ b/litellm/integrations/clickhouse.py
@@ -62,7 +62,6 @@ def build_daily_metrics():
     )
 
     # get daily spend per model
-
     daily_spend_per_model = click_house_client.query_df(
         """
         SELECT sumMerge(DailySpend) as daily_spend, day, model FROM daily_aggregated_spend_per_model GROUP BY day, model
@@ -82,6 +81,7 @@ def build_daily_metrics():
 
     # Display the resulting dictionary
 
+    # get daily spend per API key
     daily_spend_per_api_key = click_house_client.query_df(
         """
             SELECT
@@ -122,6 +122,23 @@ def build_daily_metrics():
 
     # Display the resulting dictionary
 
+    # Calculate total spend across all days
+    total_spend = daily_spend["daily_spend"].sum()
+
+    # Identify top models and top API keys with the highest spend across all days
+    top_models = {}
+    top_api_keys = {}
+
+    for day, spend_per_model in result_dict.items():
+        for model, model_spend in spend_per_model.items():
+            if model not in top_models or model_spend > top_models[model]:
+                top_models[model] = model_spend
+
+    for day, spend_per_api_key in api_key_result_dict.items():
+        for api_key, api_key_spend in spend_per_api_key.items():
+            if api_key not in top_api_keys or api_key_spend > top_api_keys[api_key]:
+                top_api_keys[api_key] = api_key_spend
+
     # for each day in daily spend, look up the day in result_dict and api_key_result_dict
     # Assuming daily_spend DataFrame has 'day' column
     result = []
@@ -143,8 +160,16 @@ def build_daily_metrics():
 
         result.append(data_day)
 
-    # print("FINAL daily metric", result)
-    return result
+    data_to_return = {}
+    data_to_return["daily_spend"] = result
+
+    data_to_return["total_spend"] = total_spend
+    data_to_return["top_models"] = top_models
+    data_to_return["top_api_keys"] = top_api_keys
+    return data_to_return
+
+
+# build_daily_metrics()
 
 
 def _create_clickhouse_material_views(client=None, table_names=[]):