diff --git a/forge/helicone_data.py b/forge/helicone_data.py
deleted file mode 100644
index a1302be6..00000000
--- a/forge/helicone_data.py
+++ /dev/null
@@ -1,71 +0,0 @@
-from gql.transport.aiohttp import AIOHTTPTransport
-from gql import gql, Client
-import os
-
-helicone_api_key = os.getenv('HELICONE_API_KEY')
-
-url = "https://www.helicone.ai/api/graphql"
-# Replace <KEY> with your personal access key
-transport = AIOHTTPTransport(url=url, headers={
-    "authorization": f"Bearer {helicone_api_key}"
-})
-
-client = Client(transport=transport, fetch_schema_from_transport=True)
-
-MAX_LOOPS = 10
-SIZE = 100
-import pandas as pd
-
-data = []
-
-for i in range(MAX_LOOPS):
-    query = gql(
-        """
-        query ExampleQuery($limit: Int, $offset: Int){
-            heliconeRequest(
-                limit: $limit
-                offset: $offset
-            ) {
-                prompt
-                properties{
-                    name
-                    value
-                }
-                
-                requestBody
-                response
-                createdAt
-
-            }
-
-            }
-    """
-    )
-    result = client.execute(query,
-                            variable_values={
-                                "limit": SIZE,
-                                "offset": i * SIZE
-                            }
-                            )
-
-    for item in result["heliconeRequest"]:
-        properties = {prop['name']: prop['value'] for prop in item['properties']}
-        data.append({
-            'createdAt': item['createdAt'],
-            'agent': properties.get('agent'),
-            'job_id': properties.get('job_id'),
-            'challenge': properties.get('challenge'),
-            'benchmark_start_time': properties.get('benchmark_start_time'),
-            'prompt': item['prompt'],
-            'model': item['requestBody'].get('model'),
-            'request': item['requestBody'].get('messages'),
-        })
-
-    if (len(result["heliconeRequest"]) == 0):
-        print("No more results")
-        break
-
-df = pd.DataFrame(data)
-import IPython
-IPython.embed()
-print(df.head())
\ No newline at end of file