diff --git a/api/main.py b/api/main.py
index 5e9bf09..36c4e55 100644
--- a/api/main.py
+++ b/api/main.py
@@ -2,9 +2,11 @@
 
 import fastapi
 import pydantic
+import functools
 
 from rich import print
 from dotenv import load_dotenv
+from json import JSONDecodeError
 from bson.objectid import ObjectId
 from slowapi.errors import RateLimitExceeded
 from slowapi.middleware import SlowAPIMiddleware
@@ -15,6 +17,7 @@ from helpers import network
 
 import core
 import handler
+import moderation
 
 load_dotenv()
 
@@ -65,3 +68,15 @@ async def root():
 async def v1_handler(request: fastapi.Request):
     res = await handler.handle(request)
     return res
+
+@functools.lru_cache()
+@app.post('/moderate')
+async def moderate(request: fastapi.Request):
+    try:
+        prompt = await request.json()
+        prompt = prompt['text']
+    except (KeyError, JSONDecodeError):
+        return fastapi.Response(status_code=400)
+
+    result = await moderation.is_policy_violated__own_model(prompt)
+    return result or ''
diff --git a/api/moderation.py b/api/moderation.py
index 90ff384..d3e8d99 100644
--- a/api/moderation.py
+++ b/api/moderation.py
@@ -1,14 +1,9 @@
 """This module contains functions for checking if a message violates the moderation policy."""
 
-import time
 import asyncio
-import aiohttp
+import functools
 import profanity_check
 
-import proxies
-import provider_auth
-import load_balancing
-
 from typing import Union
 
 def input_to_text(inp: Union[str, list]) -> str:
@@ -27,59 +22,19 @@ def input_to_text(inp: Union[str, list]) -> str:
 
     return text
 
+@functools.lru_cache()
 async def is_policy_violated(inp: Union[str, list]) -> bool:
+    """Checks if the input violates the moderation policy.
     """
-    ### Check if a message violates the moderation policy.
-    You can either pass a list of messages consisting of dicts with "role" and "content", as used in the API parameter,
-    or just a simple string.
-    
-    Returns True if the message violates the policy, False otherwise.
-    """
-
-    text = input_to_text(inp)
-    return await is_policy_violated__own_model(text)
-
-    for _ in range(1):
-        req = await load_balancing.balance_organic_request(
-            {
-                'path': '/v1/moderations',
-                'payload': {'input': text}
-            }
-        )
-
-        async with aiohttp.ClientSession(connector=proxies.get_proxy().connector) as session:
-            try:
-                async with session.request(
-                    method=req.get('method', 'POST'),
-                    url=req['url'],
-                    data=req.get('data'),
-                    json=req.get('payload'),
-                    headers=req.get('headers'),
-                    cookies=req.get('cookies'),
-                    ssl=False,
-                    timeout=aiohttp.ClientTimeout(total=2),
-                ) as res:
-                    res.raise_for_status()
-                    json_response = await res.json()
-
-                    categories = json_response['results'][0]['category_scores']
-
-                    if json_response['results'][0]['flagged']:
-                        return max(categories, key=categories.get)
-
-                    return False
-
-            except Exception as exc:
-                if '401' in str(exc):
-                    await provider_auth.invalidate_key(req.get('provider_auth'))
-                print('[!] moderation error:', type(exc), exc)
-                continue
+    return await is_policy_violated__own_model(inp)
 
 async def is_policy_violated__own_model(inp: Union[str, list]) -> bool:
+    """Checks if the input violates the moderation policy using our own model."""
+
     inp = input_to_text(inp)
 
     if profanity_check.predict([inp])[0]:
-        return 'own model detected'
+        return 'NovaAI\'s selfhosted moderation model detected unsuitable content.'
 
     return False