diff --git a/README.md b/README.md
index 193ce11..a36d863 100644
--- a/README.md
+++ b/README.md
@@ -2680,6 +2680,46 @@ if __name__ == '__main__':
   cv2.imwrite(RESULT_IMAGE_FILE_PATH, img)
 ```
 
+## Model Monitoring
+### Create Request Results
+You can integrate the results of model endpoint calls, 
+which are targeted for aggregation in model monitoring, from an external source.
+
+
+```python
+from datetime import datetime
+import pytz
+import fastlabel
+client = fastlabel.Client()
+
+jst = pytz.timezone("Asia/Tokyo")
+dt_jst = datetime(2023, 5, 8, 12, 10, 53, tzinfo=jst)
+
+client.create_model_monitoring_request_results(
+    name="model-monitoring-name",  # The name of your model monitoring name
+    results=[
+        {
+            "status": "success",  # success or failed
+            "result": [
+                {
+                    "annotationIndex": 0,  # The index of the inference class returned by your model
+                    "value": "person",  # The value of the inference class returned by your model
+                    "points": [
+                        12.98,
+                        23.84,
+                        140.83,
+                        165.82,
+                    ],  # [x_min, y_min, x_max,y_max]
+                    "confidenceScore": 0.92,  # 0 ~ 1
+                }
+            ],
+            "resultSchema": "object_detection_base",  # Currently, only 'object_detection_base' can be selected.
+            "requestAt": dt_jst.isoformat(),  # The time when your endpoint accepted the request
+        }
+    ],
+)
+```
+
 ## API Docs
 
 Check [this](https://api.fastlabel.ai/docs/) for further information.
diff --git a/fastlabel/__init__.py b/fastlabel/__init__.py
index 8f2e4cc..58b8edd 100644
--- a/fastlabel/__init__.py
+++ b/fastlabel/__init__.py
@@ -3633,3 +3633,19 @@ def execute_endpoint(
             "file": utils.base64_encode(file_path),
         }
         return self.api.post_request(endpoint, payload=payload)
+
+    def create_model_monitoring_request_results(
+        self,
+        name: str,
+        results: list = [],
+    ) -> str:
+        """
+        Create model monitoring request results.
+        name is an unique identifier of model monitoring setting in your workspace (Required).
+        results is a list of request result to be set (Required).
+        """
+        endpoint = "model-monitorings/create"
+
+        payload = {"name": name, "results": results}
+
+        return self.api.post_request(endpoint, payload=payload)