diff --git a/risk_matrix_scheduler_per_hour.py b/risk_matrix_scheduler_per_hour.py
new file mode 100644
index 0000000..6aa12c2
--- /dev/null
+++ b/risk_matrix_scheduler_per_hour.py
@@ -0,0 +1,116 @@
+from datetime import datetime, timedelta
+from airflow import DAG
+from airflow.providers.http.operators.http import HttpOperator
+
+# Default arguments for the DAG
+default_args = {
+    'owner': 'airflow',
+    'depends_on_past': False,
+    'email_on_failure': False,
+    'email_on_retry': False,
+    'retries': 3,
+    'retry_delay': timedelta(minutes=5),
+}
+
+# Create the DAG
+dag = DAG(
+    'hourly_api_fetch',
+    default_args=default_args,
+    description='Fetch data from multiple APIs every hour',
+    schedule_interval='@hourly',  # Run every hour
+    start_date=datetime(2025, 3, 7),
+    catchup=False,
+    tags=['api', 'hourly'],
+)
+
+# API 1 configuration
+api1_endpoint = '/risk-matrix/api/pof-predict/update/latest/'
+api1_headers = {
+    'Content-Type': 'application/json',
+    # 'Authorization': '{{ var.value.api1_token }}',  # Store this in Airflow Variables
+}
+
+# API 2 configuration
+api2_endpoint = '/risk-matrix/api/cof-predict/citra/update/latest/'
+api2_headers = {
+    'Content-Type': 'application/json',
+    # 'Authorization': '{{ var.value.api2_token }}',
+}
+
+# API 3 configuration
+api3_endpoint = '/risk-matrix/api/cof-predict/critical/mttr-update/'
+api3_headers = {
+    'Content-Type': 'application/json',
+    # 'Authorization': '{{ var.value.api3_token }}',
+}
+
+# API 4 configuration
+api4_endpoint = '/risk-matrix/api/cof-predict/losses/mdt-update/latest/'
+api4_headers = {
+    'Content-Type': 'application/json',
+    # 'Authorization': '{{ var.value.api4_token }}',
+}
+
+# API 5 configuration
+api5_endpoint = '/risk-matrix/api/nof-history/update/latest/'
+api5_headers = {
+    'Content-Type': 'application/json',
+    # 'Authorization': '{{ var.value.api5_token }}',
+}
+
+# API 1 task
+fetch_api1 = HttpOperator(
+    task_id='fetch_api1',
+    http_conn_id='backend-server',  # Set up this connection in Airflow
+    endpoint=api1_endpoint,
+    method='PATCH',
+    headers=api1_headers,
+    log_response=True,
+    dag=dag,
+)
+
+# API 2 task
+fetch_api2 = HttpOperator(
+    task_id='fetch_api2',
+    http_conn_id='backend-server',
+    endpoint=api2_endpoint,
+    method='PATCH',
+    headers=api2_headers,
+    log_response=True,
+    dag=dag,
+)
+
+# API 3 task
+fetch_api3 = HttpOperator(
+    task_id='fetch_api3',
+    http_conn_id='backend-server',
+    endpoint=api3_endpoint,
+    method='PATCH',
+    headers=api3_headers,
+    log_response=True,
+    dag=dag,
+)
+
+# API 4 task
+fetch_api4 = HttpOperator(
+    task_id='fetch_api4',
+    http_conn_id='backend-server',
+    endpoint=api4_endpoint,
+    method='PATCH',
+    headers=api4_headers,
+    log_response=True,
+    dag=dag,
+)
+
+# API 5 task
+fetch_api5 = HttpOperator(
+    task_id='fetch_api5',
+    http_conn_id='backend-server',
+    endpoint=api5_endpoint,
+    method='PATCH',
+    headers=api5_headers,
+    log_response=True,
+    dag=dag,
+)
+
+# These tasks can run in parallel since they don't depend on each other