diff --git a/output/openapi/elasticsearch-openapi.json b/output/openapi/elasticsearch-openapi.json
index 89c0de231f..d461726a68 100644
--- a/output/openapi/elasticsearch-openapi.json
+++ b/output/openapi/elasticsearch-openapi.json
@@ -42581,7 +42581,7 @@
               "examples": {
                 "UpdateTransformRequestExample1": {
                   "description": "Run `POST _transform/simple-kibana-ecomm-pivot/_update` to update a transform that uses the pivot method.",
-                  "value": "{\n  \"source\": {\n    \"index\": \"kibana_sample_data_ecommerce\",\n    \"query\": {\n      \"term\": {\n        \"geoip.continent_name\": {\n          \"value\": \"Asia\"\n        }\n      }\n    }\n  },\n  \"pivot\": {\n    \"group_by\": {\n      \"customer_id\": {\n        \"terms\": {\n          \"field\": \"customer_id\",\n          \"missing_bucket\": true\n        }\n      }\n    },\n    \"aggregations\": {\n      \"max_price\": {\n        \"max\": {\n          \"field\": \"taxful_total_price\"\n        }\n      }\n    }\n  },\n  \"description\": \"Maximum priced ecommerce data by customer_id in Asia\",\n  \"dest\": {\n    \"index\": \"kibana_sample_data_ecommerce_transform1\",\n    \"pipeline\": \"add_timestamp_pipeline\"\n  },\n  \"frequency\": \"5m\",\n  \"sync\": {\n    \"time\": {\n      \"field\": \"order_date\",\n      \"delay\": \"60s\"\n    }\n  },\n  \"retention_policy\": {\n    \"time\": {\n      \"field\": \"order_date\",\n      \"max_age\": \"30d\"\n    }\n  }\n}"
+                  "value": "{\n  \"source\": {\n    \"index\": \"kibana_sample_data_ecommerce\",\n    \"query\": {\n      \"term\": {\n        \"geoip.continent_name\": {\n          \"value\": \"Asia\"\n        }\n      }\n    }\n  },\n  \"description\": \"Maximum priced ecommerce data by customer_id in Asia\",\n  \"dest\": {\n    \"index\": \"kibana_sample_data_ecommerce_transform_v2\",\n    \"pipeline\": \"add_timestamp_pipeline\"\n  },\n  \"frequency\": \"15m\",\n  \"sync\": {\n    \"time\": {\n      \"field\": \"order_date\",\n      \"delay\": \"120s\"\n    }\n  }\n}"
                 }
               }
             }
diff --git a/output/openapi/elasticsearch-serverless-openapi.json b/output/openapi/elasticsearch-serverless-openapi.json
index d0c0e5612f..cf4657f248 100644
--- a/output/openapi/elasticsearch-serverless-openapi.json
+++ b/output/openapi/elasticsearch-serverless-openapi.json
@@ -23018,7 +23018,7 @@
               "examples": {
                 "UpdateTransformRequestExample1": {
                   "description": "Run `POST _transform/simple-kibana-ecomm-pivot/_update` to update a transform that uses the pivot method.",
-                  "value": "{\n  \"source\": {\n    \"index\": \"kibana_sample_data_ecommerce\",\n    \"query\": {\n      \"term\": {\n        \"geoip.continent_name\": {\n          \"value\": \"Asia\"\n        }\n      }\n    }\n  },\n  \"pivot\": {\n    \"group_by\": {\n      \"customer_id\": {\n        \"terms\": {\n          \"field\": \"customer_id\",\n          \"missing_bucket\": true\n        }\n      }\n    },\n    \"aggregations\": {\n      \"max_price\": {\n        \"max\": {\n          \"field\": \"taxful_total_price\"\n        }\n      }\n    }\n  },\n  \"description\": \"Maximum priced ecommerce data by customer_id in Asia\",\n  \"dest\": {\n    \"index\": \"kibana_sample_data_ecommerce_transform1\",\n    \"pipeline\": \"add_timestamp_pipeline\"\n  },\n  \"frequency\": \"5m\",\n  \"sync\": {\n    \"time\": {\n      \"field\": \"order_date\",\n      \"delay\": \"60s\"\n    }\n  },\n  \"retention_policy\": {\n    \"time\": {\n      \"field\": \"order_date\",\n      \"max_age\": \"30d\"\n    }\n  }\n}"
+                  "value": "{\n  \"source\": {\n    \"index\": \"kibana_sample_data_ecommerce\",\n    \"query\": {\n      \"term\": {\n        \"geoip.continent_name\": {\n          \"value\": \"Asia\"\n        }\n      }\n    }\n  },\n  \"description\": \"Maximum priced ecommerce data by customer_id in Asia\",\n  \"dest\": {\n    \"index\": \"kibana_sample_data_ecommerce_transform_v2\",\n    \"pipeline\": \"add_timestamp_pipeline\"\n  },\n  \"frequency\": \"15m\",\n  \"sync\": {\n    \"time\": {\n      \"field\": \"order_date\",\n      \"delay\": \"120s\"\n    }\n  }\n}"
                 }
               }
             }
diff --git a/output/schema/schema.json b/output/schema/schema.json
index 01d1e0a690..01ab848c46 100644
--- a/output/schema/schema.json
+++ b/output/schema/schema.json
@@ -257411,7 +257411,7 @@
           ],
           "description": "Run `POST _transform/simple-kibana-ecomm-pivot/_update` to update a transform that uses the pivot method.",
           "method_request": "POST _transform/simple-kibana-ecomm-pivot/_update",
-          "value": "{\n  \"source\": {\n    \"index\": \"kibana_sample_data_ecommerce\",\n    \"query\": {\n      \"term\": {\n        \"geoip.continent_name\": {\n          \"value\": \"Asia\"\n        }\n      }\n    }\n  },\n  \"pivot\": {\n    \"group_by\": {\n      \"customer_id\": {\n        \"terms\": {\n          \"field\": \"customer_id\",\n          \"missing_bucket\": true\n        }\n      }\n    },\n    \"aggregations\": {\n      \"max_price\": {\n        \"max\": {\n          \"field\": \"taxful_total_price\"\n        }\n      }\n    }\n  },\n  \"description\": \"Maximum priced ecommerce data by customer_id in Asia\",\n  \"dest\": {\n    \"index\": \"kibana_sample_data_ecommerce_transform1\",\n    \"pipeline\": \"add_timestamp_pipeline\"\n  },\n  \"frequency\": \"5m\",\n  \"sync\": {\n    \"time\": {\n      \"field\": \"order_date\",\n      \"delay\": \"60s\"\n    }\n  },\n  \"retention_policy\": {\n    \"time\": {\n      \"field\": \"order_date\",\n      \"max_age\": \"30d\"\n    }\n  }\n}"
+          "value": "{\n  \"source\": {\n    \"index\": \"kibana_sample_data_ecommerce\",\n    \"query\": {\n      \"term\": {\n        \"geoip.continent_name\": {\n          \"value\": \"Asia\"\n        }\n      }\n    }\n  },\n  \"description\": \"Maximum priced ecommerce data by customer_id in Asia\",\n  \"dest\": {\n    \"index\": \"kibana_sample_data_ecommerce_transform_v2\",\n    \"pipeline\": \"add_timestamp_pipeline\"\n  },\n  \"frequency\": \"15m\",\n  \"sync\": {\n    \"time\": {\n      \"field\": \"order_date\",\n      \"delay\": \"120s\"\n    }\n  }\n}"
         }
       },
       "inherits": {
diff --git a/specification/transform/update_transform/examples/request/UpdateTransformRequestExample1.yaml b/specification/transform/update_transform/examples/request/UpdateTransformRequestExample1.yaml
index 03d19e5da9..7d3f85d99a 100644
--- a/specification/transform/update_transform/examples/request/UpdateTransformRequestExample1.yaml
+++ b/specification/transform/update_transform/examples/request/UpdateTransformRequestExample1.yaml
@@ -2,33 +2,28 @@
 method_request: POST _transform/simple-kibana-ecomm-pivot/_update
 description: Run `POST _transform/simple-kibana-ecomm-pivot/_update` to update a transform that uses the pivot method.
 # type: request
-value:
-  source:
-    index: kibana_sample_data_ecommerce
-    query:
-      term:
-        geoip.continent_name:
-          value: Asia
-  pivot:
-    group_by:
-      customer_id:
-        terms:
-          field: customer_id
-          missing_bucket: true
-    aggregations:
-      max_price:
-        max:
-          field: taxful_total_price
-  description: Maximum priced ecommerce data by customer_id in Asia
-  dest:
-    index: kibana_sample_data_ecommerce_transform1
-    pipeline: add_timestamp_pipeline
-  frequency: 5m
-  sync:
-    time:
-      field: order_date
-      delay: 60s
-  retention_policy:
-    time:
-      field: order_date
-      max_age: 30d
+value: |-
+  {
+    "source": {
+      "index": "kibana_sample_data_ecommerce",
+      "query": {
+        "term": {
+          "geoip.continent_name": {
+            "value": "Asia"
+          }
+        }
+      }
+    },
+    "description": "Maximum priced ecommerce data by customer_id in Asia",
+    "dest": {
+      "index": "kibana_sample_data_ecommerce_transform_v2",
+      "pipeline": "add_timestamp_pipeline"
+    },
+    "frequency": "15m",
+    "sync": {
+      "time": {
+        "field": "order_date",
+        "delay": "120s"
+      }
+    }
+  }