diff --git a/docs/docs-beta/docs/dagster-plus/features/insights/export-metrics.md b/docs/docs-beta/docs/dagster-plus/features/insights/export-metrics.md
index 219eee2060f41..1944b206519b8 100644
--- a/docs/docs-beta/docs/dagster-plus/features/insights/export-metrics.md
+++ b/docs/docs-beta/docs/dagster-plus/features/insights/export-metrics.md
@@ -5,3 +5,153 @@ sidebar_position: 200
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+{/* Using a GraphQL API endpoint, you can export [Dagster+ Insights](/dagster-plus/insights) metrics from your Dagster+ instance. */}
+Using a GraphQL API endpoint, you can export [Dagster+ Insights](/todo) metrics from your Dagster+ instance.
+
+{/* Refer to the [Available Insights metrics](/dagster-plus/insights#available-metrics) for a list of available metrics. */}
+Refer to the [Available Insights metrics](/todo) for a list of available metrics.
+
+## Prerequisites
+
+To complete the steps in this guide, you'll need:
+
+- A Dagster+ account
+{/* - Access to the [Dagster+ Insights feature](/dagster-plus/insights) */}
+- Access to the [Dagster+ Insights feature](/todo)
+{/* - A Dagster+ [user token](/dagster-plus/account/managing-user-agent-tokens#managing-user-tokens) */}
+- A Dagster+ [user token](/todo)
+- Your deployment-scoped Dagster+ deployment URL. For example: `dagster-university.dagster.cloud/prod`
+
+## Before you start
+
+Before you start, note that:
+
+- Metrics are currently computed once per day
+- We don't recommend frequently querying over large time ranges that may download a large amount of data. After an initial data load, we recommend loading data daily for the most recent week or less.
+
+## Using the API
+
+{/* In this example, we're using the [GraphQL Python Client](/concepts/webserver/graphql-client) to export the Dagster credits metric for all assets for September 2023: */}
+In this example, we're using the [GraphQL Python Client](/todo) to export the Dagster credits metric for all assets for September 2023:
+
+```python
+from datetime import datetime
+from dagster_graphql import DagsterGraphQLClient
+
+ASSET_METRICS_QUERY = """
+query AssetMetrics($metricName: String, $after: Float, $before: Float) {
+  reportingMetricsByAsset(
+    metricsSelector: {
+      metricName: $metricName
+      after: $after
+      before: $before
+      sortAggregationFunction: SUM
+      granularity: DAILY
+    }
+  ) {
+    __typename
+    ... on ReportingMetrics {
+      metrics {
+        values
+        entity {
+          ... on ReportingAsset {
+            assetKey {
+              path
+            }
+          }
+        }
+      }
+    }
+  }
+}
+
+"""
+
+
+def get_client():
+    url = "YOUR_ORG.dagster.cloud/prod"  # Your deployment-scoped url
+    user_token = "YOUR_TOKEN"  # A token generated from Organization Settings > Tokens
+    return DagsterGraphQLClient(url, headers={"Dagster-Cloud-Api-Token": user_token})
+
+
+if __name__ == "__main__":
+    client = get_client()
+    result = client._execute(
+        ASSET_METRICS_QUERY,
+        {
+            "metricName": "__dagster_dagster_credits",
+            "after": datetime(2023, 9, 1).timestamp(),
+            "before": datetime(2023, 10, 1).timestamp(),
+        },
+    )
+
+    for asset_series in result["reportingMetricsByAsset"]["metrics"]:
+        print("Asset key:", asset_series["entity"]["assetKey"]["path"])
+        print("Daily values:", asset_series["values"])
+
+```
+
+To use this example yourself, replace the values of `url` and `user_token` in this function:
+
+```python
+def get_client():
+    url = "YOUR_ORG.dagster.cloud/prod"  # Your deployment-scoped url
+    user_token = "YOUR_TOKEN"  # A token generated from Organization Settings > Tokens
+    return DagsterGraphQLClient(url, headers={"Dagster-Cloud-Api-Token": user_token})
+```
+
+Refer to the [Reference section](#reference) for more info about the endpoints available in the GraphQL API.
+
+## Reference
+
+For the full GraphQL API reference:
+
+1. Navigate to `YOUR_ORG.dagster.cloud/prod/graphql`, replacing `YOUR_ORG` with your organization name. For example: `https://dagster-university.dagster.cloud/prod/graphql`
+2. Click the **Schema** tab.
+
+### Available top-level queries
+
+```graphql
+reportingMetricsByJob(
+  metricsFilter: JobReportingMetricsFilter
+  metricsSelector: ReportingMetricsSelector!
+): ReportingMetricsOrError!
+
+reportingMetricsByAsset(
+  metricsFilter: AssetReportingMetricsFilter
+  metricsSelector: ReportingMetricsSelector!
+): ReportingMetricsOrError!
+
+reportingMetricsByAssetGroup(
+  metricsFilter: AssetGroupReportingMetricsFilter
+  metricsSelector: ReportingMetricsSelector!
+): ReportingMetricsOrError!
+```
+
+### Specifying metrics and time granularity
+
+Use `metricsSelector` to specify the metric name and time granularity:
+
+```graphql
+input ReportingMetricsSelector {
+  after: Float # timestamp
+  before: Float # timestamp
+  metricName: String # see below for valid values
+  granularity: ReportingMetricsGranularity
+}
+
+enum ReportingMetricsGranularity {
+  DAILY
+  WEEKLY
+  MONTHLY
+}
+
+# The valid metric names are:
+# "__dagster_dagster_credits"
+# "__dagster_execution_time_ms"
+# "__dagster_materializations"
+# "__dagster_step_failures"
+# "__dagster_step_retries"
+# "__dagster_asset_check_errors"
+# "__dagster_asset_check_warnings"
+```