diff --git a/examples/future_dashboads.ipynb b/examples/future_dashboads.ipynb
index 802c4f99b3..7bf8fc503d 100644
--- a/examples/future_dashboads.ipynb
+++ b/examples/future_dashboads.ipynb
@@ -6,11 +6,14 @@
    "metadata": {
     "collapsed": true,
     "ExecuteTime": {
-     "end_time": "2025-01-03T16:03:38.786175Z",
-     "start_time": "2025-01-03T16:03:35.972155Z"
+     "end_time": "2025-01-08T13:01:54.904648Z",
+     "start_time": "2025-01-08T13:01:51.766554Z"
     }
    },
    "source": [
+    "from evidently.ui.dashboards import CounterAgg\n",
+    "from evidently.ui.dashboards import PanelValue\n",
+    "from evidently.ui.dashboards import ReportFilter\n",
     "import datetime\n",
     "import pandas as pd\n",
     "\n",
@@ -24,6 +27,7 @@
     "from evidently.future.backport import SingleValueDashboardPanel\n",
     "from evidently.future.report import Report\n",
     "from evidently.future.tests import lte\n",
+    "from evidently.ui.dashboards import DashboardPanelCounter\n",
     "from evidently.ui.workspace import Workspace\n",
     "\n",
     "def create_snapshot(i):\n",
@@ -31,9 +35,7 @@
     "    dataset = Dataset.from_pandas(\n",
     "        df,\n",
     "        data_definition=DataDefinition(\n",
-    "            {\n",
-    "                \"col\": ColumnInfo(ColumnType.Numerical),\n",
-    "            }\n",
+    "            numerical_features=[\"col\"],\n",
     "        ),\n",
     "    )\n",
     "    report = Report([MeanValue(column=\"col\", tests=[lte(4)])])\n",
@@ -55,7 +57,14 @@
     "\n",
     "    project = ws.add_project(Project(id=ZERO_UUID, name=\"test proj\"))\n",
     "\n",
-    "    project.dashboard.add_panel(SingleValueDashboardPanel(metric_id=\"mean:col\"))\n",
+    "    project.dashboard.add_panel(SingleValueDashboardPanel(metric_id=MeanValue(column=\"col\", tests=[lte(4)]).metric_id))\n",
+    "    project.dashboard.add_panel(DashboardPanelCounter(\n",
+    "        title=\"Last mean value\",\n",
+    "        agg=CounterAgg.LAST,\n",
+    "        value=PanelValue(field_path=\"value\", metric_args={\"metric.metric_id\": \"2e5caa9690281e02cf243c736d687782\"}),\n",
+    "        filter=ReportFilter(metadata_values={}, tag_values=[], include_test_suites=True),\n",
+    "    ))\n",
+    "    # project.dashboard.add_panel(SingleValueDashboardPanel(metric_id=\"mean:col\"))\n",
     "    project.save()\n",
     "\n",
     "for i in range(10):\n",
@@ -67,17 +76,17 @@
   {
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2025-01-03T16:03:38.789133Z",
-     "start_time": "2025-01-03T16:03:38.787020Z"
+     "end_time": "2025-01-08T13:01:54.911704Z",
+     "start_time": "2025-01-08T13:01:54.908667Z"
     }
    },
    "cell_type": "code",
-   "outputs": [],
-   "execution_count": 2,
    "source": [
     "# use `evidently ui` to run UI service to see project dashboard."
    ],
-   "id": "35a20fd14d577dc8"
+   "id": "35a20fd14d577dc8",
+   "outputs": [],
+   "execution_count": 2
   }
  ],
  "metadata": {
diff --git a/src/evidently/future/metric_types.py b/src/evidently/future/metric_types.py
index c02efbbe88..617a8596ac 100644
--- a/src/evidently/future/metric_types.py
+++ b/src/evidently/future/metric_types.py
@@ -369,6 +369,10 @@ def to_calculation(self) -> TCalculation:
     def get_metric_id(self) -> str:
         return self.get_fingerprint()
 
+    @property
+    def metric_id(self) -> str:
+        return self.get_fingerprint()
+
     def _default_tests(self) -> List[MetricTestProto[TResult]]:
         """
         allows to redefine default tests for metric