diff --git a/ablate/blocks/figure_blocks.py b/ablate/blocks/figure_blocks.py
index c109c2f..6cc7c17 100644
--- a/ablate/blocks/figure_blocks.py
+++ b/ablate/blocks/figure_blocks.py
@@ -22,21 +22,21 @@ def build(self, runs: List[Run]) -> pd.DataFrame: ...
 class MetricPlot(AbstractFigureBlock):
     def __init__(
         self,
-        metric: AbstractMetric | List[AbstractMetric],
+        metrics: AbstractMetric | List[AbstractMetric],
         identifier: Param | None = None,
         runs: List[Run] | None = None,
     ) -> None:
         """Block for plotting metrics over time.
 
         Args:
-            metric: Metric or list of metrics to be plotted over time.
+            metrics: Metric or list of metrics to be plotted over time.
             identifier: Optional identifier for the runs. If None, the run ID is used.
                 Defaults to None.
             runs: Optional list of runs to be used for the block instead of the default
                 runs from the report. Defaults to None.
         """
         super().__init__(runs)
-        self.metrics = metric if isinstance(metric, list) else [metric]
+        self.metrics = metrics if isinstance(metrics, list) else [metrics]
         self.identifier = identifier or Id()
 
     def build(self, runs: List[Run]) -> pd.DataFrame:
diff --git a/tests/blocks/test_blocks.py b/tests/blocks/test_blocks.py
index f15185f..5b54204 100644
--- a/tests/blocks/test_blocks.py
+++ b/tests/blocks/test_blocks.py
@@ -38,9 +38,7 @@ def test_table_block() -> None:
 
 
 def test_metric_plot_single() -> None:
-    plot = MetricPlot(
-        metric=Metric("accuracy", direction="max"), identifier=Param("seed")
-    )
+    plot = MetricPlot(Metric("accuracy", direction="max"), identifier=Param("seed"))
     df = plot.build(make_runs())
     assert isinstance(df, pd.DataFrame)
     assert set(df.columns) >= {"step", "value", "metric", "run", "run_id"}
@@ -48,9 +46,7 @@ def test_metric_plot_single() -> None:
 
 
 def test_metric_plot_multi() -> None:
-    plot = MetricPlot(
-        metric=[Metric("accuracy", direction="max")], identifier=Param("seed")
-    )
+    plot = MetricPlot([Metric("accuracy", direction="max")], identifier=Param("seed"))
     df = plot.build(make_runs())
     assert isinstance(df, pd.DataFrame)
     assert all(k in df.columns for k in ["step", "value", "metric", "run"])