diff --git a/python/lsst/analysis/tools/actions/scalar/scalarActions.py b/python/lsst/analysis/tools/actions/scalar/scalarActions.py
index 089ac1251..0f49e0e77 100644
--- a/python/lsst/analysis/tools/actions/scalar/scalarActions.py
+++ b/python/lsst/analysis/tools/actions/scalar/scalarActions.py
@@ -33,6 +33,7 @@
     "FracThreshold",
     "MaxAction",
     "MinAction",
+    "FullRangeAction",
     "FracInRange",
     "FracNan",
     "SumAction",
@@ -284,6 +285,16 @@ def __call__(self, data: KeyedData, **kwargs) -> Scalar:
         return nanMin(_dataToArray(data[self.vectorKey.format(**kwargs)])[mask])
 
 
+class FullRangeAction(ScalarFromVectorAction):
+    """Returns the full range (i.e., max-min) of the given data."""
+
+    def __call__(self, data: KeyedData, **kwargs) -> Scalar:
+        mask = self.getMask(**kwargs)
+        return nanMax(_dataToArray(data[self.vectorKey.format(**kwargs)][mask])) - nanMin(
+            _dataToArray(data[self.vectorKey.format(**kwargs)][mask])
+        )
+
+
 class FracInRange(ScalarFromVectorAction):
     """Compute the fraction of a distribution that is between specified
     minimum and maximum values, and is not NaN.
diff --git a/python/lsst/analysis/tools/atools/__init__.py b/python/lsst/analysis/tools/atools/__init__.py
index f341ff294..926d30a88 100644
--- a/python/lsst/analysis/tools/atools/__init__.py
+++ b/python/lsst/analysis/tools/atools/__init__.py
@@ -1,5 +1,6 @@
 from .amplifierCorrelation import *
 from .astrometricRepeatability import *
+from .astrometryMetrics import *
 from .calexpMetrics import *
 from .calibQuantityProfile import *
 from .calibration import *
diff --git a/python/lsst/analysis/tools/atools/astrometryMetrics.py b/python/lsst/analysis/tools/atools/astrometryMetrics.py
new file mode 100644
index 000000000..8c0b7a77d
--- /dev/null
+++ b/python/lsst/analysis/tools/atools/astrometryMetrics.py
@@ -0,0 +1,89 @@
+# This file is part of analysis_tools.
+#
+# Developed for the LSST Data Management System.
+# This product includes software developed by the LSST Project
+# (https://www.lsst.org).
+# See the COPYRIGHT file at the top-level directory of this distribution
+# for details of code ownership.
+#
+# This program is free software: you can redistribute it and/or modify
+# it under the terms of the GNU General Public License as published by
+# the Free Software Foundation, either version 3 of the License, or
+# (at your option) any later version.
+#
+# This program is distributed in the hope that it will be useful,
+# but WITHOUT ANY WARRANTY; without even the implied warranty of
+# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+# GNU General Public License for more details.
+#
+# You should have received a copy of the GNU General Public License
+# along with this program.  If not, see <https://www.gnu.org/licenses/>.
+
+from ..actions.scalar import (
+    FullRangeAction,
+    MaxAction,
+    MeanAction,
+    MedianAction,
+    MinAction,
+    SigmaMadAction,
+    StdevAction,
+)
+from ..actions.vector import AngularSeparation, DivideVector
+from ..interfaces import AnalysisTool
+
+__all__ = ("AstrometryStatistics",)
+
+
+class AstrometryStatistics(AnalysisTool):
+    """Calculate astrometry metrics from the visit_summary table."""
+
+    def setDefaults(self):
+        super().setDefaults()
+
+        self.process.buildActions.cornersep = AngularSeparation(
+            raKey_A="raCorners_0",
+            decKey_A="decCorners_0",
+            raKey_B="raCorners_2",
+            decKey_B="decCorners_2",
+            outputUnit="arcminute",
+        )
+        self.process.buildActions.ratio = DivideVector()
+        self.process.buildActions.ratio.actionA = AngularSeparation(
+            raKey_A="raCorners_0",
+            decKey_A="decCorners_0",
+            raKey_B="raCorners_2",
+            decKey_B="decCorners_2",
+            outputUnit="arcminute",
+        )
+        self.process.buildActions.ratio.actionB = AngularSeparation(
+            raKey_A="raCorners_1",
+            decKey_A="decCorners_1",
+            raKey_B="raCorners_3",
+            decKey_B="decCorners_3",
+            outputUnit="arcminute",
+        )
+
+        self.process.calculateActions.minCornerSeparation = MinAction(vectorKey="cornersep")
+        self.process.calculateActions.maxCornerSeparation = MaxAction(vectorKey="cornersep")
+        self.process.calculateActions.minCornerSeparationRatio = MinAction(vectorKey="ratio")
+        self.process.calculateActions.maxCornerSeparationRatio = MaxAction(vectorKey="ratio")
+        self.process.calculateActions.minPixelScale = MinAction(vectorKey="pixelScale")
+        self.process.calculateActions.maxPixelScale = MaxAction(vectorKey="pixelScale")
+        self.process.calculateActions.fullRangePixelScale = FullRangeAction(vectorKey="pixelScale")
+        self.process.calculateActions.medianPixelScale = MedianAction(vectorKey="pixelScale")
+        self.process.calculateActions.sigmaMADPixelScale = SigmaMadAction(vectorKey="pixelScale")
+        self.process.calculateActions.meanPixelScale = MeanAction(vectorKey="pixelScale")
+        self.process.calculateActions.stdevPixelScale = StdevAction(vectorKey="pixelScale")
+
+        self.produce.metric.units = {
+            "minCornerSeparation": "arcmin",
+            "maxCornerSeparation": "arcmin",
+            "minCornerSeparationRatio": "",
+            "maxCornerSeparationRatio": "",
+            "minPixelScale": "arcsec",
+            "maxPixelScale": "arcsec",
+            "medianPixelScale": "arcsec",
+            "sigmaMADPixelScale": "arcsec",
+            "meanPixelScale": "arcsec",
+            "stdevPixelScale": "arcsec",
+        }
diff --git a/python/lsst/analysis/tools/tasks/__init__.py b/python/lsst/analysis/tools/tasks/__init__.py
index 5d33cd197..469172885 100644
--- a/python/lsst/analysis/tools/tasks/__init__.py
+++ b/python/lsst/analysis/tools/tasks/__init__.py
@@ -19,6 +19,7 @@
 from .diffimTaskDetectorVisitMetricsAnalysis import *
 from .diffimTaskDetectorVisitSpatiallySampledAnalysis import *
 from .diffMatchedAnalysis import *
+from .exposureCatalogAnalysis import *
 from .gatherResourceUsage import *
 from .injectedObjectAnalysis import *
 from .makeMetricTable import *
diff --git a/python/lsst/analysis/tools/tasks/exposureCatalogAnalysis.py b/python/lsst/analysis/tools/tasks/exposureCatalogAnalysis.py
new file mode 100644
index 000000000..9df6a0e19
--- /dev/null
+++ b/python/lsst/analysis/tools/tasks/exposureCatalogAnalysis.py
@@ -0,0 +1,120 @@
+# This file is part of analysis_tools.
+#
+# Developed for the LSST Data Management System.
+# This product includes software developed by the LSST Project
+# (https://www.lsst.org).
+# See the COPYRIGHT file at the top-level directory of this distribution
+# for details of code ownership.
+#
+# This program is free software: you can redistribute it and/or modify
+# it under the terms of the GNU General Public License as published by
+# the Free Software Foundation, either version 3 of the License, or
+# (at your option) any later version.
+#
+# This program is distributed in the hope that it will be useful,
+# but WITHOUT ANY WARRANTY; without even the implied warranty of
+# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+# GNU General Public License for more details.
+#
+# You should have received a copy of the GNU General Public License
+# along with this program.  If not, see <https://www.gnu.org/licenses/>.
+from __future__ import annotations
+
+__all__ = ("ExposureCatalogAnalysisConfig", "ExposureCatalogAnalysisTask")
+
+import numpy as np
+from astropy.table import Column
+
+from lsst.pex.config import Field, ListField
+from lsst.pipe.base import connectionTypes as cT
+from lsst.skymap import BaseSkyMap
+
+from ..interfaces import AnalysisBaseConfig, AnalysisBaseConnections, AnalysisPipelineTask
+
+
+class ExposureCatalogAnalysisConnections(
+    AnalysisBaseConnections,
+    dimensions=(),
+    defaultTemplates={"inputName": ""},
+):
+    data = cT.Input(
+        doc="Exposure Catalog to analyze.",
+        name="{inputName}",
+        storageClass="ExposureCatalog",
+        dimensions=(),
+        deferLoad=True,
+    )
+
+    skymap = cT.Input(
+        doc="The skymap that covers the tract that the data is from.",
+        name=BaseSkyMap.SKYMAP_DATASET_TYPE_NAME,
+        storageClass="SkyMap",
+        dimensions=("skymap",),
+    )
+
+    camera = cT.PrerequisiteInput(
+        doc="Input camera to use for focal plane geometry.",
+        name="camera",
+        storageClass="Camera",
+        dimensions=("instrument",),
+        isCalibration=True,
+    )
+
+    def __init__(self, *, config=None):
+        super().__init__(config=config)
+
+        self.data = cT.Input(
+            doc=self.data.doc,
+            name=self.data.name,
+            storageClass=self.data.storageClass,
+            deferLoad=self.data.deferLoad,
+            dimensions=frozenset(sorted(config.inputTableDimensions)),
+            multiple=self.data.multiple,
+        )
+
+        self.dimensions.update(frozenset(sorted(config.taskDimensions)))
+
+        if not config.loadSkymap:
+            del self.skymap
+        if not config.loadCamera:
+            del self.camera
+
+
+class ExposureCatalogAnalysisConfig(
+    AnalysisBaseConfig, pipelineConnections=ExposureCatalogAnalysisConnections
+):
+
+    inputTableDimensions = ListField[str](doc="Dimensions of the input table.", optional=False)
+
+    taskDimensions = ListField[str](doc="Task and output dimensions.", optional=False)
+
+    loadSkymap = Field[bool](doc="Whether to load the skymap.", default=False)
+
+    loadCamera = Field[bool](doc="Whether to load the camera.", default=False)
+
+
+class ExposureCatalogAnalysisTask(AnalysisPipelineTask):
+    """An ``AnalysisPipelineTask`` that loads an ExposureCatalog passes it
+    to the atools for analysis.
+
+    It will also pass the ``camera`` and ``skyMap`` inputs to the parent run
+    methods if these are requested by the config parameters.
+    """
+
+    ConfigClass = ExposureCatalogAnalysisConfig
+    _DefaultName = "exposureCatalogAnalysisTask"
+
+    def loadData(self, handle):
+        # The parent class loadData does not work for ExposureCatalog.
+
+        data = handle.get().asAstropy()
+        for colname in list(data.columns.keys()):
+            # An ExposureCatalog may contain elements that are themselves
+            # arrays. In such cases, the arrays are expanded into multiple
+            # columns named: <colname>_0, <colname>_1, etc.
+            if isinstance(data[colname][0], np.ndarray):
+                for index in np.arange(len(data[colname][0])):
+                    values = [row[index] for row in data[colname]]
+                    data.add_column(Column(name=f"{colname}_{index}", data=values))
+
+        return data