diff --git a/src/titiler/xarray/titiler/xarray/extensions.py b/src/titiler/xarray/titiler/xarray/extensions.py
index 0f3515279..cea0884b6 100644
--- a/src/titiler/xarray/titiler/xarray/extensions.py
+++ b/src/titiler/xarray/titiler/xarray/extensions.py
@@ -1,12 +1,14 @@
 """titiler.xarray Extensions."""
 
 import warnings
-from typing import Callable, List, Type
+from typing import Callable, List, Optional, Type
 
 import xarray
 from attrs import define
-from fastapi import Depends
+from fastapi import Depends, Query
+from rio_tiler.constants import WGS84_CRS
 from starlette.responses import HTMLResponse
+from typing_extensions import Annotated
 
 from titiler.core.dependencies import DefaultDependency
 from titiler.core.factory import FactoryExtension
@@ -56,7 +58,7 @@ class DatasetMetadataExtension(FactoryExtension):
     io_dependency: Type[DefaultDependency] = XarrayIOParams
     dataset_opener: Callable[..., xarray.Dataset] = xarray_open_dataset
 
-    def register(self, factory: TilerFactory):
+    def register(self, factory: TilerFactory):  # noqa: C901
         """Register endpoint to the tiler factory."""
 
         @factory.router.get(
@@ -109,3 +111,95 @@ def dataset_variables(
             """Returns the list of keys/variables in the Dataset."""
             with self.dataset_opener(src_path, **io_params.as_dict()) as ds:
                 return list(ds.data_vars)
+
+        @factory.router.get(
+            "/validate",
+            responses={
+                200: {
+                    "content": {
+                        "application/json": {},
+                    },
+                },
+            },
+        )
+        def validate_dataset(  # noqa: C901
+            src_path=Depends(factory.path_dependency),
+            io_params=Depends(self.io_dependency),
+            variable: Annotated[
+                Optional[str], Query(description="Xarray Variable name.")
+            ] = None,
+        ):
+            """Returns the HTML representation of the Xarray Dataset."""
+            errors = []
+
+            with self.dataset_opener(src_path, **io_params.as_dict()) as dst:
+                variables = list(dst.data_vars)
+
+                if variable:
+                    dst = dst[variable]
+
+                if "x" not in dst.dims and "y" not in dst.dims:
+                    try:
+                        latitude_var_name = next(
+                            name
+                            for name in ["lat", "latitude", "LAT", "LATITUDE", "Lat"]
+                            if name in dst.dims
+                        )
+                        longitude_var_name = next(
+                            name
+                            for name in ["lon", "longitude", "LON", "LONGITUDE", "Lon"]
+                            if name in dst.dims
+                        )
+
+                        dst = dst.rename(
+                            {latitude_var_name: "y", longitude_var_name: "x"}
+                        )
+
+                        if extra_dims := [d for d in dst.dims if d not in ["x", "y"]]:
+                            dst = dst.transpose(*extra_dims, "y", "x")
+                        else:
+                            dst = dst.transpose("y", "x")
+
+                    except StopIteration:
+                        errors.append(
+                            "Dataset does not have compatible spatial coordinates"
+                        )
+
+                bounds = dst.rio.bounds()
+                if not bounds:
+                    errors.append("Dataset does not have rioxarray bounds")
+
+                res = dst.rio.resolution()
+                if not res:
+                    errors.append("Dataset does not have rioxarray resolution")
+
+                if res and bounds:
+                    crs = dst.rio.crs or "epsg:4326"
+                    xres, yres = map(abs, res)
+
+                    # Adjust the longitude coordinates to the -180 to 180 range
+                    if crs == "epsg:4326" and (dst.x > 180 + xres / 2).any():
+                        dst = dst.assign_coords(x=(dst.x + 180) % 360 - 180)
+
+                        # Sort the dataset by the updated longitude coordinates
+                        dst = dst.sortby(dst.x)
+
+                    bounds = tuple(dst.rio.bounds())
+                    if crs == WGS84_CRS and (
+                        bounds[0] + xres / 2 < -180
+                        or bounds[1] + yres / 2 < -90
+                        or bounds[2] - xres / 2 > 180
+                        or bounds[3] - yres / 2 > 90
+                    ):
+                        errors.append(
+                            "Dataset bounds are not valid, must be in [-180, 180] and [-90, 90]"
+                        )
+
+                if not dst.rio.transform():
+                    errors.append("Dataset does not have rioxarray transform")
+
+            return {
+                "compatible_with_titiler": True if not errors else False,
+                "errors": errors,
+                "dataset_vars": variables,
+            }