diff --git a/apps/wpm/filters.py b/apps/wpm/filters.py
index 0b636512..f4423459 100644
--- a/apps/wpm/filters.py
+++ b/apps/wpm/filters.py
@@ -243,10 +243,11 @@ class BatchStFilter(filters.FilterSet):
     batch__startswith__in = filters.CharFilter(method='filter_batch')
     data__has_key = filters.CharFilter(method='filter_data')
     with_source_near = filters.CharFilter(label='来源', method='filter_source_near')
+    with_zt_big = filters.CharFilter(label='附带直通大批', method='filter_source_near')
 
     def filter_source_near(self, queryset, name, value):
         return queryset
-        
+
     def filter_data(self, queryset, name, value):
         return queryset.filter(data__has_key=value)
 
@@ -254,6 +255,7 @@ class BatchStFilter(filters.FilterSet):
         model = BatchSt
         fields = {
             "batch": ["exact", "contains", "startswith"],
+            "zt_batch": ["exact", "isnull"],
             "version": ["exact", "gte", "lte"],
             "first_time": ["exact", "gte", "lte", "isnull"],
             "last_time": ["exact", "gte", "lte", "isnull"],
diff --git a/apps/wpm/scripts/batch_gxerp.md b/apps/wpm/scripts/batch_gxerp.md
index 9cfc7181..bf6bd051 100644
--- a/apps/wpm/scripts/batch_gxerp.md
+++ b/apps/wpm/scripts/batch_gxerp.md
@@ -259,6 +259,11 @@ FtestWork where type2 = TYPE2_SOME
 | `直通_良率` | 百分比（不可得/异常为 null） |
 | `直通_口径` | 白料来源口径：`黑化领用` / `入库数量` / `谱系兜底` 及异常标注 |
 
+### 接口（`/wpm/batchst/`）
+
+- 响应自带 `zt_batch`（所属大批号）；`?with_zt_big=yes` 时每行附 `zt_big` = 所属大批的完整 BatchSt（含 `直通_*`），自身即大批时为 null（直通字段就在本行 data 里）。
+- 过滤：`?zt_batch=<大批号>` 查某大批全部子批；`with_source_near=yes` 仍可附 BatchLog 直接来源批。
+
 ### 部署
 
 1. `python manage.py migrate wpm`（新增 `BatchSt.zt_batch`，迁移 `0133_batchst_zt_batch`）。
diff --git a/apps/wpm/views.py b/apps/wpm/views.py
index 14fb4110..d5a5d2a1 100644
--- a/apps/wpm/views.py
+++ b/apps/wpm/views.py
@@ -1103,6 +1103,14 @@ class BatchStViewSet(CustomListModelMixin, ComplexQueryMixin, CustomGenericViewS
             source_data_dict = {ins["id"]: ins for ins in source_data}
             for item in data:
                 item["source_near"] = [source_data_dict[ins["source"]] for ins in batchlog_qs if ins["target"] == item["id"]]
+        if (self.request.query_params.get("with_zt_big", None) == "yes" or
+            self.request.data.get("with_zt_big", None) == "yes"):
+            # 附带所属直通统计大批的数据(zt_batch 指向自身的即大批本身, 不重复附带)
+            zt_batches = {ins["zt_batch"] for ins in data if ins.get("zt_batch") and ins["zt_batch"] != ins["batch"]}
+            big_data = BatchStSerializer(instance=BatchSt.objects.filter(batch__in=zt_batches, version=1), many=True).data
+            big_data_dict = {ins["batch"]: ins for ins in big_data}
+            for item in data:
+                item["zt_big"] = big_data_dict.get(item.get("zt_batch")) if item.get("zt_batch") != item["batch"] else None
         return data
 
 class MlogbwViewSet(CustomModelViewSet):