diff --git a/meilisearch/client.py b/meilisearch/client.py
index 32281a82..99646339 100644
--- a/meilisearch/client.py
+++ b/meilisearch/client.py
@@ -259,6 +259,10 @@ def multi_search(
             https://www.meilisearch.com/docs/reference/api/network
             Each query may include showPerformanceDetails to request a performance
             trace in the response (results[].performanceDetails, returned as raw data).
+            Each query may include inlineRule to preview a dynamic search rule
+            (Meilisearch Enterprise, dynamicSearchRules). Create the client with
+            custom_headers={"Meili-Include-Metadata": "true"} to include
+            metadata.inlineRuleConditionOutcomes on queries that send inlineRule.
         federation: (optional):
             Dictionary containing offset, limit, and optionally showPerformanceDetails
             for federated search (top-level performanceDetails in the response).
diff --git a/meilisearch/index.py b/meilisearch/index.py
index dd37b63d..a7a066e1 100644
--- a/meilisearch/index.py
+++ b/meilisearch/index.py
@@ -367,12 +367,19 @@ def search(self, query: str, opt_params: Mapping[str, Any] | None = None) -> dic
             - offset: Number of documents to skip
             - showPerformanceDetails: If true, the response includes a
               performanceDetails object (raw data; fields may change in future API versions)
+            - inlineRule: Dynamic search rule applied only to this query.
+              Requires Meilisearch Enterprise and the dynamicSearchRules
+              experimental feature. Create the client with
+              custom_headers={"Meili-Include-Metadata": "true"} to include
+              metadata.inlineRuleConditionOutcomes in the response.
 
         Returns
         -------
         results:
             Dictionary with hits, offset, limit, processingTime and initial query.
             When showPerformanceDetails is true, may include a performanceDetails object.
+            When Meili-Include-Metadata is true, may include metadata, with
+            inlineRuleConditionOutcomes when the query sends inlineRule.
 
         Raises
         ------
diff --git a/tests/index/test_inline_rule_meilisearch.py b/tests/index/test_inline_rule_meilisearch.py
new file mode 100644
index 00000000..db987006
--- /dev/null
+++ b/tests/index/test_inline_rule_meilisearch.py
@@ -0,0 +1,116 @@
+"""Tests for inline dynamic search rule preview on search and multi-search."""
+
+import pytest
+
+import meilisearch
+from tests import common
+
+pytestmark = pytest.mark.usefixtures("enable_dynamic_search_rules", "inline_rule_index")
+
+INDEX_UID = "inline_rule_preview"
+TASK_TIMEOUT_MS = 30_000
+
+DOCUMENTS = [
+    {
+        "id": "1",
+        "title": "super hero",
+        "hero": "superman",
+        "color": "blue",
+        "category": "shirt",
+        "stock_intent": "keep",
+    },
+    {
+        "id": "2",
+        "title": "super hero",
+        "hero": "batman",
+        "color": "yellow",
+        "category": "pants",
+        "stock_intent": "destock",
+    },
+]
+
+
+@pytest.fixture
+def inline_rule_index(client):
+    """Index with the attributes used by inline rule preview."""
+    task = client.create_index(INDEX_UID, {"primaryKey": "id"})
+    client.wait_for_task(task.task_uid, timeout_in_ms=TASK_TIMEOUT_MS)
+    index = client.index(INDEX_UID)
+    settings_task = index.update_filterable_attributes(
+        ["color", "category", "stock_intent", "hero"]
+    )
+    index.wait_for_task(settings_task.task_uid, timeout_in_ms=TASK_TIMEOUT_MS)
+    documents_task = index.add_documents(DOCUMENTS)
+    index.wait_for_task(documents_task.task_uid, timeout_in_ms=TASK_TIMEOUT_MS)
+    return index
+
+
+@pytest.fixture
+def metadata_client():
+    """Client that asks Meilisearch to include search metadata."""
+    return meilisearch.Client(
+        common.BASE_URL,
+        common.MASTER_KEY,
+        custom_headers={"Meili-Include-Metadata": "true"},
+    )
+
+
+def test_search_with_inline_rule_pins_document_and_returns_condition_outcomes(metadata_client):
+    """A satisfied inline pin rule reorders hits and reports condition outcomes."""
+    response = metadata_client.index(INDEX_UID).search(
+        "super hero",
+        {
+            "inlineRule": {
+                "uid": "user-likes-batman",
+                "conditions": {"query": {"words": "hero"}},
+                "actions": {"pin": [{"id": "2", "position": 0}]},
+            }
+        },
+    )
+
+    assert response["hits"][0]["id"] == "2"
+    metadata = response["metadata"]
+    assert isinstance(metadata["queryUid"], str)
+    assert metadata["indexUid"] == INDEX_UID
+    assert metadata["primaryKey"] == "id"
+    assert metadata["inlineRuleConditionOutcomes"] == {
+        "satisfiesActiveCondition": True,
+        "satisfiesQueryWordsCondition": "satisfied",
+    }
+
+
+def test_multi_search_with_inline_rule_returns_condition_outcomes(metadata_client):
+    """Only the query that sends inlineRule includes condition outcomes."""
+    query = {
+        "indexUid": INDEX_UID,
+        "q": "super hero",
+        "filter": "color = blue AND category = shirt",
+    }
+    response = metadata_client.multi_search(
+        [
+            query,
+            {
+                **query,
+                "inlineRule": {
+                    "uid": "special-sales",
+                    "conditions": {
+                        "query": {"words": "pants"},
+                        "filter": {
+                            "values": {
+                                "color": "yellow",
+                                "stock_intent": "destock",
+                            }
+                        },
+                    },
+                },
+            },
+        ]
+    )
+
+    assert response["results"][0]["hits"] == response["results"][1]["hits"]
+    assert "inlineRuleConditionOutcomes" not in response["results"][0].get("metadata", {})
+    assert response["results"][1]["metadata"]["inlineRuleConditionOutcomes"] == {
+        "satisfiesActiveCondition": True,
+        "satisfiesQueryWordsCondition": {"missingWord": {"word": "pants"}},
+        "satisfiesFilterCondition": {"unmetConstraintOnField": {"field": "color"}},
+    }