diff --git a/data/sample/events_sample.json b/data/sample/events_sample.json
index fabad55..78c1ac7 100644
--- a/data/sample/events_sample.json
+++ b/data/sample/events_sample.json
@@ -1,14 +1,14 @@
 [
-  {"event_id": "0f8c2a10-1b2c-4d5e-8a9b-000000000001", "event_type": "EARNINGS_RELEASE", "timing_category": "SCHEDULED", "event_datetime": "2026-01-27T21:00:00Z", "focal_assets": [{"identifier_type": "TICKER", "identifier_value": "MSFT"}]},
-  {"event_id": "0f8c2a10-1b2c-4d5e-8a9b-000000000002", "event_type": "EARNINGS_RELEASE", "timing_category": "SCHEDULED", "event_datetime": "2026-01-27T21:05:00Z", "focal_assets": [{"identifier_type": "TICKER", "identifier_value": "GOOGL"}]},
-  {"event_id": "0f8c2a10-1b2c-4d5e-8a9b-000000000003", "event_type": "EARNINGS_RELEASE", "timing_category": "SCHEDULED", "event_datetime": "2026-01-28T12:10:00Z", "focal_assets": [{"identifier_type": "TICKER", "identifier_value": "BA"}]},
-  {"event_id": "0f8c2a10-1b2c-4d5e-8a9b-000000000004", "event_type": "EARNINGS_RELEASE", "timing_category": "SCHEDULED", "event_datetime": "2026-01-28T21:00:00Z", "focal_assets": [{"identifier_type": "TICKER", "identifier_value": "META"}]},
-  {"event_id": "0f8c2a10-1b2c-4d5e-8a9b-000000000005", "event_type": "EARNINGS_RELEASE", "timing_category": "SCHEDULED", "event_datetime": "2026-01-28T21:02:00Z", "focal_assets": [{"identifier_type": "TICKER", "identifier_value": "TSLA"}]},
-  {"event_id": "0f8c2a10-1b2c-4d5e-8a9b-000000000006", "event_type": "EARNINGS_RELEASE", "timing_category": "SCHEDULED", "event_datetime": "2026-01-28T21:10:00Z", "focal_assets": [{"identifier_type": "TICKER", "identifier_value": "IBM"}]},
-  {"event_id": "0f8c2a10-1b2c-4d5e-8a9b-000000000007", "event_type": "EARNINGS_RELEASE", "timing_category": "SCHEDULED", "event_datetime": "2026-01-29T21:00:00Z", "focal_assets": [{"identifier_type": "TICKER", "identifier_value": "AAPL"}]},
-  {"event_id": "0f8c2a10-1b2c-4d5e-8a9b-000000000008", "event_type": "EARNINGS_RELEASE", "timing_category": "SCHEDULED", "event_datetime": "2026-01-29T21:03:00Z", "focal_assets": [{"identifier_type": "TICKER", "identifier_value": "AMZN"}]},
-  {"event_id": "0f8c2a10-1b2c-4d5e-8a9b-000000000009", "event_type": "EARNINGS_RELEASE", "timing_category": "SCHEDULED", "event_datetime": "2026-01-30T12:00:00Z", "focal_assets": [{"identifier_type": "TICKER", "identifier_value": "CVX"}]},
-  {"event_id": "0f8c2a10-1b2c-4d5e-8a9b-00000000000a", "event_type": "EARNINGS_RELEASE", "timing_category": "SCHEDULED", "event_datetime": "2026-02-03T21:00:00Z", "focal_assets": [{"identifier_type": "TICKER", "identifier_value": "AMD"}]},
-  {"event_id": "0f8c2a10-1b2c-4d5e-8a9b-00000000000b", "event_type": "EARNINGS_RELEASE", "timing_category": "SCHEDULED", "event_datetime": "2026-02-04T21:00:00Z", "focal_assets": [{"identifier_type": "TICKER", "identifier_value": "NVDA"}]},
-  {"event_id": "0f8c2a10-1b2c-4d5e-8a9b-00000000000c", "event_type": "EARNINGS_RELEASE", "timing_category": "SCHEDULED", "event_datetime": "2026-02-04T21:05:00Z", "focal_assets": [{"identifier_type": "TICKER", "identifier_value": "QCOM"}]}
+  {"event_id": "0f8c2a10-1b2c-4d5e-8a9b-000000000001", "event_type": "EARNINGS_RELEASE", "timing_category": "SCHEDULED", "event_datetime": "2026-01-27T21:00:00Z", "knowledge_cutoff": "2026-01-26T21:00:00Z", "focal_assets": [{"identifier_type": "TICKER", "identifier_value": "MSFT"}]},
+  {"event_id": "0f8c2a10-1b2c-4d5e-8a9b-000000000002", "event_type": "EARNINGS_RELEASE", "timing_category": "SCHEDULED", "event_datetime": "2026-01-27T21:05:00Z", "knowledge_cutoff": "2026-01-27T21:00:00Z", "focal_assets": [{"identifier_type": "TICKER", "identifier_value": "GOOGL"}]},
+  {"event_id": "0f8c2a10-1b2c-4d5e-8a9b-000000000003", "event_type": "EARNINGS_RELEASE", "timing_category": "SCHEDULED", "event_datetime": "2026-01-28T12:10:00Z", "knowledge_cutoff": "2026-01-27T21:00:00Z", "focal_assets": [{"identifier_type": "TICKER", "identifier_value": "BA"}]},
+  {"event_id": "0f8c2a10-1b2c-4d5e-8a9b-000000000004", "event_type": "EARNINGS_RELEASE", "timing_category": "SCHEDULED", "event_datetime": "2026-01-28T21:00:00Z", "knowledge_cutoff": "2026-01-27T21:00:00Z", "focal_assets": [{"identifier_type": "TICKER", "identifier_value": "META"}]},
+  {"event_id": "0f8c2a10-1b2c-4d5e-8a9b-000000000005", "event_type": "EARNINGS_RELEASE", "timing_category": "SCHEDULED", "event_datetime": "2026-01-28T21:02:00Z", "knowledge_cutoff": "2026-01-28T21:00:00Z", "focal_assets": [{"identifier_type": "TICKER", "identifier_value": "TSLA"}]},
+  {"event_id": "0f8c2a10-1b2c-4d5e-8a9b-000000000006", "event_type": "EARNINGS_RELEASE", "timing_category": "SCHEDULED", "event_datetime": "2026-01-28T21:10:00Z", "knowledge_cutoff": "2026-01-28T21:00:00Z", "focal_assets": [{"identifier_type": "TICKER", "identifier_value": "IBM"}]},
+  {"event_id": "0f8c2a10-1b2c-4d5e-8a9b-000000000007", "event_type": "EARNINGS_RELEASE", "timing_category": "SCHEDULED", "event_datetime": "2026-01-29T21:00:00Z", "knowledge_cutoff": "2026-01-28T21:00:00Z", "focal_assets": [{"identifier_type": "TICKER", "identifier_value": "AAPL"}]},
+  {"event_id": "0f8c2a10-1b2c-4d5e-8a9b-000000000008", "event_type": "EARNINGS_RELEASE", "timing_category": "SCHEDULED", "event_datetime": "2026-01-29T21:03:00Z", "knowledge_cutoff": "2026-01-29T21:00:00Z", "focal_assets": [{"identifier_type": "TICKER", "identifier_value": "AMZN"}]},
+  {"event_id": "0f8c2a10-1b2c-4d5e-8a9b-000000000009", "event_type": "EARNINGS_RELEASE", "timing_category": "SCHEDULED", "event_datetime": "2026-01-30T12:00:00Z", "knowledge_cutoff": "2026-01-29T21:00:00Z", "focal_assets": [{"identifier_type": "TICKER", "identifier_value": "CVX"}]},
+  {"event_id": "0f8c2a10-1b2c-4d5e-8a9b-00000000000a", "event_type": "EARNINGS_RELEASE", "timing_category": "SCHEDULED", "event_datetime": "2026-02-03T21:00:00Z", "knowledge_cutoff": "2026-02-02T21:00:00Z", "focal_assets": [{"identifier_type": "TICKER", "identifier_value": "AMD"}]},
+  {"event_id": "0f8c2a10-1b2c-4d5e-8a9b-00000000000b", "event_type": "EARNINGS_RELEASE", "timing_category": "SCHEDULED", "event_datetime": "2026-02-04T21:00:00Z", "knowledge_cutoff": "2026-02-03T21:00:00Z", "focal_assets": [{"identifier_type": "TICKER", "identifier_value": "NVDA"}]},
+  {"event_id": "0f8c2a10-1b2c-4d5e-8a9b-00000000000c", "event_type": "EARNINGS_RELEASE", "timing_category": "SCHEDULED", "event_datetime": "2026-02-04T21:05:00Z", "knowledge_cutoff": "2026-02-04T21:00:00Z", "focal_assets": [{"identifier_type": "TICKER", "identifier_value": "QCOM"}]}
 ]
diff --git a/src/examples/frames.py b/src/examples/frames.py
index 1be5cc9..3e2fbb9 100644
--- a/src/examples/frames.py
+++ b/src/examples/frames.py
@@ -13,6 +13,7 @@
 # Columns, in reading order, for the events table.
 _EVENT_COLUMNS = [
     "event_datetime",
+    "knowledge_cutoff",
     "event_type",
     "timing_category",
     "tickers",
@@ -31,6 +32,7 @@ def events_frame(events: list[CalendarEvent]) -> pd.DataFrame:
     rows = [
         {
             "event_datetime": ev.event_datetime,
+            "knowledge_cutoff": ev.knowledge_cutoff,
             "event_type": ev.event_type,
             "timing_category": ev.timing_category,
             "tickers": ", ".join(a.identifier_value for a in ev.focal_assets),
@@ -42,6 +44,7 @@ def events_frame(events: list[CalendarEvent]) -> pd.DataFrame:
     df = pd.DataFrame(rows, columns=_EVENT_COLUMNS)
     if not df.empty:
         df["event_datetime"] = pd.to_datetime(df["event_datetime"], utc=True, format="ISO8601")
+        df["knowledge_cutoff"] = pd.to_datetime(df["knowledge_cutoff"], utc=True, format="ISO8601")
         df = df.sort_values("event_datetime").reset_index(drop=True)
     return df
 
diff --git a/src/examples/schemas.py b/src/examples/schemas.py
index 9c48629..a95bfa0 100644
--- a/src/examples/schemas.py
+++ b/src/examples/schemas.py
@@ -35,6 +35,10 @@ class CalendarEvent(_Model):
     event_type: str
     timing_category: str  # "SCHEDULED" | "UNSCHEDULED"
     event_datetime: str
+    # The event's knowledge cutoff: an agent must not use information from
+    # after this instant (ISO 8601, UTC). Optional so older cached/sample
+    # payloads from before the field existed still parse.
+    knowledge_cutoff: str | None = None
     focal_assets: list[AssetIdentifier] = []
 
 
diff --git a/tests/test_frames.py b/tests/test_frames.py
index 803719d..dcbb7ca 100644
--- a/tests/test_frames.py
+++ b/tests/test_frames.py
@@ -21,6 +21,7 @@ def test_events_frame_sorts_and_flattens(sample_events: list[dict]) -> None:
 
     assert list(df.columns) == [
         "event_datetime",
+        "knowledge_cutoff",
         "event_type",
         "timing_category",
         "tickers",
@@ -42,7 +43,7 @@ def test_events_frame_sorts_and_flattens(sample_events: list[dict]) -> None:
 def test_events_frame_empty() -> None:
     df = events_frame([])
     assert df.empty
-    assert list(df.columns)[:2] == ["event_datetime", "event_type"]
+    assert list(df.columns)[:2] == ["event_datetime", "knowledge_cutoff"]
 
 
 def test_manifest_frame_hides_urls_and_sorts() -> None: