diff --git a/.changeset/breezy-seahorses-swim.md b/.changeset/breezy-seahorses-swim.md
new file mode 100644
index 000000000..1d3b70a93
--- /dev/null
+++ b/.changeset/breezy-seahorses-swim.md
@@ -0,0 +1,6 @@
+---
+'@hyperdx/api': patch
+'@hyperdx/app': patch
+---
+
+feat: support count per sec/min/hr aggregation functions
diff --git a/packages/api/src/clickhouse/__tests__/clickhouse.test.ts b/packages/api/src/clickhouse/__tests__/clickhouse.test.ts
index 1b56f1aa3..3e3312381 100644
--- a/packages/api/src/clickhouse/__tests__/clickhouse.test.ts
+++ b/packages/api/src/clickhouse/__tests__/clickhouse.test.ts
@@ -323,6 +323,80 @@ Array [
     "ts_bucket": 1641341100,
   },
 ]
+`);
+
+    const multiGroupBysData2 = (
+      await clickhouse.getMultiSeriesChart({
+        series: [
+          {
+            type: 'time',
+            table: 'logs',
+            aggFn: clickhouse.AggFn.CountPerMin,
+            field: 'awesomeNumber',
+            where: `runId:${runId}`,
+            groupBy: ['testGroup', 'testOtherGroup'],
+          },
+        ],
+        tableVersion: undefined,
+        teamId,
+        startTime: now,
+        endTime: now + ms('10m'),
+        granularity: '5 minute',
+        maxNumGroups: 20,
+        seriesReturnType: clickhouse.SeriesReturnType.Column,
+      })
+    ).data.map(d => {
+      return _.pick(d, [
+        'group',
+        'series_0.data',
+        'series_1.data',
+        'ts_bucket',
+      ]);
+    });
+    expect(multiGroupBysData2.length).toEqual(5);
+    expect(multiGroupBysData2).toMatchInlineSnapshot(`
+Array [
+  Object {
+    "group": Array [
+      "group2",
+      "otherGroup1",
+    ],
+    "series_0.data": 0.6,
+    "ts_bucket": 1641340800,
+  },
+  Object {
+    "group": Array [
+      "group1",
+      "otherGroup1",
+    ],
+    "series_0.data": 0.4,
+    "ts_bucket": 1641340800,
+  },
+  Object {
+    "group": Array [
+      "group1",
+      "otherGroup2",
+    ],
+    "series_0.data": 0.2,
+    "ts_bucket": 1641340800,
+  },
+  Object {
+    "group": Array [
+      "group1",
+      "otherGroup2",
+    ],
+    "series_0.data": 0.4,
+    "ts_bucket": 1641341100,
+  },
+  Object {
+    "group": Array [
+      "group1",
+      "otherGroup3",
+    ],
+    "series_0.data": 0.2,
+    "ts_bucket": 1641341100,
+  },
+]
 `);
 
     const ratioData = (
@@ -382,6 +456,51 @@ Array [
     "ts_bucket": 1641341100,
   },
 ]
+`);
+
+    const tableData = (
+      await clickhouse.getMultiSeriesChart({
+        series: [
+          {
+            type: 'table',
+            table: 'logs',
+            aggFn: clickhouse.AggFn.CountPerMin,
+            where: `runId:${runId}`,
+            groupBy: ['testGroup'],
+          },
+        ],
+        tableVersion: undefined,
+        teamId,
+        startTime: now,
+        endTime: now + ms('10m'),
+        granularity: undefined,
+        maxNumGroups: 20,
+        seriesReturnType: clickhouse.SeriesReturnType.Column,
+      })
+    ).data.map(d => {
+      return _.pick(d, ['group', 'series_0.data', 'ts_bucket', 'rank']);
+    });
+
+    expect(tableData.length).toEqual(2);
+    expect(tableData).toMatchInlineSnapshot(`
+Array [
+  Object {
+    "group": Array [
+      "group1",
+    ],
+    "rank": "1",
+    "series_0.data": 0.6,
+    "ts_bucket": "0",
+  },
+  Object {
+    "group": Array [
+      "group2",
+    ],
+    "rank": "2",
+    "series_0.data": 0.3,
+    "ts_bucket": "0",
+  },
+]
 `);
   });
 
@@ -479,8 +598,6 @@ Array [
       }),
     );
 
-    mockLogsPropertyTypeMappingsModel({});
-
     mockSpyMetricPropertyTypeMappingsModel({
       runId: 'string',
       host: 'string',
@@ -846,8 +963,6 @@ Array [
       }),
     );
 
-    mockLogsPropertyTypeMappingsModel({});
-
     mockSpyMetricPropertyTypeMappingsModel({
       runId: 'string',
       host: 'string',
diff --git a/packages/api/src/clickhouse/index.ts b/packages/api/src/clickhouse/index.ts
index c1dfb446f..d1ef15025 100644
--- a/packages/api/src/clickhouse/index.ts
+++ b/packages/api/src/clickhouse/index.ts
@@ -61,6 +61,9 @@ export enum AggFn {
   AvgRate = 'avg_rate',
   Count = 'count',
   CountDistinct = 'count_distinct',
+  CountPerSec = 'count_per_sec',
+  CountPerMin = 'count_per_min',
+  CountPerHour = 'count_per_hour',
   Max = 'max',
   MaxRate = 'max_rate',
   Min = 'min',
@@ -1078,6 +1081,18 @@ const buildEventSeriesQuery = async ({
     throw new Error('Rate is not supported in logs chart');
   }
 
+  const isCountFn =
+    aggFn === AggFn.Count ||
+    aggFn === AggFn.CountPerSec ||
+    aggFn === AggFn.CountPerMin ||
+    aggFn === AggFn.CountPerHour;
+
+  if (field == null && !isCountFn) {
+    throw new Error(
+      'Field is required for all aggregation functions except Count',
+    );
+  }
+
   const tableName = getLogStreamTableName(tableVersion, teamId);
   const whereClause = await buildSearchQueryWhereCondition({
     endTime,
@@ -1086,18 +1101,11 @@ const buildEventSeriesQuery = async ({
     startTime,
   });
 
-  if (field == null && aggFn !== AggFn.Count) {
-    throw new Error(
-      'Field is required for all aggregation functions except Count',
-    );
-  }
-
   const selectField =
     field != null
       ? buildSearchColumnName(propertyTypeMappingsModel.get(field), field)
       : '';
 
-  const isCountFn = aggFn === AggFn.Count;
   const groupByColumnNames = groupBy.map(g => {
     const columnName = buildSearchColumnName(
       propertyTypeMappingsModel.get(g),
@@ -1130,8 +1138,35 @@ const buildEventSeriesQuery = async ({
   const label = SqlString.escape(`${aggFn}(${field})`);
 
   const selectClause = [
-    isCountFn
+    aggFn === AggFn.Count
       ? 'toFloat64(count()) as data'
+      : aggFn === AggFn.CountPerSec
+      ? granularity
+        ? SqlString.format('divide(count(), ?) as data', [
+            ms(granularity) / ms('1 second'),
+          ])
+        : SqlString.format(
+            "divide(count(), age('ss', toDateTime(?), toDateTime(?))) as data",
+            [startTime / 1000, endTime / 1000],
+          )
+      : aggFn === AggFn.CountPerMin
+      ? granularity
+        ? SqlString.format('divide(count(), ?) as data', [
+            ms(granularity) / ms('1 minute'),
+          ])
+        : SqlString.format(
+            "divide(count(), age('mi', toDateTime(?), toDateTime(?))) as data",
+            [startTime / 1000, endTime / 1000],
+          )
+      : aggFn === AggFn.CountPerHour
+      ? granularity
+        ? SqlString.format('divide(count(), ?) as data', [
+            ms(granularity) / ms('1 hour'),
+          ])
+        : SqlString.format(
+            "divide(count(), age('hh', toDateTime(?), toDateTime(?))) as data",
+            [startTime / 1000, endTime / 1000],
+          )
       : aggFn === AggFn.Sum
       ? `toFloat64(sum(${selectField})) as data`
       : aggFn === AggFn.Avg
diff --git a/packages/app/src/types.ts b/packages/app/src/types.ts
index 0b0a8facc..d79d337ea 100644
--- a/packages/app/src/types.ts
+++ b/packages/app/src/types.ts
@@ -165,6 +165,9 @@ export type AggFn =
   | 'avg'
   | 'count_distinct'
   | 'count'
+  | 'count_per_sec'
+  | 'count_per_min'
+  | 'count_per_hour'
   | 'max_rate'
   | 'max'
   | 'min_rate'