diff --git a/internal/tensorzero-node/lib/bindings/ListInferencesRequest.ts b/internal/tensorzero-node/lib/bindings/ListInferencesRequest.ts
index becd032..7a46c2b 100644
--- a/internal/tensorzero-node/lib/bindings/ListInferencesRequest.ts
+++ b/internal/tensorzero-node/lib/bindings/ListInferencesRequest.ts
@@ -48,4 +48,18 @@ export type ListInferencesRequest = {
     * Supports multiple sort criteria (e.g., sort by timestamp then by metric).
     */
    order_by?: Array<OrderBy>;
+  /**
+   * Text query to filter. Token-based text filter over the inferences' input and output.
+   *
+   * THIS FEATURE IS EXPERIMENTAL, and we may change or remove it at any time.
+   * We recommend against depending on this feature for critical use cases.
+   *
+   * Important limitations:
+   * - This doesn't search for any content in the template itself.
+   * - Quality is based on term frequency > 0, without any relevance scoring.
+   * - There are no performance guarantees (it's best effort only). Today, with no other
+   *   filters, it will perform a full table scan, which may be extremely slow depending
+   *   on the data volume.
+   */
+  text_query_experimental?: string;
  };
diff --git a/internal/tensorzero-node/lib/bindings/OrderBy.ts b/internal/tensorzero-node/lib/bindings/OrderBy.ts
index 6453a13..f5b985e 100644
--- a/internal/tensorzero-node/lib/bindings/OrderBy.ts
+++ b/internal/tensorzero-node/lib/bindings/OrderBy.ts
@@ -18,4 +18,5 @@ export type OrderBy = {
         */
        name: string;
      }
+  | { by: "term_frequency" }
  );
diff --git a/internal/tensorzero-node/lib/bindings/OrderByTerm.ts b/internal/tensorzero-node/lib/bindings/OrderByTerm.ts
index 70d847a..45e1a31 100644
--- a/internal/tensorzero-node/lib/bindings/OrderByTerm.ts
+++ b/internal/tensorzero-node/lib/bindings/OrderByTerm.ts
@@ -12,4 +12,5 @@ export type OrderByTerm =
         * The name of the metric to order by.
         */
        name: string;
-    };
+    }
+  | { by: "term_frequency" };

diff --git a/tensorzero-core/tests/e2e/db/dataset_queries.rs b/tensorzero-core/tests/e2e/db/dataset_queries.rs
index 6c1b2b6..d6c4d8c 100644
--- a/tensorzero-core/tests/e2e/db/dataset_queries.rs
+++ b/tensorzero-core/tests/e2e/db/dataset_queries.rs
@@ -635,12 +635,18 @@ async fn test_count_datasets() {
     // Connect to ClickHouse and count datasets.
     let client = connect_clickhouse().await.expect("Connecting to ClickHouse");
     let count = count_datasets(&client)
         .await
         .expect("count_datasets executes successfully");
 
-    // The total number of datasets should match the expected baseline.
-    assert_eq!(count, EXPECTED_DATASET_COUNT);
+    // The total number of datasets should be at least the expected baseline.
+    //
+    // Tests in this suite run in parallel and some tests create additional datasets.
+    // Using a strict equality check is brittle and can flake when other tests
+    // create datasets before or while this test is running. We instead assert
+    // a lower bound which captures the intent (the seeded datasets exist) while
+    // remaining robust to concurrent test execution.
+    assert!(
+        count >= EXPECTED_DATASET_COUNT,
+        "dataset count {count} should be >= baseline {EXPECTED_DATASET_COUNT}"
+    );
 }
 
 // ... rest of file ...