diff --git a/sanguo_api/routes_factor.py b/sanguo_api/routes_factor.py
index 9ae911c..7549def 100644
--- a/sanguo_api/routes_factor.py
+++ b/sanguo_api/routes_factor.py
@@ -113,5 +113,6 @@ async def eval_submit(req: FactorBatchEvalRequest):
     task_id = await orch.submit_batch_eval(
         factor_names=req.factors, categories=req.categories,
         start=req.start, end=req.end, symbols=req.symbols or None, label=req.label,
+        run_id=req.run_id or None,
     )
     return {"task_id": task_id}
diff --git a/sanguo_api/schemas.py b/sanguo_api/schemas.py
index d979244..ee6265e 100644
--- a/sanguo_api/schemas.py
+++ b/sanguo_api/schemas.py
@@ -52,3 +52,4 @@ class FactorBatchEvalRequest(BaseModel):
     start: str
     end: str
     label: str = ""
+    run_id: str = ""  # 断点续跑:复用既有批次
diff --git a/sanguo_orchestrator/runner.py b/sanguo_orchestrator/runner.py
index ae1ee1a..8ebb626 100644
--- a/sanguo_orchestrator/runner.py
+++ b/sanguo_orchestrator/runner.py
@@ -191,7 +191,8 @@ class Orchestrator:
         return task_id
 
     async def submit_batch_eval(self, factor_names: list, categories: list,
-                                start: str, end: str, symbols, label: str) -> str:
+                                start: str, end: str, symbols, label: str,
+                                run_id: str | None = None) -> str:
         """Submit a factor batch evaluation task asynchronously"""
         task_id = f"factor_eval_{uuid.uuid4().hex[:8]}"
         self._record_submit(task_id)
@@ -199,7 +200,7 @@ class Orchestrator:
         eval_db = resolve_eval_db(self.db_path)
         fut: Future = self.pool.submit_work(
             task_id, _batch_eval_worker, factor_names, categories,
-            start, end, symbols, label or "batch", eval_db,
+            start, end, symbols, label or "batch", eval_db, run_id,
         )
         task = self.pool.get_task(task_id)
         task.start()
@@ -363,7 +364,7 @@ def resolve_eval_db(backtest_db_path: str) -> str:
 
 
 def _batch_eval_worker(factor_names: list, categories: list, start: str, end: str,
-                       symbols, label: str, eval_db: str) -> dict:
+                       symbols, label: str, eval_db: str, run_id: str | None = None) -> dict:
     """进程池 worker:批量评估(spawn 环境,自行 load config/挂载因子)."""
     from sanguo_factor.alpha_datasets import mount_all
     mount_all()
@@ -371,7 +372,7 @@ def _batch_eval_worker(factor_names: list, categories: list, start: str, end: st
         from sanguo_factor.registry import list_factors
         factor_names = [f["name"] for c in categories for f in list_factors(c)]
     from sanguo_factor.batch_eval import run_batch_eval
-    return run_batch_eval(factor_names, start, end, eval_db, label=label, symbols=symbols)
+    return run_batch_eval(factor_names, start, end, eval_db, label=label, symbols=symbols, run_id=run_id)
 
 
 def _opt_worker(strategy_class, symbol: str, grid: dict, start: str, end: str, cfg, db_path: str, task_id: str) -> any: