diff --git a/dspy/predict/__init__.py b/dspy/predict/__init__.py
index 1d4ddffced..8333792b48 100644
--- a/dspy/predict/__init__.py
+++ b/dspy/predict/__init__.py
@@ -1,4 +1,5 @@
 from dspy.predict.aggregation import majority
+from dspy.predict.helpers import majority_k
 from dspy.predict.best_of_n import BestOfN
 from dspy.predict.chain_of_thought import ChainOfThought
 from dspy.predict.code_act import CodeAct
@@ -12,6 +13,7 @@
 
 __all__ = [
     "majority",
+    "majority_k",
     "BestOfN",
     "ChainOfThought",
     "CodeAct",
diff --git a/dspy/predict/helpers.py b/dspy/predict/helpers.py
new file mode 100644
index 0000000000..49eb263c17
--- /dev/null
+++ b/dspy/predict/helpers.py
@@ -0,0 +1,30 @@
+from typing import Any, Callable, Union
+from dspy.predict.aggregation import majority
+from dspy.primitives.prediction import Prediction, Completions
+
+def majority_k(
+    predict_fn: Union[Callable[..., Any], Prediction, Completions, list], 
+    k: int = 5, 
+    **majority_kwargs
+) -> Any:
+    """
+    Minimal wrapper running predict_fn k times and returning majority().
+    
+    Args:
+        predict_fn: A callable that takes keyword arguments and returns a value,
+                   or an existing Prediction/Completions/list to pass to majority().
+        k: Number of times to run the predictor (only used if predict_fn is callable).
+        **majority_kwargs: Additional arguments to pass to majority().
+        
+    Returns:
+        If predict_fn is callable: A callable that runs predict_fn k times and returns the majority result.
+        Otherwise: The result of majority(predict_fn, **majority_kwargs).
+    """
+    if not callable(predict_fn):
+        return majority(predict_fn, **majority_kwargs)
+
+    def wrapped(**inputs: Any) -> Any:
+        preds = [predict_fn(**inputs) for _ in range(k)]
+        return majority(preds, **majority_kwargs)
+
+    return wrapped
diff --git a/tests/predict/test_majority_k.py b/tests/predict/test_majority_k.py
new file mode 100644
index 0000000000..3e7915c30a
--- /dev/null
+++ b/tests/predict/test_majority_k.py
@@ -0,0 +1,53 @@
+import pytest
+from unittest.mock import MagicMock, call
+from dspy.predict.helpers import majority_k
+from dspy.primitives.prediction import Prediction, Completions
+
+def test_majority_k_with_callable(monkeypatch):
+    # Test with a callable predictor
+    mock_predictor = MagicMock(return_value={"answer": "42"})
+    mock_majority = MagicMock(return_value="mock_result")
+    monkeypatch.setattr("dspy.predict.helpers.majority", mock_majority)
+    
+    wrapped = majority_k(mock_predictor, k=3)
+    
+    # Call the wrapped function
+    result = wrapped(question="test", other_param=123)
+    
+    # Verify the predictor was called 3 times with the same args
+    assert mock_predictor.call_count == 3
+    mock_predictor.assert_has_calls([call(question="test", other_param=123)] * 3)
+    
+    # Verify majority was called once with a list of k predictions
+    mock_majority.assert_called_once()
+    predictions = mock_majority.call_args[0][0]
+    assert len(predictions) == 3
+    assert all(p == {"answer": "42"} for p in predictions)
+    assert result == "mock_result"
+
+def test_majority_k_with_existing_completions(monkeypatch):
+    # Test with existing completions (non-callable)
+    completions = [{"answer": "2"}, {"answer": "2"}, {"answer": "3"}]
+    mock_majority = MagicMock(return_value="mock_result")
+    monkeypatch.setattr("dspy.predict.helpers.majority", mock_majority)
+    
+    result = majority_k(completions, field="answer")
+    
+    # Should directly call majority() with the completions
+    mock_majority.assert_called_once_with(completions, field="answer")
+    assert result == "mock_result"
+
+def test_majority_k_with_kwargs(monkeypatch):
+    # Test that kwargs are passed to majority()
+    mock_majority = MagicMock(return_value="mock_result")
+    monkeypatch.setattr("dspy.predict.helpers.majority", mock_majority)
+    
+    predictor = lambda x: {"answer": x}
+    wrapped = majority_k(predictor, k=2, field="answer", normalize=lambda x: x)
+    
+    result = wrapped(x="test")
+    kwargs = mock_majority.call_args[1]
+    
+    assert kwargs["field"] == "answer"
+    assert callable(kwargs["normalize"])
+    assert result == "mock_result"