diff --git a/artifact_1_bandwidth_analysis/src/artifact_1_bandwidth_analysis/cli.py b/artifact_1_bandwidth_analysis/src/artifact_1_bandwidth_analysis/cli.py
new file mode 100644
index 0000000..cc9ed6a
--- /dev/null
+++ b/artifact_1_bandwidth_analysis/src/artifact_1_bandwidth_analysis/cli.py
@@ -0,0 +1,49 @@
+import argparse
+import json
+from pathlib import Path
+from typing import Any
+
+from artifact_1_bandwidth_analysis.core import analyze_bandwidth
+
+
+def _load_json(path: Path) -> list[dict[str, Any]]:
+    if not path.exists():
+        raise FileNotFoundError(f"Eingabedatei nicht gefunden: {path}")
+    with path.open('r', encoding='utf-8') as f:
+        data = json.load(f)
+    if not isinstance(data, list):
+        raise ValueError(f"Erwartete eine JSON-Liste in {path}")
+    for entry in data:
+        if not isinstance(entry, dict):
+            raise ValueError(f"Ungültiger Eintrag in {path}, erwartet dict, bekam {type(entry)}")
+        if 'worker_id' not in entry or 'timestamp' not in entry:
+            raise ValueError(f"Fehlende Felder in Eintrag: {entry}")
+    return data
+
+
+def main() -> None:
+    parser = argparse.ArgumentParser(description="Analyse der Bandbreite und des Bandzentrums für Affinitätsmodi.")
+    parser.add_argument("--enforced", required=True, help="Pfad zur JSON-Datei mit Daten im enforced-Modus.")
+    parser.add_argument("--randomized", required=True, help="Pfad zur JSON-Datei mit Daten im randomized-Modus.")
+    parser.add_argument("--out", required=False, help="Pfad zur Ausgabe-JSON-Datei.")
+
+    args = parser.parse_args()
+
+    path_enforced = Path(args.enforced)
+    path_randomized = Path(args.randomized)
+    path_out = Path(args.out) if args.out else Path("output/band_analysis_result.json")
+
+    data_enforced = _load_json(path_enforced)
+    data_randomized = _load_json(path_randomized)
+
+    result = analyze_bandwidth(data_enforced, data_randomized)
+
+    path_out.parent.mkdir(parents=True, exist_ok=True)
+    with path_out.open('w', encoding='utf-8') as f:
+        json.dump(result, f, indent=2)
+
+    print(f"Analyse abgeschlossen. Ergebnisse gespeichert unter: {path_out}")
+
+
+if __name__ == "__main__":
+    main()