In this project, we aim to propose a novel data-driven method for intervention in network games that overcomes the limitations of existing approaches. Our method leverages observed data to design intervention strategies without necessitating detailed knowledge of the network structure or the players' utility functions. By employing advanced data analysis techniques, we develop a robust framework capable of efficiently influencing player behavior to achieve desired outcomes.