APIGen is an automated data generation pipeline aimed at producing verifiable, high-quality datasets for function call applications. The model ensures data reliability and accuracy through a three-stage verification process, including format checking, actual function execution, and semantic validation. APIGen can generate scalable, structured, and diverse datasets and verifies the correctness of generated function calls by executing the APIs in real-time, which is essential for improving the performance of function call agent models.