The compressed multiscale Petrov-Galerkin algorithm for solving the second kind weakly singular integral equations is considered. We give the range of the truncation parameters and prove that the corresponding compression algorithm can achieve the optimal convergent order while preserving the stability

computational complexity and the uniformly boundedness of the condition number of the coefficient matrix. The numerical results verify the validity of the theoretical analysis.