The paper explores the sensing capabilities of Stark probes in estimating nonlinear gradient fields, both in single-particle and many-body interacting systems. The analysis reveals that the precision of estimation can achieve super-Heisenberg scaling, growing linearly with the degree of nonlinearity. A universal algebraic relation between the scaling exponent of the Quantum Fisher Information (QFI) and the nonlinearity parameter is identified. This relationship holds for both single-particle and many-body probes and is reflected in the phase transition from an extended to a localized phase. The study also investigates the performance of Stark systems under the influence of both linear and quadratic fields, demonstrating multi-parameter estimation. The phase diagram of the system, which transitions from extended to localized phases, is determined using the Quantum Fisher Information Matrix. The paper proposes optimal measurement strategies and performs resource analysis, showing that the enhanced sensitivity achievable by Stark probes is experimentally accessible even when considering the preparation time of the probe. Finally, the paper discusses the simultaneous estimation scenario, where the Stark probe can potentially achieve better precision by utilizing multiple parameters.The paper explores the sensing capabilities of Stark probes in estimating nonlinear gradient fields, both in single-particle and many-body interacting systems. The analysis reveals that the precision of estimation can achieve super-Heisenberg scaling, growing linearly with the degree of nonlinearity. A universal algebraic relation between the scaling exponent of the Quantum Fisher Information (QFI) and the nonlinearity parameter is identified. This relationship holds for both single-particle and many-body probes and is reflected in the phase transition from an extended to a localized phase. The study also investigates the performance of Stark systems under the influence of both linear and quadratic fields, demonstrating multi-parameter estimation. The phase diagram of the system, which transitions from extended to localized phases, is determined using the Quantum Fisher Information Matrix. The paper proposes optimal measurement strategies and performs resource analysis, showing that the enhanced sensitivity achievable by Stark probes is experimentally accessible even when considering the preparation time of the probe. Finally, the paper discusses the simultaneous estimation scenario, where the Stark probe can potentially achieve better precision by utilizing multiple parameters.