A Markov Chain Monte Carlo method is proposed for the point-wise evaluation of a density whose normalizing constant is not known. This method was introduced in the physics literature by Assaraf et al.
(2007). Conditions for unbiasedness of the estimator are derived. A central limit theorem is also proved under regularity conditions. The new idea is tested on some toy-examples.