If you’re thinking of a stick-breaking prior such as a Dirichlet process mixture model, they typically produce an infinite number of components (which would be mints, in this case), though of course only a finite number will be represented in your finite data set. But we know that the number of mints producing coins in the Roman Empire was finite. So that’s not a reasonable prior (though of course you might sometimes be able to get away with using it anyway).
If you’re thinking of a stick-breaking prior such as a Dirichlet process mixture model, they typically produce an infinite number of components (which would be mints, in this case), though of course only a finite number will be represented in your finite data set. But we know that the number of mints producing coins in the Roman Empire was finite. So that’s not a reasonable prior (though of course you might sometimes be able to get away with using it anyway).