This paper introduces a general method for automatic identification and classification of defects across different classes of supramolecular polymers. In our protocol, in order to make the analysis comparable between different fibers while keeping a detailed view on the stacking of the monomers, we considered the full aromatic ring plus the amide beads of each monomer. Here we show, however, that one could simplify even more the approach and consider only a virtual atom centered at the center of each monomer. Figure shows that using only the information about the centers to build the SOAP vectors could be enough to capture qualitatively all the structural complexity between different fibers. To compute the SOAPs we used the parameters introduced before with cutoff = 8.0 Å, while the two-dimensional maps were produced projecting the SOAPs onto the first two This analysis shows the power of SOAP when combined with PAMM for building a completely agnostic, data-driven approach to learn the structural complexity of polymers. Without having any prior knowledge on the systems one could start simply replacing each monomer with a point and study the correlations among those to capture most of the structural and the dynamical nature of the fiber.