  We present new frontiers in the modelling of the spectral energy
distributions (SED) of active galaxies by introducing the radio-to-X-ray
fitting capabilities of the publicly available Bayesian code AGNfitter. The new
code release, called AGNfitter-rx, models the broad-band photometry covering
the radio, infrared (IR), optical, ultraviolet (UV) and X-ray bands
consistently, using a combination of theoretical and semi-empirical models of
the AGN and host galaxy emission. This framework enables the detailed
characterization of four physical components of the active nuclei: the
accretion disk, the hot dusty torus, the relativistic jets/core radio emission,
and the hot corona; alongside modeling three components within the host galaxy:
stellar populations, cold dust, and the radio emission from the star-forming
regions. Applying AGNfitter-rx to a diverse sample of 36 AGN SEDs at z<0.7 from
the AGN SED ATLAS, we investigate and compare the performance of
state-of-the-art torus and accretion disk emission models on fit quality and
inferred physical parameters. We find that clumpy torus models that include
polar winds and semi-empirical accretion disk templates including emission line
features significantly increase the fit quality in 67% of the sources, by
effectively reducing by $2\sigma$ fit residuals in the $1.5-5 \mu \rm m$ and
$0.7 \mu \rm m$ regimes.We demonstrate that, by applying AGNfitter-rx on
photometric data, we are able to estimate inclination and opening angles of the
torus, consistent with spectroscopic classifications within the AGN unified
model, as well as black hole mass estimates in agreement with virial estimates
based on H$\alpha$. The wavelength coverage and the flexibility for the
inclusion of state-of-the-art theoretical models make AGNfitter-rx a unique
tool for the further development of SED modelling for AGNs in present and
future radio-to-X-ray galaxy surveys.
