  The residuals of the power spectra of WMAP and Planck's cosmic microwave
background (CMB) anisotropies data are known to exhibit a few interesting
anomalies at different scales with marginal statistical significance. Combining
bottom-up and top-down model-building approaches and using a pipeline that
efficiently compares model predictions with data, we construct a model of
primordial standard clock that is able to link and address the anomalies at
both the large and small scales. This model, and its variant, provide some of
the best fits to the feature anomalies in CMB. According to Bayes evidences,
these models are currently statistically indistinguishable from the Standard
Model. We show that the difference between them will soon become statistically
significant with various higher quality data on the CMB polarization. We
demonstrate that such a model-building and data-analyses process may be used to
uncover a portion of detailed evolutionary history of our universe during its
primordial epoch.
