  The cumulative number count $N$, of sources above a threshold is known to
approximately follow a power law behaviour $N\propto S^{-x}$. We study the
variation of spectral index $x$ across the sky in order to look for possible
signals of violation of isotropy. We develop a rigorous algorithm of likelihood
maximisation to accurately fit for the spectral index. We divide the sky into
upper and lower hemispheres for a particular choice of $z$-axis and determine
the difference $\Delta x$ between the best fit values of the spectral indices
between the two hemispheres. The maximum value of this difference obtained by
varying over the $z$-axis provides us with a measure of departure from
isotropy. We find that the data support isotropy of the spectral index. The
maximum difference is found to be 1.3\% of the full sky best fit value of $x$.
The deviation is found to be significant only at 2$\sigma$ level which
indicates a weak departure from isotropy. We also perform a dipole fit to the
spectral index as a function of the angular coordinates. The result is found to
be consistent with isotropy.
