Suppose we take consequtive derivatives of a function at a point and then interpolate them with Newton series (Newton interpolation formula) so to obtain a smooth curve.
$$f^{(s)}(x)=\sum_{m=0}^{\infty} \binom {s}m \sum_{k=0}^m\binom mk(-1)^{m-k}f^{(k)}(x)$$
If the series converges at $s=-1$ we take this value to be the "natural" value of antiderivative of $f$ at the point $x$ (assuming that integral is the -1-th derivative).
For instance, for function $f(x)=a^x$ the expansion converges (if converges, which is not the case for all $a$) to $a^x (\ln a)^s$, or $(\ln a)^s$ at $x=0$. Thus antiderivative of $a^x$ should naturally have value of $\frac{1}{\ln a}$ at $x=0$.
Is there an easier way to obtain this value, and possibly, more universal (working where the series diverges)?
Well, using the exponential Fourier transform for non-periodic functions from this paper one can derive at least one additional method:
$$f(x)=\frac1{2\pi}\int_{-\infty}^{+\infty} e^{i\omega x} \int_{-\infty}^{+\infty}f(t)e^{-i\omega t}dt \, d\omega $$
integrating by $x$ and applying the natural integration of exponent rule we get:
$$f^{(-1)}(x)=\frac1{2\pi}\int_{-\infty}^{+\infty} \frac{e^{i\omega x}}{i\omega} \int_{-\infty}^{+\infty}f(t)e^{-i\omega t}dt \, d\omega $$
Now, for $x=0$, we obtain:
$$f^{(-1)}(0)=\frac{i}{2\pi}\int_{-\infty}^{+\infty} \frac{1}{\omega} \int_{-\infty}^{+\infty}f(t)e^{i\omega t}dt \, d\omega $$
Check if I am wrong.
Unfortunately this method converges even more rarely. One function for which it works is $ f(x)=x e^{-x^2}$, in this case $f^{(-1)}(0)=-\frac1{2}$. For $f(x)=e^{-x^2}$ the method gives $f^{(-1)}(0)=0$
Using tables for Fourier transform we can also get for $f(x)=\sin x$, $f^{(-1)}(0)=-1$, for $f(x)=\cos x$, $f^{(-1)}(0)=0$, for $f(x)=(\sin x)^3$, $f^{(-1)}(0)=-\frac23$.