cdcaveman :
Ouch! I will attempt to restate my objective differently.
With an option pricing model, such as Black&Sholes (ignoring dividends for now), It is possible to fairly accurately determine the price of a specific option contract, given you have some information that is readily available, PLUS the "volatility" of that specific option. The rub is, you never really have that "volatility" value, so most will "approximate" by some method. <-- I expect you agree with this!
For some instruments, such as RUT and SPX (which are my primary interests anyway), I am developing a process for "approximating" the IV for each contract lying at strikes between 20 and 80 delta (negative 20 & 80 for PUTs), to an accuracy of BETTER than 50% of the "true Implied Volatility" by taking into account the VIX value for SPX and the RVX value for RUT and the work I am doing on fitting to characteristics common to RUT/SPX behavior of IV with moneyness and time to expiration of the options. <-- I expect you also agree with this, as you have done some work here. (My use of the term moneyness is fairly loose. I currently use ln(strike/underlyingprice) to represent moneyness, which is has been adequate so far)
I suspect, the accuracy can be improved close to 5-10% for the mentioned Deltas, given some additional work, which I may chose NOT to do.
I understand that it would be far less effort to merely purchase the option pricing data, and use it directly. I have other reasons to purse this approach, rather than what seems to be the easy path of purchasing the data.
I don't really need anything, just curious if others have done this, and if so it would be interesting to compare notes on how we each addressed specific issues.