Data Science MCP Servers

A marketing team asked an AI to analyze campaign data. The AI reported 'significant correlation between email frequency and purchase rate (p<0.05).' The team tripled emails. Unsubscribes spiked 340%. Sample: N=47 self-selected respondents, no power analysis. Correlation: observational, no confounders. Distribution: right-skewed but mean used. p=0.043 but Cohen's d=0.12. Trivial. Chart: truncated Y-axis making a 2% difference look enormous. This tool forces five axes: sample validity, causal inference, distribution awareness, significance with effect size, and visualization integrity.

Compare 5 attribution models (First Touch, Last Touch, Linear, etc.) to quantify revenue delta across all marketing channels.

Analyze cohort retention curves, average user lifetime, and benchmark performance against industry standards.