Assess the confidence/quality of a cascade execution result.
Per-row — runs once for each row.
Bayesian A/B test (Beta-Binomial) returning full posterior + recommendation
Compare values in a group for similarities, differences, and patterns
Generate the strongest counterargument to a position
Differentially-private count (Laplace mechanism, sensitivity=1)
Differentially-private mean (Laplace mechanism)
Detect logical fallacies in an argument
Assess the confidence/quality of a cascade execution result.
Per-row — runs once for each row.
Bayesian A/B test (Beta-Binomial) returning full posterior + recommendation
Compare values in a group for similarities, differences, and patterns
Generate the strongest counterargument to a position
Differentially-private count (Laplace mechanism, sensitivity=1)
Differentially-private mean (Laplace mechanism)
Detect logical fallacies in an argument