One category · what the models named insteadAlternatives to NoFraud, as AI models named them
In the October 2026 Edition, 191 of the 252 answers collected in the one category where NoFraud holds a standing named it neither as a first choice nor as an alternative. These are the products those answers put first, category by category and buyer by buyer. The output is the models' output.
Ecommerce fraud prevention
Thirty-nine of the eighty-four answers did not name NoFraud; it was the first choice in thirty-two. The first choices in those thirty-nine answers, thirteen products in all, the eight most named:
Sixty-eight of the eighty-four answers did not name NoFraud; it was the first choice in four. The first choices in those sixty-eight answers, fifteen products in all, the eight most named:
Eighty-four of the eighty-four answers did not name NoFraud; it was the first choice in zero. The first choices in those eighty-four answers, sixteen products in all, the eight most named:
How to read this
A category is asked six ways of each of fourteen models on behalf of each buyer segment, so a segment is eighty-four answers. An answer belongs on this page when the judge labeled NoFraud neither its first choice nor an alternative in it; the products listed are the first choices those answers made, counted once per answer. An answer that named nothing first, or named NoFraud only in passing, is in the denominator and adds to no product. The counts are not the category standing, which is on the category page with its share and rank; they are the same record read from NoFraud's side.
Every answer and every label behind these figures is in the record, sent on request. The output is the models' output; nothing here is a recommendation by the index, and a product named instead of NoFraud was named by a model, not endorsed by anyone.