Two categories · what the models named insteadAlternatives to Agicap, as AI models named them
In the October 2026 Edition, 423 of the 504 answers collected in the two categories where Agicap 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.
Treasury management systems
Forty-six of the eighty-four answers did not name Agicap; it was the first choice in twenty-one. The first choices in those forty-six answers, twenty-nine products in all, the eight most named:
Sixty-five of the eighty-four answers did not name Agicap; it was the first choice in eight. The first choices in those sixty-five answers, nineteen products in all, the eight most named:
Eighty-four of the eighty-four answers did not name Agicap; it was the first choice in zero. The first choices in those eighty-four answers, twenty-one products in all, the eight most named:
Cash flow forecasting
Seventy-six of the eighty-four answers did not name Agicap; it was the first choice in three. The first choices in those seventy-six answers, twenty-three products in all, the eight most named:
Sixty-eight of the eighty-four answers did not name Agicap; it was the first choice in seven. The first choices in those sixty-eight answers, twenty-five products in all, the eight most named:
Eighty-four of the eighty-four answers did not name Agicap; 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 Agicap 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 Agicap 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 Agicap'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 Agicap was named by a model, not endorsed by anyone.