Replication materials for "Benchmarking Frontier Large Language Models on Consumer-Facing Cost Questions: Price-Range Width, Output Consistency, and a Structured-Engine Baseline"

Anonymized data and reproduction code for the study. Includes the 40-question cross-sectional pass, the four deep repeated questions, the twenty-question repeated set for both general-purpose models, and a self-contained, standard-library-only script (score_reproduce.py) that recomputes every reported figure: price-range width medians and distribution, the over-charge marker counts, and the sample standard deviation across repeated runs. No network access or API keys are required. See README.md to run.