Grade C — exploratory
Small sample, single model, one-time observation, or incomplete evidence.
An answer is stochastic. One run is not a measurement. Everything below exists so a result can be traced back to the evidence that produced it.
Small sample, single model, one-time observation, or incomplete evidence.
Adequate platform and prompt coverage, with documented gaps.
Multi-model, multi-run, geography-controlled, current evidence, human validation, reproducibility checks, and documented corrections.
An operator may lower a grade with rationale, and may not raise it above system eligibility.
Not built yetGrade eligibility is calculated from explicit conditions in slice 1C. Until then every displayed result is labelled Grade C by construction, not by calculation.Inclusion rate, recommendation rate, citation rate, accuracy rate, and competitive-win rate are reported separately. They are never silently collapsed into one visibility number.
The sampling regime calls for three engines. One adapter is built. Stating the other two as live would be the exact overclaim this page exists to prevent, so here is the real state of each.
Answers diverge sharply between engines — a company present in one can be absent from another for the same question. Coverage is therefore a limitation on every result until all three run.
No deterministic control over model outputs. No manufactured reviews, testimonials, analyst opinions, or awards. Findings are an observed association within a stated window and sample, never a causal promise.
Not built yetThe correction policy is published; the submission and adjudication surface lands in slice 1D.