Memory track exclusive. The worst case: low Reality Gap + high Inference Risk. AI makes few errors, but correctly reconstructs your secrets. The key differentiator of the PartSentinel Score — no competitor measures it.
It learned it from your technical PDFs and from your distributors' pages. Perplexity identifies the source page that fed it. The leak is traceable — and therefore fixable.
Inference Risk is not about hallucination. It is about AI being right for the wrong reason — reconstructing your equivalence logic, your hidden compatibilities, your segmentation, your substitution pathways, from sources you do not control.
AI groups SKUs into equivalence sets that match your internal table — without ever seeing the internal table.
AI deduces vehicle/machine fitment from forum threads, repair manuals and obsolete catalogue snapshots.
AI infers which SKUs are OEM-only, which are aftermarket-tier-A, which are budget — from price patterns and distributor bundling.
AI reconstructs the chain "if X is unavailable, then Y, then Z" — and uses it to redirect demand toward whichever vendor it ranks higher.
PartSentinel reports what AI can infer, and how often. We never expose the exact inference chain — what and how much, never how. The discipline is structural: do not publish the catalogue; control the inference space.
Memory-track inference probe on a single reference. Free, no account required.