AI audit vs rubric — Spocket
An independent Workers AI LLM scored Spocket against the same published rubric. The deterministic rubric result is our canonical score. The LLM's result is shown here as a sanity check — never mixed into the scoring formula.
| Dimension | Rubric | LLM | Δ (LLM − Rubric) |
|---|---|---|---|
| Pricing transparency | 84 | 20 | -64 |
| Business transparency | 40 | 25 | -15 |
| Shipping clarity | 92 | 85 | -7 |
| Public reviews | 86 | 0 | -86 |
| Product range | 85 | 70 | -15 |
| Access & onboarding | 65 | 40 | -25 |
| Support track record | 82 | 65 | -17 |
| Store integrations | 85 | 60 | -25 |
| Overall | 76 | 44 | -32 |
What this means: Large disagreement — investigate. The LLM read the published signals very differently from the deterministic rules.
Median per-dimension |Δ| = 21.
Spocket's pricing is opaque, with no visible source prices. Business transparency is low due to lack of audited statements and publicly listed status. Review score is missing, so it's assumed to be 0. Product range is estimated at 7M+ SKUs. Access is limited to a free trial, and support has mixed feedback. Integration is available on 4 platforms.This is the LLM's own explanation, not editorial commentary from SupplierSpy. The LLM result is a sanity check on the rubric — never mixed into the scoring formula.