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Trust Score Algorithm

Signal scoring

Each signal contributes 0–20 points to the composite score.

account_age

Days old Score
< 7 0 (triggers new_account hard flag)
7–30 5
30–90 10
90–365 15
> 365 20

Data source: eBay profile page (BTF scraper via headed Chromium + Xvfb — eBay API does not expose account registration date).

feedback_count

Count Score
0 0 (triggers zero_feedback hard flag, score capped at 35)
1–9 5
10–49 10
50–199 15
200+ 20

feedback_ratio

Ratio Score
< 80% (with 20+ reviews) 0 (triggers established_bad_actor)
< 90% 5
90–94% 10
95–98% 15
99–100% 20

price_vs_market

Compares listing price to the median of recent completed sales from eBay Marketplace Insights API.

Price vs. median Score
< 40% 0 (triggers suspicious_price flag)
40–59% 5
60–79% 10
80–120% 20 (normal range)
121–149% 15
150%+ 10

suspicious_price flag is suppressed when the market price distribution is too wide (standard deviation > 50% of median) — this prevents false positives on heterogeneous search results.

When no market data is available, this signal returns None and is excluded from the composite.

category_history

Derived from the seller's recent listing history (categories of their sold items):

Result Score
Seller has history in this category 20
Seller sells cross-category (generalist) 10
No category history available None (excluded from composite)

Composite calculation

composite = (sum of available signal scores) / (20 × count of available signals) × 100

This ensures missing signals don't penalize a seller — only available signals count toward the denominator.

Zero-feedback cap

When feedback_count == 0, the composite is hard-capped at 35 after the standard calculation. A 0-feedback seller cannot score above 35 regardless of other signals.

Partial scores

A score is marked partial when one or more signals are None (not yet available). The score is recalculated and the partial flag is cleared when enrichment completes.

Red flag override

Red flags are evaluated independently of the composite score. A seller can have a high composite score and still trigger red flags — for example, a long-established seller with a suspicious-priced listing and duplicate photos.