feat(snipe): eBay trust scoring MVP — search, filters, enrichment, comps
Core trust scoring:
- Five metadata signals (account age, feedback count/ratio, price vs market,
category history), composited 0–100
- CV-based price signal suppression for heterogeneous search results
(e.g. mixed laptop generations won't false-positive suspicious_price)
- Expanded scratch/dent title detection: evasive redirects, functional problem
phrases, DIY/repair indicators
- Hard filters: new_account, established_bad_actor
- Soft flags: low_feedback, suspicious_price, duplicate_photo, scratch_dent,
long_on_market, significant_price_drop
Search & filtering:
- Browse API adapter (up to 200 items/page) + Playwright scraper fallback
- OR-group query expansion for comprehensive variant coverage
- Must-include (AND/ANY/groups), must-exclude, category, price range filters
- Saved searches with full filter round-trip via URL params
Seller enrichment:
- Background BTF /itm/ scraping for account age (Kasada-safe headed Chromium)
- On-demand enrichment: POST /api/enrich + ListingCard ↻ button
- Category history derived from Browse API categories field (free, no extra calls)
- Shopping API GetUserProfile inline enrichment for API adapter
Market comps:
- eBay Marketplace Insights API with Browse API fallback (catches 403 + 404)
- Comps prioritised in ThreadPoolExecutor (submitted first)
Infrastructure:
- Staging DB fields: times_seen, first_seen_at, price_at_first_seen, category_name
- Migrations 004 (staging tracking) + 005 (listing category)
- eBay webhook handler stub
- Cloud compose stack (compose.cloud.yml)
- Vue frontend: search store, saved searches store, ListingCard, filter sidebar
Docs:
- README fully rewritten to reflect MVP status + full feature documentation
- Roadmap table linked to all 13 Forgejo issues
pyr0ball
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