update sample data

README.md

@@ -1,41 +1,41 @@
----
-license: cc-by-sa-4.0
-task_categories: [tabular-classification, tabular-regression]
-tags: [ecommerce, shopify, gmv, market-research, datenix]
-size_categories: [10K<n<100K]
----
-# Datenix Shop Intel — 10K sample
-
-**10K top e-commerce stores by verified GMV**, from Datenix's 2.06M master DB.
-
-## What's inside
-- `sample_10k.jsonl` / `sample_10k.csv` — top 10K shops by verified GMV 2025
-- 20 columns per row: domain, name, platform, country, GMV 2023-2026, product count/price (`pc_*`), SimilarWeb monthly visits (`monthly_visits`, `sw_*`), theme/niche, FB ads footprint (`fp_*`)
-
-## GMV sanity check
-Every row has a `gmv_sanity` label:
-- `verified` — GMV / (12 × sw_visits) within $10-500 per annual visit (typical e-com range)
-- `no_sw_data` — small shops without SimilarWeb coverage; trust the raw estimate
-- `unverified_no_sw` — GMV > $100M but no SimilarWeb data; discounted 0.3x for ranking
-- `suspicious_ratio_N` — GMV / visits ratio unrealistic (excluded from top ranking)
-- `excluded_subdomain` — technical subdomains (workshop./staging./cdn./etc.) excluded
-
-`gmv_verified` uses the sanity check; `gmv_2025` retains the raw estimate.
-
-## Full data
-- Full 2.06M store dataset (`stores.master.jsonl.gz`, 325 MB gzip): contact hi@datenix.xyz
-- REST API: https://api.datenix.xyz
-- Landing: https://datenix.xyz
-- Twitter: @datenix
-
-## Fields (SHOP_COLS)
-- `domain`, `name`, `platform`, `country`, `sources_count`
-- `gmv_2023`, `gmv_2024`, `gmv_2025`, `gmv_2026`, `gmv_ltm` — GMV estimates in USD (raw from eccompass)
-- `gmv_verified`, `gmv_sanity` — cross-validated GMV with sanity label
-- `pc_product_count`, `pc_avg_price` — product intel from CRX (Koala-grade)
-- `monthly_visits`, `sw_global_rank`, `sw_category` — traffic intel from CRX (SimilarWeb-grade)
-- `theme_name`, `niche` — Shopify theme + niche classification
-- `fp_ads_saved`, `fp_fb_likes`, `fp_fb_category` — FB Ad Library brand footprint (Foreplay-grade)
-
-## License
+---
+license: cc-by-sa-4.0
+task_categories: [tabular-classification, tabular-regression]
+tags: [ecommerce, shopify, gmv, market-research, datenix, traffic, foreplay]
+size_categories: [10K<n<100K]
+---
+# Datenix Shop Intel — 10K Production Sample
+
+**10,000 curated e-commerce stores** with traffic cross-verification, Foreplay ads footprint, and Vryse SEO coverage.
+
+## Files
+- `sample_10k.jsonl` / `sample_10k.csv` — production showcase (Aug 2026)
+
+## Sample tiers
+| Tier | Count | gmv_sanity | Description |
+|------|-------|------------|-------------|
+| traffic_verified | 6,763 | verified | GMV × sellercenter traffic cross-verified |
+| traffic_only | 3,237 | single_source | visits ≥5K, single traffic source |
+
+## Enrichment sources
+- **Traffic**: sellercenter.io web-traffic (SimilarWeb-grade)
+- **Foreplay**: 1,285 domains with `fp_ads_saved` / `fp_domain_hit`
+- **Vryse SEO**: 296 domains with `vryse_pages` (page URL coverage)
+- **GMV**: eccompass timeline gmv_2023–2026
+
+## Key fields
+`domain`, `platform`, `country`, `gmv_2025`, `gmv_ltm`, `gmv_sanity`, `sample_tier`
+`monthly_visits`, `sw_global_rank`, `sw_category`
+`fp_ads_saved`, `fp_brands`, `fp_domain_hit`
+`vryse_pages`, `sources`, `source_count`
+
+## API
+- Stats: `GET https://api.datenix.xyz/api/shops/sample-stats`
+- Domain: `GET https://api.datenix.xyz/api/shops/domain/{d}`
+- Filter: `GET /api/shops/list?gmv_sanity=verified&min_vryse_pages=50`
+
+## Full dataset
+Contact hi@datenix.xyz · Landing https://datenix.xyz
+
+## License
 CC BY-SA 4.0 — attribute datenix.xyz when redistributing.