Retail & E-Commerce Data
Retail sales, e-commerce share, inventories, and retail wages
Data Listings
Retail & E-Commerce: Core Metrics, Codes & Market Terms
A free, platform-curated glossary of the metrics, codes and market terms that define modern retail and e-commerce, from SKU and GTIN to conversion rate, GMV, inventory turnover and chargeback. Plain-language definitions reference GS1 and U.S. Census standards to help operators, analysts and new hires speak a common language across merchandising, operations and marketing.
Retail & E-Commerce: Regulators, Statistical Sources & Standards
A free, platform-curated directory of the agencies, standards bodies and registries that regulate and measure U.S. and global retail and e-commerce, with each entity's role, jurisdiction and official website. Compiled from public government and organization records to help merchants, compliance teams and analysts locate authoritative sales data, consumer-protection rules and product-identification standards.
Retail & E-Commerce: U.S. Sales, Online Share & Wage Benchmarks
A free, platform-curated set of headline U.S. retail benchmarks — total retail and food-services sales, e-commerce share of sales, sector employment and wages — compiled from U.S. Census Bureau and Bureau of Labor Statistics public releases. Helps operators, investors and analysts size the sector and benchmark performance against widely published official figures with clear period labels.
Reference Listing: Retail & E-Commerce Data — Sales, Share & Pricing Intelligence
ReferenceOfficial reference for the Retail & E-Commerce vertical. Buyers are brands tracking competitors, investors reading consumer demand, and pricing agents reacting intraday. Official retail statistics are slow and category-coarse; the paid layer is SKU-level and same-week: price-and-promotion panels scraped daily across retailers with a documented SKU-matching method, category share estimates from receipt or transaction panels (panel size and bias adjustments disclosed), marketplace seller-count and buy-box dynamics, and inventory-availability signals — the example rows show the structure. SKU matching is the hard part and therefore the moat: state your match precision because cross-retailer 'same product' claims are where these datasets usually break. Consumer transaction data must be aggregated and anonymized — no individual purchase histories. Listing is free, sellers keep 95% on everyday sales from $20 to $49,999.99 under the year-one founding rate locked through 2027-06-30 (full schedule: GET /api/meta), and zero-storage delivery relays from your endpoint at each sale — the platform never persists your panel. This reference is free; purchase it to rehearse checkout, delivery, and the signed receipt.
API Integration
curl -X GET "https://verticalmarketplace.ai/api/marketplace/listings?vertical=retail-ecommerce"
# Pay-per-query an open-license listing in USDC (no account)
curl -X GET "https://verticalmarketplace.ai/api/x402/listings/LISTING_ID/query"