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Kindred — A licensed commerce data layer: first-party merchant and transaction data across 75,000+ merchants in 244 countries (65% of merchants outside Shopify), normalised through an ingest-standardise-QA-localise-publish pipeline, exposed as four APIs — Promo Discovery (real-time offers), Merchant Map, Entity Mapping (cross-source merchant/product identity resolution) and Offsite Context — plus consumer profiles, intent signals and SKU-level purchase context, and the prompt-to-checkout agent transaction log itself.. Mid-scale network: 75,000+ merchants, 244 countries, 16 languages, 35+ mone…
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A licensed commerce data layer: first-party merchant and transaction data across 75,000+ merchants in 244 countries (65% of merchants outside Shopify), normalised through an ingest-standardise-QA-localise-publish pipeline, exposed as four APIs — Promo Discovery (real-time offers), Merchant Map, Entity Mapping (cross-source merchant/product identity resolution) and Offsite Context — plus consumer profiles, intent signals and SKU-level purchase context, and the prompt-to-checkout agent transaction log itself.
Scale 75From 5 yearsCoverage Information Technology · Communication Services
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Kindred — A licensed commerce data layer: first-party merchant and transaction data across 75,000+ merchants in 244 countries (65% of merchants outside Shopify), normalised through an ingest-standardise-QA-localise-publish pipeline, exposed as four APIs — Promo Discovery (real-time offers), Merchant Map, Entity Mapping (cross-source merchant/product identity resolution) and Offsite Context — plus consumer profiles, intent signals and SKU-level purchase context, and the prompt-to-checkout agent transaction log itself.. Mid-scale network: 75,000+ merchants, 244 countries, 16 languages, 35+ mone…
Kindred offers (Alternative, Fundamental, Sentiment, Reference) — 75,000+ merchant records with localised metadata across 244 countries and 16 languages, SKU-level purchase context and real-time offer records, served through four enterprise APIs — an offer/promo stream that by nature refreshes continuously.
Training and grounding shopping/recommendation agents on purchasable ground truth; retail-media and programmatic demand forecasting inside AI interfaces; cross-platform product entity resolution for pricing and catalog engines; measuring which prompts convert to purchases as consumer-demand alpha; lending, personalisation and fraud modelling cited as in-platform use cases
The data is with 5 years of history.
Coverage spans US, UK, Other; Application Software, Advertising; alternative, fundamental, sentiment, reference; equities.
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