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Nostra AI — Reverse-verified bot and AI-agent traffic corpus captured at the storefront edge across 300+ retail brands: every HTTP request seen before origin, cryptographically reverse-verified and labeled as a genuine named crawler (Googlebot, ChatGPT-User, PerplexityBot, Claude, Bing), a real human shopper, or an impostor spoofing a crawler identity — with the page path hit, block/allow outcome, and real-time streaming to downstream AEO/analytics tools.. Strongest profile in this cohort: 300+ retail brands, 35 employees, $13.1M Series A, New York. The asset is structurally hard to replicate…
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Reverse-verified bot and AI-agent traffic corpus captured at the storefront edge across 300+ retail brands: every HTTP request seen before origin, cryptographically reverse-verified and labeled as a genuine named crawler (Googlebot, ChatGPT-User, PerplexityBot, Claude, Bing), a real human shopper, or an impostor spoofing a crawler identity — with the page path hit, block/allow outcome, and real-time streaming to downstream AEO/analytics tools.
Scale Illustrative daily stream: ~4From 6 yearsCoverage Information Technology · Consumer Discretionary
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Nostra AI — Reverse-verified bot and AI-agent traffic corpus captured at the storefront edge across 300+ retail brands: every HTTP request seen before origin, cryptographically reverse-verified and labeled as a genuine named crawler (Googlebot, ChatGPT-User, PerplexityBot, Claude, Bing), a real human shopper, or an impostor spoofing a crawler identity — with the page path hit, block/allow outcome, and real-time streaming to downstream AEO/analytics tools.. Strongest profile in this cohort: 300+ retail brands, 35 employees, $13.1M Series A, New York. The asset is structurally hard to replicate…
Nostra AI offers (Alternative, Sentiment, Reference) — Illustrative daily stream: ~4,800 verified crawler events plus ~96,000 labeled sessions delivered to partners in one day. Portfolio-wide, the edge sees 100% of requests across 300+ storefronts, and the company reports an agentic-era ratio of ~100 AI-bot visits per human shopper — implying millions of labeled agent-request records per day across the network, each carrying page path, verified identity and block outcome..
Training and evaluating bot-detection / crawler-verification classifiers including the rare spoofed-identity (impostor) positive class; ground truth for agentic-commerce traffic share and its growth (search era 2:1 vs agentic era 100:1 crawler-to-shopper ratios); retail demand and SEO modeling that must exclude crawler visits; pay-per-crawl and content-licensing metering by named assistant; training data for agents that imitate human browsing vs crawler behavior; security/fraud models on credential-stuffing and scraping patterns at retail logins and PDPs.
The data is with 6 years of history.
Coverage spans US; Application Software, Internet & Direct Marketing Retail; alternative, sentiment, reference; equities.
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