Nostra AI

Name: 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.
Creator: Nostra AI

NOSTRA AIManage supplier listing

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.

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Coverage

Universe, instruments and categories.

Industry: Application SoftwareInternet & Direct Marketing Retail
Instruments: equities
Categories

Dataset card

Type: not stated
Format: Real-time event stream (labeled request records) aggregated to per-brand / per-crawler / per-page time series; streamed delivery into partner platforms
Volume: 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.
Users: 300+ retail brands run on Nostra AI (stated on page); each brand contributes its entire storefront request stream rather than a seat count, so data breadth scales with storefront traffic, not users
History: 6 years
Update frequency: not stated
Growth: Active — Series A ($13.1M raised), 35 employees, actively shipping a partner ecosystem (Edge Protect for blocking, Edge Detect for labeled signal, streaming into third-party AEO platforms). The agentic-traffic thesis is a new product push, indicating expansion rather than maturity.
Launched: ~2019 for the core bot-detection/edge platform (corporate record vintage and Series A history); Edge Detect, the labeled-traffic-for-AEO product line, is ~2025-2026 — it exists because AI-assistant crawler volume only recently became material
Delivery: not stated
Entity mapping: not stated
Sample: not stated
Point-in-time: not stated
Licence: not stated

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