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Kairal — Request-level agent & bot traffic classification corpus for e-commerce and marketplaces: every screened request carries a verified-vs-impersonator agent-identity verdict, an intent/purpose label separating discovery crawlers, training crawlers and shopper-assisting agents, the access-policy decision applied (allow / mitigate) and the linked session + network context. Layered with a fraud taxonomy the same engine produces — account takeover, card testing, checkout fraud, promo abuse, multi-accounting, scraping — connected across visits, devices and accounts. Also includes a proprietar…
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Request-level agent & bot traffic classification corpus for e-commerce and marketplaces: every screened request carries a verified-vs-impersonator agent-identity verdict, an intent/purpose label separating discovery crawlers, training crawlers and shopper-assisting agents, the access-policy decision applied (allow / mitigate) and the linked session + network context. Layered with a fraud taxonomy the same engine produces — account takeover, card testing, checkout fraud, promo abuse, multi-accounting, scraping — connected across visits, devices and accounts. Also includes a proprietary attacker-technique research corpus (the founders built sneaker bots; the team runs offensive-security engagements in Italy, the UK and Brazil) and generated Threat Exposure Reports.
From 2 yearsCoverage Information Technology · Consumer DiscretionaryAsset class Equities
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Kairal — Request-level agent & bot traffic classification corpus for e-commerce and marketplaces: every screened request carries a verified-vs-impersonator agent-identity verdict, an intent/purpose label separating discovery crawlers, training crawlers and shopper-assisting agents, the access-policy decision applied (allow / mitigate) and the linked session + network context. Layered with a fraud taxonomy the same engine produces — account takeover, card testing, checkout fraud, promo abuse, multi-accounting, scraping — connected across visits, devices and accounts. Also includes a proprietar…
Kairal offers (Alternative, Sentiment, Reference) — Very high on a per-storefront basis: an edge-embedded checker scores every request, so a single mid-size marketplace plausibly contributes 1M-50M scored requests/day, and the durable asset is the labeled verdict on each. Absolute corpus size across customers is not published — confirm with vendor. The attacker-technique research corpus and Threat Exposure Reports are small (documents) but high-signal..
Bot-vs-human and agent-identity classifiers (ground truth for crawler user-agent spoofing — almost unobtainable elsewhere); AI-traffic attribution feeds measuring how much shopping traffic now arrives via agents; content/training-crawler detection for content-licensing and copyright posture; fraud-detection training (card testing, ATO, promo abuse sequences); RL/agent-behaviour corpora of agent purchase journeys that succeeded vs were blocked; e-commerce demand and price-scraping intelligence.
The data is with 2 years of history.
Coverage spans US, Other; Application Software, Internet & Direct Marketing Retail; alternative, sentiment, reference; equities.
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