QAIL AI

QAIL AI — Labeled non-human-traffic and agent-intent telemetry for online retail: real-time classifications of product-page and checkout visitors as human / known AI bot / unknown agent, derived from device fingerprinting plus behavioural analysis, with the further split of browsing-bot versus purchasing-bot, account-creation fraud verdicts, Know-Your-Agent verification records, and agent access-policy logs against MCP-compatible catalogue endpoints. Micro-scale entity, high-concept asset. No headcount, no funding, San Francisco-based research-lab posture. Value today lies in its classificati…

QAIL AI offers (Alternative, Sentiment, Reference) — Currently thin as a corpus, but the reference statistics it publishes are themselves the asset: 57% of holiday e-commerce traffic bot-driven, AI purchasing agents ~20% of Cyber Week 2025 orders, plus its agent-classification taxonomy and AI-readiness schema set. Own collected volume is est. well under a million classified sessions until deployments scale.

Training machine-traffic classifiers that go beyond user-agent strings; building agent-purchase-intent models (which AI agents actually transact); e-commerce fraud and account-takeover models; agentic-commerce conversion attribution for retailers; RL environments for shopping agents with realistic checkout resistance; content-licensing metering (which AI systems read which catalogue); benchmarking agent task completion on real retail checkout flows

The data is with 1 years of history.

Coverage spans US; Application Software; alternative, sentiment, reference; equities.