Agent-commerce telemetry and scored benchmark panel

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Agent-commerce telemetry and scored benchmark panel: observed AI-agent sessions attempting real purchases at the top 200 retailers, scored end to end for agent-payable readiness (0-100), with per-retailer blocker taxonomy (login wall, captcha, payment-rail absence, multiple) and agent checkout success rates — refreshed quarterly. Underlying platform also tracks which AI agents/ crawlers hit each customer's site, plus adjacent panels on llms.txt adoption by industry and AI-crawler volume growth 2022-2026.

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Coverage

Universe, instruments and categories.

Industry: Internet & Direct Marketing RetailApplication Software
Instruments: equities
Categories

Dataset card

Type: not stated
Format: Tabular + JSON — scored retailer panel tables and time-series indices on top of raw agent-session/telemetry logs
Volume: ~200 retailers scored per quarterly review (≈800 retailer-observations/year), and the raw agent-session layer is the real volume — each retailer requires multiple end-to-end purchase attempts to derive a success rate, so plausibly tens of thousands of logged session traces per cycle. Raw session count is not published; confirm with vendor.
Users: ~50-500 B2B SaaS customer accounts (inferred from early-stage AI-monitoring vendor with a content-led research motion; no customer count published)
History: 2 years
Update frequency: not stated
Growth: Active — quarterly study refreshes, last update June 2026, and a continuously expanding research library (agent-checkout benchmarks, llms.txt adoption by industry, AI-crawler volume growth 2022-2026)
Launched: est. 2024-2025 (AI-brand-monitoring category emerged after ChatGPT's 2023 mainstreaming; the company publishes an AI-crawler growth series beginning 2022 but the product itself postdates that). Earliest dating signal is the 2026 research-library branding.
Delivery: not stated
Entity mapping: not stated
Sample: not stated
Point-in-time: not stated
Licence: not stated

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