NBFS field notes
NBFS field notes
Bot Blocker. Adaptive bot blocking before fraud hits
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Collected facts
Bot Blocker. Merchants face a surge of fake abandoned checkouts from bots using declined credit cards daily, with no automated detection in place. An LLM agent learns evolving bot fingerprints — velocity, card-decline sequences, email/IP entropy — that static rules can't match, autonomously adjusting blocking thresholds per merchant. Real-time monitoring, signal extractor tool, AI analysis, Shopify write-back client, secure audit storage.
Structured evaluations
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| Metric | Median | Responses | Distribution 1→5 |
|---|---|---|---|
| Setup & Ease of Use | — | 0 | 0 / 0 / 0 / 0 / 0 |
| UX/UI | — | 0 | 0 / 0 / 0 / 0 / 0 |
| Listing Accuracy | — | 0 | 0 / 0 / 0 / 0 / 0 |
| Reliability & Performance | — | 0 | 0 / 0 / 0 / 0 / 0 |
| Support | — | 0 | 0 / 0 / 0 / 0 / 0 |
| Value for Money | — | 0 | 0 / 0 / 0 / 0 / 0 |
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External NBFS sticker
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