| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| Ecommerce fraud prevention | Receivables and billing | 14% | 3 of 70 | 9% | 32 | accepted challenger | |
| Chargeback management | Receivables and billing | 0% | 22 of 81 | 0% | 4 | under 10 labels · led by Chargeflow at 24% |
| Model | First choice | Alternative | Mention | Negative | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 1 | 0 | 0 | 1 |
| GPT-5.4 mini | 2 | 0 | 0 | 1 | 3 |
| Gemini 3.5 Flash | 0 | 2 | 0 | 0 | 2 |
| Perplexity Sonar | 0 | 2 | 1 | 0 | 3 |
| Grok 4.1 Fast | 2 | 1 | 0 | 1 | 4 |
| Mistral Small | 1 | 2 | 1 | 0 | 4 |
| DeepSeek V4 Flash | 0 | 3 | 0 | 0 | 3 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 0 | 3 | 2 | 0 | 5 |
| Kimi K2 | 0 | 3 | 1 | 1 | 5 |
| GLM 4.7 FlashX | 0 | 1 | 0 | 0 | 1 |
| MiniMax M2.5 | 1 | 0 | 0 | 0 | 1 |
| GPT-6 Luna | 1 | 1 | 1 | 0 | 3 |
| Muse Glimmer 30B | 1 | 0 | 0 | 0 | 1 |
Verbatim evidence the judge attached to positive labels.
“the best ecommerce fraud prevention platform is usually Stripe Radar if you already process payments through Stripe” GPT-5.4 mini · Ecommerce fraud · budget prompt · first choice
“Stripe Radar stands out as one of the best ecommerce fraud prevention platforms due to its extremely low cost” Grok 4.1 Fast · Ecommerce fraud · budget prompt · first choice
“If you already process payments through Stripe, start with Stripe Radar (free for the basic plan).” MiniMax M2.5 · Ecommerce fraud · budget prompt · first choice
“my default recommendation would be Stripe Radar if you already use Stripe for payments” GPT-5.4 mini · Ecommerce fraud · paraphrase prompt · first choice
Verbatim evidence attached to negative labels. A warning on a product with few labels is a warning; on a product with many, it is one voice among them.
“scalable for mid-sized but more e-commerce/B2C oriented—less ideal for pure B2B vendor payments” Grok 4.1 Fast · Ecommerce fraud · paraphrase prompt · soft negative
“it is more of a payments-layer fraud tool than a dedicated end-to-end ecommerce risk platform” GPT-5.4 mini · Ecommerce fraud · comparative prompt · soft negative
“More focused on consumer/card transactions than pure B2B vendor payments” Kimi K2 · Ecommerce fraud · paraphrase prompt · soft negative
Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 100 of the 107 answers that named Stripe Radar and are not a share of its labels.
368 of the 424 domain citations in answers naming Stripe Radar came from somebody else's page.
Pages are listed as the models cited them.
Search figures are US estimates from DataForSEO, read October 5, 2026; AI search demand is its modeled, directional estimate, not a count of queries to any assistant. The answers are this edition's. Two measurements side by side: neither is read as the cause of the other.
An email the morning each edition publishes: where this product moved, where it held, and by how much against the noise floor. One address, confirmed by a click; a stop link in every email.
Already following? Everything you follow, with a stop for each.
What Stripe Radar's own pages state, read October 5, 2026: docs.stripe.com/radar, stripe.com/radar/guide, stripe.com/radar/pricing, docs.stripe.com/radar/rules, docs.stripe.com/radar/lists. A claimed page can correct any of them.
Claiming is free and changes nothing in the data. A claimed page shows a verified contact who is told when each edition publishes and when Stripe Radar's standing changes by more than the noise floor; the right to propose corrections to the vendor table, meaning names the judge wrote that should or should not read as Stripe Radar, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.
A new claim receives the current edition's vendor brief for Stripe Radar by email, built from the raw record of the edition. It shows:
Stripe Radar is among the products AI models recommend first in Ecommerce fraud prevention this edition. Each badge says so in the buyer's words, names the edition, and links to the standing. The next edition issues a new badge; this one stays true as a record of October 2026.
Badges read on light and dark pages. Alt text carries the claim, the category, the edition and the index, so it stays a citation where the image does not load.