# Stripe Radar vs NoFraud: which do AI models recommend for ecommerce fraud, October 2026

Finance AI Recommendation Index, October 2026 Edition, Ecommerce fraud prevention. Zero of fourteen models named Stripe Radar first on the direct prompt; zero named NoFraud. Page: https://finance-ai-index.com/receivables/ecommerce-fraud-prevention/stripe-radar-vs-nofraud/

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| Stripe Radar | 14% | #3 of 11 | 9% | 32 | 12 of 14 |
| NoFraud | 8% | #5 of 11 | 13% | 23 | 12 of 14 |

## The direct prompt, model by model

- Mistral Small: neither first, one named (first choices: Signifyd) (alternatives: NoFraud, Sift)
- DeepSeek V4 Flash: neither first, one named (first choices: SEON) (alternatives: Sift, Signifyd, Stripe Radar)
- Llama 4 Maverick: neither first, one named (first choices: Wyllo) (alternatives: NoFraud, SEON, Sift, Signifyd, cside)
- Claude Haiku 4.5: neither named (first choices: FraudNet, Trustmi) (alternatives: Kount, Sift, Signifyd)
- GPT-5.4 mini: neither named (first choices: Sift) (alternatives: Forter, Kount, Signifyd)
- Gemini 3.5 Flash: neither named (first choices: SEON) (alternatives: Allianz Trade Pay, Sift, Signifyd, TreviPay)
- Perplexity Sonar: neither named (first choices: SEON) (alternatives: Kount, Sift, Signifyd)
- Grok 4.1 Fast: neither named (first choices: Sift) (alternatives: Chargeflow, Fingerprint, SEON, Signifyd, Wyllo)
- Qwen 3.7 Flash: neither named (first choices: Signifyd) (alternatives: Fingerprint, Kount)
- Kimi K2: neither named (first choices: SEON) (alternatives: Eftsure, Kount, Trustmi)
- GLM 4.7 FlashX: neither named (first choices: Signifyd) (alternatives: ClearSale, Eftsure, SEON, Sift)
- MiniMax M2.5: neither named (first choices: ClearSale, SEON) (alternatives: Forter, Riskified)
- GPT-6 Luna: neither named (first choices: SEON) (alternatives: Kount)
- Muse Glimmer 30B: neither named (first choices: Signifyd, Wyllo, formerly NoFraud) (alternatives: Eftsure, SEON)

## What the models said about Stripe Radar

- "scalable for mid-sized but more e-commerce/B2C oriented—less ideal for pure B2B vendor payments" (Grok 4.1 Fast, 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, comparative prompt, soft negative)
- "More focused on consumer/card transactions than pure B2B vendor payments" (Kimi K2, paraphrase prompt, soft negative)
- "the best ecommerce fraud prevention platform is usually Stripe Radar if you already process payments through Stripe" (GPT-5.4 mini, 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, budget prompt, first choice)
- "If you already process payments through Stripe, start with Stripe Radar (free for the basic plan)." (MiniMax M2.5, budget prompt, first choice)

## What the models said about NoFraud

- "NoFraud is the one I'd most strongly caution against for smaller merchants, based on the 1.8/5 Trustpilot score" (DeepSeek V4 Flash, negative prompt, hard negative)
- "Its paid starter plans begin at $250/month, so they may not suit a very limited budget." (GPT-6 Luna, budget prompt, soft negative)
- "Examples of platforms using this model: Riskified, Signifyd, ClearSale, NoFraud" (Gemini 3.5 Flash, negative prompt, soft negative)
- "The best ecommerce fraud prevention platform for a company with a limited budget is NoFraud for Shopify merchants" (Llama 4 Maverick, budget prompt, first choice)
- "For the most budget-friendly options, start with NoFraud (free Lite tier, $250/month)" (Mistral Small, budget prompt, first choice)
- "NoFraud is widely considered the best value platform for growth-stage businesses." (Qwen 3.7 Flash, budget prompt, first choice)

Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all fourteen models, for a mid-market B2B company; rank is within the category. Comparisons are drawn for the top eight products in each category. Published under CC BY 4.0; the output is the models' output, and nothing here is a recommendation by the index.