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Ecommerce fraud prevention · October 2026 Edition

Stripe Radar vs NoFraud

Zero of fourteen models named Stripe Radar first on the direct prompt; zero named NoFraud. Stripe Radar was named by twelve of the fourteen models and NoFraud by twelve and Stripe Radar carries 32 labels and NoFraud 23, so the shares are not directly comparable.

Stripe Radar

accepted challenger

Named in two categories this edition.

NoFraud

accepted challenger

Named in one category this edition.

First-choice share14%8%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate9%13%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#3#5A position in a field of 11; printed, not drawn.
Labels3223A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Stripe Radar reading right to left. Rank and label count are printed, not drawn.Signifyd was named alongside these two in eleven of the fourteen direct answers. SEON vs Stripe Radar · SEON vs NoFraud · Eftsure vs Stripe Radar

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; every quote names the model and the prompt it came from. Both figures come from the ecommerce fraud prevention page.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
Stripe RadarFirst choices, of fourteen modelsNoFraud
Direct00
Paraphrase102 against Stripe Radar
Comparative001 against Stripe Radar
Budget-constrained641 against NoFraud
Scale-constrained00
Negative102 against NoFraud
Bars are first choices, 0 to 14 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to fourteen.

Across every category in the October 2026 Edition, Stripe Radar and NoFraud were named in the same answer forty-one times, of the 107 answers naming Stripe Radar and the 79 naming NoFraud. In those answers NoFraud took the first choice seventeen times and Stripe Radar eight.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where Stripe Radar and NoFraud stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
Claude Haiku 4.5
GPT-5.4 mini
Gemini 3.5 Flash
Perplexity Sonar
Grok 4.1 Fast
Mistral Small
DeepSeek V4 Flash
Llama 4 Maverick
Qwen 3.7 Flash
Kimi K2
GLM 4.7 FlashX
MiniMax M2.5
GPT-6 Luna
Muse Glimmer 30B
Stripe Radar NoFraud first choice named as an alternative argued againstblank: not namedEach cell is one answer, Stripe Radar on the left and NoFraud on the right.

The direct prompt

The plain question, one answer per model, grouped by where Stripe Radar and NoFraud stood in it.

Neither was the first choice, one was named

3 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Mistral SmallSignifyd alternatives: NoFraud, Sift
DeepSeek V4 FlashSEON alternatives: Sift, Signifyd, Stripe Radar
Llama 4 MaverickWyllo alternatives: NoFraud, SEON, Sift, Signifyd, cside

Neither was named

11 of 14 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5FraudNet, Trustmi alternatives: Kount, Sift, Signifyd
GPT-5.4 miniSift alternatives: Forter, Kount, Signifyd
Gemini 3.5 FlashSEON alternatives: Allianz Trade Pay, Sift, Signifyd, TreviPay
Perplexity SonarSEON alternatives: Kount, Sift, Signifyd
Grok 4.1 FastSift alternatives: Chargeflow, Fingerprint, SEON, Signifyd, Wyllo
Qwen 3.7 FlashSignifyd alternatives: Fingerprint, Kount
Kimi K2SEON alternatives: Eftsure, Kount, Trustmi
GLM 4.7 FlashXSignifyd alternatives: ClearSale, Eftsure, SEON, Sift
MiniMax M2.5ClearSale, SEON alternatives: Forter, Riskified
GPT-6 LunaSEON alternatives: Kount
Muse Glimmer 30BSignifyd, Wyllo, formerly NoFraud alternatives: Eftsure, SEON

Bold names in an answer are the products the judge labeled a first choice; a model naming several gives each of them that label. The full answer text for every row is in the record.

By buyer segment

The same question asked on behalf of a different buyer. Each standing is computed within its segment and they are never added together. The figures above are the mid-market standing, which is the one the category orders by.
Small business
NoFraud leads by fourteen points.
NoFraud34%#1 of 12
Stripe Radar20%#2 of 12
The full small business standing →
Mid-marketThe figures above
The order flips: Stripe Radar leads at mid-market.
Stripe Radar14%#3 of 11
NoFraud8%#5 of 11
The full mid-market standing →
Enterprise
Stripe Radar leads by seven points.
Stripe Radar7%#5 of 9
NoFraud0%#– of 9
The full enterprise standing →

What the models said about Stripe Radar

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of seven in this category shown.

“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

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of seven in this category shown.

“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
Also compared

Comparisons are drawn for the top eight products in each category, each against each. The output is the models' output; nothing here is a recommendation by the index.