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Ecommerce fraud prevention · November 2026 Edition

NoFraud vs Forter

Zero of fourteen models named NoFraud first on the direct prompt; zero named Forter. NoFraud was named by thirteen of the fourteen models and Forter by fourteen and NoFraud carries 24 labels and Forter 33, so the shares are not directly comparable.

NoFraud

accepted challenger

Named in one category this edition.

Forter

accepted challenger

Named in two categories this edition.

First-choice share9%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate12%18%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#5#8A position in a field of 11; printed, not drawn.
Labels2433A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, NoFraud reading right to left. Rank and label count are printed, not drawn.Signifyd was named alongside these two in twelve of the fourteen direct answers. Stripe Radar vs NoFraud · Stripe Radar vs Forter · Signifyd vs NoFraud

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.
NoFraudFirst choices, of fourteen modelsForter
Direct001 against NoFraud · 2 against Forter
Paraphrase00
Comparative02
Budget-constrained502 against Forter
Scale-constrained01
Negative002 against NoFraud · 2 against Forter
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 November 2026 Edition, NoFraud and Forter were named in the same answer twenty-three times, of the 76 answers naming NoFraud and the 99 naming Forter. In those answers Forter took the first choice zero times and NoFraud three.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where NoFraud and Forter stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
Claude Haiku 4.5
GPT-5.4 mini
Gemini 3.5 Flash
Perplexity Sonar
Grok 4.20
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
NoFraud Forter first choice named as an alternative argued againstblank: not namedEach cell is one answer, NoFraud on the left and Forter on the right.

The direct prompt

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

Neither was the first choice, one was named

1 of 14 modelsThe answer put something else first and named one of the two as an alternative.
GPT-5.4 miniSift alternatives: Forter, Riskified, Signifyd

Neither was named

13 of 14 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5Trustpair alternatives: Riskified, SEON, Signifyd
Gemini 3.5 FlashSift alternatives: Kount, SEON, Trustmi AI
Perplexity SonarSignifyd alternatives: ClearSale, SEON, Sift
Grok 4.20SEON alternatives: ClearSale, Sift, Signifyd, Stripe Radar
Mistral SmallClearSale, Signifyd alternatives: Stripe Radar, Sumsub
DeepSeek V4 FlashSEON alternatives: Sift, Signifyd
Llama 4 MaverickSignifyd
Qwen 3.7 FlashSift alternatives: LexisNexis Intelligent Investigator, Ping Identity, Signifyd, Wyllo
Kimi K2Signifyd alternatives: SEON, Sift, Wyllo
GLM 4.7 FlashXStripe Radar alternatives: SEON, Signifyd
MiniMax M2.5ClearSale, SEON, Sift alternatives: Kount
GPT-6 LunaSignifyd alternatives: Kount, Sift, Trustmi
Muse Glimmer 30BClearSale alternatives: SEON, Sift, Signifyd, Trustpair

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.
NoFraud14%#2 of 14
Forter0%#14 of 14
The full small business standing →
Mid-marketThe figures above
NoFraud leads by seven points.
NoFraud9%#5 of 11
Forter2%#8 of 11
The full mid-market standing →
Enterprise
The order flips: Forter leads at enterprise.
Forter4%#7 of 15
NoFraud0%#15 of 15
The full enterprise standing →

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.

“Received an overwhelmingly negative rating (1.8/5) on Trustpilot, with multiple users calling the company "frauds" and warning others not to use their service.” Mistral Small · negative prompt · hard negative
“The platforms you should most likely avoid ... are: 1. NoFraud – if you're a small business, due to false declines and poor customer experience.” DeepSeek V4 Flash · negative prompt · hard negative
“may be less suitable for complex B2B workflows” Perplexity Sonar · direct prompt · soft negative
“NoFraud ⭐ Best Overall for Small Business ... start with NoFraud's free tier (up to 100 orders)” Kimi K2 · budget prompt · first choice
“NoFraud is best for small Shopify stores and has a free Lite tier with published starter pricing.” Llama 4 Maverick · budget prompt · first choice
“best fit is usually NoFraud / Wyllo, or ClearSale if you want a more established option” GPT-5.4 mini · budget prompt · first choice

What the models said about Forter

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

“Avoid enterprise platforms like Riskified, Forter, and Kount” DeepSeek V4 Flash · budget prompt · hard negative
“Premium pricing: Listed at $120K/year on AWS Marketplace for under 1M decisions—significantly more expensive than competitors” Kimi K2 · negative prompt · soft negative
“if you need enterprise-grade protection with chargeback guarantees (though they're primarily enterprise-focused)” MiniMax M2.5 · direct prompt · soft negative
“Tier 1 (Enterprise/High Touch): Forter, Signifyd. (High cost, full liability guarantee, heavy focus on human-in-the-loop workflows).” Qwen 3.7 Flash · scale prompt · first choice
“Choose Riskified or Forter for high-volume retail, international sales, and aggressive false-decline reduction.” Perplexity Sonar · comparative prompt · first choice
“It is widely considered the industry standard for high-volume transactions.” Qwen 3.7 Flash · comparative 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.