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Ecommerce fraud prevention · November 2026 Edition

Stripe Radar vs Signifyd

One of fourteen models named Stripe Radar first on the direct prompt; five named Signifyd. Stripe Radar was named by thirteen of the fourteen models and Signifyd by fourteen and Stripe Radar carries 42 labels and Signifyd 57, so the shares are not directly comparable.

Stripe Radar

accepted challenger

Named in two categories this edition.

Signifyd

accepted challenger

Named in two categories this edition.

First-choice share15%13%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate10%23%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#1#2A position in a field of 11; printed, not drawn.
Labels4257A 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.Sift was named alongside these two in ten of the fourteen direct answers. Stripe Radar vs SEON · Stripe Radar vs Sift · Stripe Radar 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.
Stripe RadarFirst choices, of fourteen modelsSignifyd
Direct151 against Stripe Radar · 1 against Signifyd
Paraphrase211 against Signifyd
Comparative051 against Stripe Radar
Budget-constrained504 against Signifyd
Scale-constrained01
Negative002 against Stripe Radar · 7 against Signifyd
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, Stripe Radar and Signifyd were named in the same answer eighty-nine times, of the 123 answers naming Stripe Radar and the 216 naming Signifyd. In those answers Signifyd took the first choice sixteen times and Stripe Radar twenty-eight.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where Stripe Radar and Signifyd 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
Stripe Radar Signifyd first choice named as an alternative argued againstblank: not namedEach cell is one answer, Stripe Radar on the left and Signifyd on the right.

The direct prompt

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

Stripe Radar first, Signifyd an alternative

1 of 14 modelsSignifyd was named in the answer but not as the choice, or not at all.
GLM 4.7 FlashXStripe Radar alternatives: SEON, Signifyd

Signifyd first, Stripe Radar an alternative

5 of 14 modelsStripe Radar was named in the answer but not as the choice, or not at all.
Perplexity SonarSignifyd alternatives: ClearSale, SEON, Sift
Mistral SmallClearSale, Signifyd alternatives: Stripe Radar, Sumsub
Llama 4 MaverickSignifyd
Kimi K2Signifyd alternatives: SEON, Sift, Wyllo
GPT-6 LunaSignifyd alternatives: Kount, Sift, Trustmi

Neither was the first choice, one was named

6 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Claude Haiku 4.5Trustpair alternatives: Riskified, SEON, Signifyd
GPT-5.4 miniSift alternatives: Forter, Riskified, Signifyd
Grok 4.20SEON alternatives: ClearSale, Sift, Signifyd, Stripe Radar
DeepSeek V4 FlashSEON alternatives: Sift, Signifyd
Qwen 3.7 FlashSift alternatives: LexisNexis Intelligent Investigator, Ping Identity, Signifyd, Wyllo
Muse Glimmer 30BClearSale alternatives: SEON, Sift, Signifyd, Trustpair

Neither was named

2 of 14 modelsThe answer made no first choice from these two in this category.
Gemini 3.5 FlashSift alternatives: Kount, SEON, Trustmi AI
MiniMax M2.5ClearSale, SEON, Sift alternatives: Kount

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
Stripe Radar leads by twenty-two points.
Stripe Radar34%#1 of 14
Signifyd12%#3 of 14
The full small business standing →
Mid-marketThe figures above
Stripe Radar leads by two points.
Stripe Radar15%#1 of 11
Signifyd13%#2 of 11
The full mid-market standing →
Enterprise
The order flips: Signifyd leads at enterprise.
Signifyd12%#3 of 15
Stripe Radar4%#8 of 15
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 eight in this category shown.

“Native Gateway Filters *(Stripe Radar, Shopify Protect)* | Fast setup, native integration, low/no setup cost. | Less granular control” Gemini 3.5 Flash · negative prompt · soft negative
“While powerful within the Stripe ecosystem, it's limited if you diversify payment gateways” Qwen 3.7 Flash · negative prompt · soft negative
“affordable, ML-driven, and easy to implement but less feature-rich than dedicated suites” Grok 4.20 · comparative prompt · soft negative
“If you are on Shopify or Stripe, turn on their native tools first (Stripe Radar / Shopify Protect)—they are usually more than enough for small businesses.” Gemini 3.5 Flash · budget prompt · first choice
“Stripe Radar stands out as the best ecommerce fraud prevention platform for companies with a limited budget.” Grok 4.20 · budget prompt · first choice
“If you are already processing payments through Stripe, this is arguably the best value on the market.” Qwen 3.7 Flash · budget prompt · first choice

What the models said about Signifyd

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

“reviews highlight issues with accuracy and billing” GLM 4.7 FlashX · negative prompt · hard negative
“far more accessible than enterprise-focused tools like Signifyd, Riskified, or Sift, which often target mid-market+ businesses and can cost thousands per month” Grok 4.20 · budget prompt · soft negative
“Guaranteed protection, zero liability for approved orders. | Higher fees per order; potential increase in false decline rates on borderline orders.” Gemini 3.5 Flash · negative prompt · soft negative
“One of the most widely adopted platforms, especially for mid-to-large merchants on Shopify, Magento, and BigCommerce.” Grok 4.20 · comparative prompt · first choice
“Compare Signifyd or Riskified if your priority is covered chargeback exposure and automated order decisions.” GPT-6 Luna · comparative prompt · first choice
“The best ecommerce fraud prevention platform for a mid-market B2B company is Signifyd.” Llama 4 Maverick · direct 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.