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Index › Receivables and billing › Ecommerce fraud › SEON vs Stripe Radar
Ecommerce fraud prevention · October 2026 Edition

SEON vs Stripe Radar

Six of fourteen models named SEON first on the direct prompt; zero named Stripe Radar. SEON was named by thirteen of the fourteen models and Stripe Radar by twelve and SEON carries 34 labels and Stripe Radar 32, so the shares are not directly comparable.

SEON

accepted challenger

Named in three categories this edition.

Stripe Radar

accepted challenger

Named in two categories this edition.

First-choice share16%14%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate12%9%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#1#3A position in a field of 11; printed, not drawn.
Labels3432A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, SEON 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 Eftsure · SEON vs Signifyd · SEON 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.
SEONFirst choices, of fourteen modelsStripe Radar
Direct60
Paraphrase112 against Stripe Radar
Comparative101 against Stripe Radar
Budget-constrained162 against SEON
Scale-constrained00
Negative012 against SEON
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, SEON and Stripe Radar were named in the same answer fifty-two times, of the 121 answers naming SEON and the 107 naming Stripe Radar. In those answers Stripe Radar took the first choice thirteen times and SEON eight.

Every model, every framing

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

The direct prompt

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

SEON first, Stripe Radar an alternative

6 of 14 modelsStripe Radar was named in the answer but not as the choice, or not at all.
Gemini 3.5 FlashSEON alternatives: Allianz Trade Pay, Sift, Signifyd, TreviPay
Perplexity SonarSEON alternatives: Kount, Sift, Signifyd
DeepSeek V4 FlashSEON alternatives: Sift, Signifyd, Stripe Radar
Kimi K2SEON alternatives: Eftsure, Kount, Trustmi
MiniMax M2.5ClearSale, SEON alternatives: Forter, Riskified
GPT-6 LunaSEON alternatives: Kount

Neither was the first choice, one was named

4 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Grok 4.1 FastSift alternatives: Chargeflow, Fingerprint, SEON, Signifyd, Wyllo
Llama 4 MaverickWyllo alternatives: NoFraud, SEON, Sift, Signifyd, cside
GLM 4.7 FlashXSignifyd alternatives: ClearSale, Eftsure, SEON, Sift
Muse Glimmer 30BSignifyd, Wyllo, formerly NoFraud alternatives: Eftsure, SEON

Neither was named

4 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
Mistral SmallSignifyd alternatives: NoFraud, Sift
Qwen 3.7 FlashSignifyd alternatives: Fingerprint, 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 fifteen points.
Stripe Radar20%#2 of 12
SEON5%#5 of 12
The full small business standing →
Mid-marketThe figures above
The order flips: SEON leads at mid-market.
SEON16%#1 of 11
Stripe Radar14%#3 of 11
The full mid-market standing →
Enterprise
The order flips: Stripe Radar leads at enterprise.
Stripe Radar7%#5 of 9
SEON6%#6 of 9
The full enterprise standing →

What the models said about SEON

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

“SEON is often featured for flexible fraud signals, but it is not as clearly the cheapest option” Perplexity Sonar · budget prompt · soft negative
“SEON — Mixed Reviews (21% 1-star ratings) ... blackbox nature (opaque ML models)” GLM 4.7 FlashX · negative prompt · soft negative
“Examples of platforms using this model: Sift, Kount, SEON, Forter” Gemini 3.5 Flash · negative prompt · soft negative
“SEON offers modular fraud prevention tools with a free tier... particularly accessible to small and mid-market businesses” Claude Haiku 4.5 · budget prompt · first choice
“I'd recommend starting with ClearSale or SEON as they specifically target mid-market businesses” MiniMax M2.5 · direct prompt · first choice
“SEON is highly recommended for mid-market B2B companies that have an in-house operations or risk team” Gemini 3.5 Flash · direct prompt · first choice

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
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.