AI Indexes
Finance AI Index
Index › Receivables and billing › Ecommerce fraud › Stripe Radar vs Sift
Ecommerce fraud prevention · October 2026 Edition

Stripe Radar vs Sift

Zero of fourteen models named Stripe Radar first on the direct prompt; two named Sift. Stripe Radar was named by twelve of the fourteen models and Sift by fourteen and Stripe Radar carries 32 labels and Sift 44, so the shares are not directly comparable.

Stripe Radar

accepted challenger

Named in two categories this edition.

Sift

accepted challenger

Named in three categories this edition.

First-choice share14%4%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate9%16%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#3#6A position in a field of 11; printed, not drawn.
Labels3244A 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 Sift · 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 modelsSift
Direct02
Paraphrase102 against Stripe Radar · 2 against Sift
Comparative021 against Stripe Radar
Budget-constrained60
Scale-constrained00
Negative105 against Sift
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 Sift were named in the same answer fifty-four times, of the 107 answers naming Stripe Radar and the 161 naming Sift. In those answers Sift took the first choice five times and Stripe Radar twelve.

Every model, every framing

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

The direct prompt

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

Sift first, Stripe Radar not the choice

2 of 14 modelsStripe Radar was named in the answer but not as the choice, or not at all.
GPT-5.4 miniSift alternatives: Forter, Kount, Signifyd
Grok 4.1 FastSift alternatives: Chargeflow, Fingerprint, SEON, Signifyd, Wyllo

Neither was the first choice, one was named

7 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Claude Haiku 4.5FraudNet, Trustmi alternatives: Kount, Sift, Signifyd
Gemini 3.5 FlashSEON alternatives: Allianz Trade Pay, Sift, Signifyd, TreviPay
Perplexity SonarSEON alternatives: Kount, Sift, Signifyd
Mistral SmallSignifyd alternatives: NoFraud, Sift
DeepSeek V4 FlashSEON alternatives: Sift, Signifyd, Stripe Radar
Llama 4 MaverickWyllo alternatives: NoFraud, SEON, Sift, Signifyd, cside
GLM 4.7 FlashXSignifyd alternatives: ClearSale, Eftsure, SEON, Sift

Neither was named

5 of 14 modelsThe answer made no first choice from these two in this category.
Qwen 3.7 FlashSignifyd alternatives: Fingerprint, Kount
Kimi K2SEON alternatives: Eftsure, Kount, Trustmi
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
Stripe Radar leads by nineteen points.
Stripe Radar20%#2 of 12
Sift2%#7 of 12
The full small business standing →
Mid-marketThe figures above
Stripe Radar leads by ten points.
Stripe Radar14%#3 of 11
Sift4%#6 of 11
The full mid-market standing →
Enterprise
The order flips: Sift leads at enterprise.
Sift11%#3 of 9
Stripe Radar7%#5 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 Sift

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

“Can be complex to configure; occasional false positives requiring manual review. Not ideal for very small teams due to setup overhead.” Grok 4.1 Fast · negative prompt · soft negative
“Unlike consumer-focused tools (like Sift or Stripe Radar), these are specifically designed for B2B payment workflows” Kimi K2 · paraphrase prompt · soft negative
“Some users note that the system can occasionally generate false positives, which may require additional review time.” Claude Haiku 4.5 · negative prompt · soft negative
“Start with Sift for most mid-market B2B ecommerce—it's consistently #1 in G2 rankings for balanced performance without overkill.” Grok 4.1 Fast · direct prompt · first choice
“Sift maintains #1 position across all fraud prevention categories in G2's Fall 2025 Reports” Muse Glimmer 30B · comparative prompt · first choice
“Sift - Top-rated on G2 for real-time detection.” Grok 4.1 Fast · 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.