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Ecommerce fraud prevention · November 2026 Edition

Sift vs Fingerprint

Four of fourteen models named Sift first on the direct prompt; zero named Fingerprint. Sift was named by fourteen of the fourteen models and Fingerprint by twelve and Sift carries 50 labels and Fingerprint 21, so the shares are not directly comparable.

Sift

accepted challenger

Named in two categories this edition.

Fingerprint

accepted challenger

Named in one category this edition.

First-choice share9%4%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate16%14%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#4#7A position in a field of 11; printed, not drawn.
Labels5021A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Sift 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 Sift · Stripe Radar vs Fingerprint · Signifyd vs Sift

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.
SiftFirst choices, of fourteen modelsFingerprint
Direct40
Paraphrase10
Comparative00
Budget-constrained022 against Sift
Scale-constrained00
Negative006 against Sift · 3 against Fingerprint
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, Sift and Fingerprint were named in the same answer thirty-six times, of the 180 answers naming Sift and the 50 naming Fingerprint. In those answers Fingerprint took the first choice two times and Sift two.

Every model, every framing

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

The direct prompt

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

Sift first, Fingerprint not the choice

4 of 14 modelsFingerprint was named in the answer but not as the choice, or not at all.
GPT-5.4 miniSift alternatives: Forter, Riskified, Signifyd
Gemini 3.5 FlashSift alternatives: Kount, SEON, Trustmi AI
Qwen 3.7 FlashSift alternatives: LexisNexis Intelligent Investigator, Ping Identity, Signifyd, Wyllo
MiniMax M2.5ClearSale, SEON, Sift alternatives: Kount

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.
Perplexity SonarSignifyd alternatives: ClearSale, SEON, Sift
Grok 4.20SEON alternatives: ClearSale, Sift, Signifyd, Stripe Radar
DeepSeek V4 FlashSEON alternatives: Sift, Signifyd
Kimi K2Signifyd alternatives: SEON, Sift, Wyllo
GPT-6 LunaSignifyd alternatives: Kount, Sift, Trustmi
Muse Glimmer 30BClearSale alternatives: SEON, Sift, Signifyd, Trustpair

Neither was named

4 of 14 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5Trustpair alternatives: Riskified, SEON, Signifyd
Mistral SmallClearSale, Signifyd alternatives: Stripe Radar, Sumsub
Llama 4 MaverickSignifyd
GLM 4.7 FlashXStripe Radar alternatives: SEON, Signifyd

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
Fingerprint leads by two points.
Fingerprint2%#8 of 14
Sift0%#12 of 14
The full small business standing →
Mid-marketThe figures above
The order flips: Sift leads at mid-market.
Sift9%#4 of 11
Fingerprint4%#7 of 11
The full mid-market standing →
Enterprise
Sift leads by thirteen points.
Sift13%#2 of 15
Fingerprint0%#14 of 15
The full enterprise standing →

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 seven in this category shown.

“Sift – if you don't have a dedicated risk team, due to complexity and false positives.” DeepSeek V4 Flash · negative prompt · hard negative
“specific complaints focus on the user experience and rule creation” GLM 4.7 FlashX · negative prompt · hard negative
“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
“Sift — *Best Overall for Digital B2B Storefronts & ATO Protection*” Gemini 3.5 Flash · direct prompt · first choice
“I'd recommend requesting demos from ClearSale, Sift, and SEON” MiniMax M2.5 · direct prompt · first choice
“A mid-market friendly, deployment-light option is Sift.” Muse Glimmer 30B · paraphrase prompt · first choice

What the models said about Fingerprint

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

“Fingerprint, for instance, has noted complaints about being "too high" for the value.” Grok 4.20 · negative prompt · soft negative
“Fingerprinting or risk scoring alone does not validate a purchase.” Perplexity Sonar · negative prompt · soft negative
“Pricing and accuracy are the most cited cons in aggregate reviews.” Muse Glimmer 30B · negative prompt · soft negative
“Fingerprint offers a free tier up to 1,000 API calls/month... one of the best options for businesses that need to recognize returning users” Claude Haiku 4.5 · budget prompt · first choice
“For very limited budgets, start with Fingerprint's free tier” MiniMax M2.5 · budget prompt · first choice
“provides a free tier with 1,000 web API calls per month, which is useful for basic fraud detection needs” Mistral Small · budget prompt · alternative
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.