Index › Finance › Receivables and billing › Ecommerce fraud › Sift vs NoFraud
Ecommerce fraud prevention · November 2026 Edition

Sift vs NoFraud

Four of fourteen models named Sift first on the direct prompt; zero named NoFraud. Sift was named by fourteen of the fourteen models and NoFraud by thirteen and Sift carries 50 labels and NoFraud 24, so the shares are not directly comparable.

Sift

accepted challenger

Named in two categories this edition.

NoFraud

accepted challenger

Named in one category this edition.

First-choice share9%9%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate16%12%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#4#5A position in a field of 11; printed, not drawn.
Labels5024A 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 NoFraud · 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 modelsNoFraud
Direct401 against NoFraud
Paraphrase10
Comparative00
Budget-constrained052 against Sift
Scale-constrained00
Negative006 against Sift · 2 against NoFraud
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 NoFraud were named in the same answer thirty-eight times, of the 180 answers naming Sift and the 76 naming NoFraud. In those answers NoFraud took the first choice six times and Sift zero.

Every model, every framing

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

The direct prompt

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

Sift first, NoFraud not the choice

4 of 14 modelsNoFraud 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
NoFraud leads by fourteen points.
NoFraud14%#2 of 14
Sift0%#12 of 14
The full small business standing →
Mid-marketThe figures above
Level: the same share of first choices.
Sift9%#4 of 11
NoFraud9%#5 of 11
The full mid-market standing →
Enterprise
The order flips: Sift leads at enterprise.
Sift13%#2 of 15
NoFraud0%#15 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 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
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.