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.
Named in two categories this edition.
Named in one category this edition.
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.
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.
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| 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 |
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.
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
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
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.