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Index › Products › Stripe Radar · October 2026 Edition
Stripe · 2 categories · Ranked

Stripe Radar

107Judge labels
23First choices
8Negative labels
14 / 14Models named it
2Categories
October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10.7, every buyer segment counted.
Best standing
20% in Ecommerce fraud for small business buyers
Rank 3 of 70 in the mid-market standingaccepted challenger
0 of 14 models made it the first choice on the direct prompt; 9% of its 32 labels there were negative.
What the models named instead of Stripe Radar →
By buyer segmentStrongest at small business.
In ecommerce fraud · each standing computed within its segment · bars are 0 to 100 · the accent bar is the product's own best reading

Standing by category

Every category where a model named Stripe Radar for a mid-market B2B company. Share is first choices across the direct, paraphrase, budget and scale prompts; rank is within every product named in that category.
CategoryFunctionShareRankNegative rateLabelsQuadrantSince September 2026
Ecommerce fraud preventionReceivables and billing14%3 of 709%32accepted challenger
Chargeback managementReceivables and billing0%22 of 810%4under 10 labels · led by Chargeflow at 24%

Movement

This is the first edition on this tier, so no move can be computed for Stripe Radar yet. From the next edition this section shows, per buyer segment and per category, whether its share moved by more than the measured noise floor.

By model

How each model treated Stripe Radar across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.
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ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.501001
GPT-5.4 mini20013
Gemini 3.5 Flash02002
Perplexity Sonar02103
Grok 4.1 Fast21014
Mistral Small12104
DeepSeek V4 Flash03003
Llama 4 Maverick00000
Qwen 3.7 Flash03205
Kimi K203115
GLM 4.7 FlashX01001
MiniMax M2.510001
GPT-6 Luna11103
Muse Glimmer 30B10001

By framing

Which of the six questions produced the naming. By model says how often; this says asked what. The first-choice count on the right carries the marks of the models that produced it.
FramingLabels by classFirst choices
Direct11 labels2
Paraphrase20 labels10
Comparative23 labels4not counted in share
Budget-constrained29 labels11
Scale-constrained9 labelsNone
Negative15 labels4not counted in share
First choiceAlternativeMentionNegative107 labels in all, every segment counted; 23 of the 31 first choices count toward share, since the comparative and negative framings do not. The bar is one segment per label class, to scale within the framing.

What the models said for it

Verbatim evidence the judge attached to positive labels.

“the best ecommerce fraud prevention platform is usually Stripe Radar if you already process payments through Stripe” GPT-5.4 mini · Ecommerce fraud · 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 · Ecommerce fraud · budget prompt · first choice
“If you already process payments through Stripe, start with Stripe Radar (free for the basic plan).” MiniMax M2.5 · Ecommerce fraud · budget prompt · first choice
“my default recommendation would be Stripe Radar if you already use Stripe for payments” GPT-5.4 mini · Ecommerce fraud · paraphrase prompt · first choice

And against it

Verbatim evidence attached to negative labels. A warning on a product with few labels is a warning; on a product with many, it is one voice among them.

“scalable for mid-sized but more e-commerce/B2C oriented—less ideal for pure B2B vendor payments” Grok 4.1 Fast · Ecommerce fraud · 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 · Ecommerce fraud · comparative prompt · soft negative
“More focused on consumer/card transactions than pure B2B vendor payments” Kimi K2 · Ecommerce fraud · paraphrase prompt · soft negative

Named alongside

The products named in the same answers as Stripe Radar, over the 107 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Stripe Radar was named but was not.
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ProductSame answerTook the first choice insteadHead to head
Sift54 of 1075Compare →
SEON52 of 1078Compare →
Riskified47 of 1073Not among the top eight
Kount43 of 1070Not among the top eight
Forter40 of 1073Not among the top eight
Fingerprint22 of 1070Not among the top eight
Chargeflow14 of 1075Not among the top eight
A head-to-head page exists where both products are among a category's top eight. The other rows are the same fact without a page behind them, so they link to the product instead.

What carried it into the answer

The sites and pages cited by the answers that named Stripe Radar. A fact about retrieval, not a lever on the model.

Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 100 of the 107 answers that named Stripe Radar and are not a share of its labels.

Domains cited

g2.com63
stripe.comYour site56
fraud.net45
clickpost.ai44
fingerprint.com41
guideflow.com41
learn.g2.com40
cside.com35
whop.com33
shoplazza.com26

368 of the 424 domain citations in answers naming Stripe Radar came from somebody else's page.

Pages cited

Pages are listed as the models cited them.

Search and answers

Where Stripe Radar stands in Google search beside where it stands in the models' answers.
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In search

Google, US estimates
Searches for its name, Google
1,000 a month (“stripe radar”)
AI search demand for its name, est.
35 a month
Its own site
It sits on Stripe's site (stripe.com), so there are no site figures for it alone

In answers

This edition
Share of first choices
14%
rank 3 of 70 in ecommerce fraud
Segment leader
16%
SEON
First choices
23 across its categories
Named in
107 answers
Its own site cited
in 100 of the answers that named it

Search figures are US estimates from DataForSEO, read October 5, 2026; AI search demand is its modeled, directional estimate, not a count of queries to any assistant. The answers are this edition's. Two measurements side by side: neither is read as the cause of the other.

Names read as Stripe Radar

What the judge wrote, as written, with how often. The vendor table decides that these count as Stripe Radar; a claim can dispute any of them.
Stripe 2Stripe (Radar) 1Stripe Radar / Native Tools 1

Follow Stripe Radar

An email the morning each edition publishes: where this product moved, where it held, and by how much against the noise floor. One address, confirmed by a click; a stop link in every email.

Already following? Everything you follow, with a stop for each.

The company

Stripe is the company behind Stripe Radar.
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In its own words

Stated by the vendor, not checked
Positioning
Use Stripe Radar to protect your business against fraud.
For
your business
Price stated
Starting at $10 per month; Starting at $14 per month; Starting at $20 per month; Starting at $20 per month; Starting at $44 per month; Starting at $70 per month stripe.com/radar/pricing
Starting price
10 stripe.com/radar/pricing
Free plan or trial
Try Stripe Radar stripe.com/radar/guide
Not stated on the pages read
Integrations, certifications, hosting, customers

What Stripe Radar's own pages state, read October 5, 2026: docs.stripe.com/radar, stripe.com/radar/guide, stripe.com/radar/pricing, docs.stripe.com/radar/rules, docs.stripe.com/radar/lists. A claimed page can correct any of them.

Is this your product?

Claim this page

Claiming is free and changes nothing in the data. A claimed page shows a verified contact who is told when each edition publishes and when Stripe Radar's standing changes by more than the noise floor; the right to propose corrections to the vendor table, meaning names the judge wrote that should or should not read as Stripe Radar, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.

What a new claim receivesHide what a new claim receives

A new claim receives the current edition's vendor brief for Stripe Radar by email, built from the raw record of the edition. It shows:

  • where Stripe Radar is named, by buyer and by framing, and which cells hold its first choices;
  • the claims the models make when they name it, ranked, with the strongest and the weakest quoted;
  • its vocabulary against the segment leader's, and the pages the models cited;
  • who was chosen in the answers that did not name Stripe Radar, and every reason the record gives;
  • a battlecard for each top rival: the head-to-head split, why they win, and the reservation quoted against them;
  • one page of published figures cleared to show a buyer.
The subscriber app

A verification link goes to your work email; an address at stripe.com is approved on the spot, any other is reviewed by hand. Your email is never published. Claiming gives no say over labels, shares, verdicts or which quotes appear.

Badges

Wins only: a badge exists where Stripe Radar is ranked in a category's top three this edition. Three sizes, one file each, light and dark; the code is under each.
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Stripe Radar is among the products AI models recommend first in Ecommerce fraud prevention this edition. Each badge says so in the buyer's words, names the edition, and links to the standing. The next edition issues a new badge; this one stays true as a record of October 2026.

Wide · 320 × 104 Website, beside other badges
Among AI models' top three in Ecommerce fraud prevention, October 2026 Edition, Finance AI Recommendation Index
Show the code
<a href="https://finance-ai-index.com/receivables/ecommerce-fraud-prevention/"><img src="https://finance-ai-index.com/badges/2026-10/stripe-radar--ecommerce-fraud-prevention-wide.svg" alt="Among AI models' top three in Ecommerce fraud prevention, October 2026 Edition, Finance AI Recommendation Index" width="320" height="104"></a>

Copy the code as it is. The link is part of the badge: it points at the Ecommerce fraud prevention standing, where the claim can be checked.

Square · 240 × 240 LinkedIn, slides
Among AI models' top three in Ecommerce fraud prevention, October 2026 Edition, Finance AI Recommendation Index
Show the code
<a href="https://finance-ai-index.com/receivables/ecommerce-fraud-prevention/"><img src="https://finance-ai-index.com/badges/2026-10/stripe-radar--ecommerce-fraud-prevention-square.svg" alt="Among AI models' top three in Ecommerce fraud prevention, October 2026 Edition, Finance AI Recommendation Index" width="240" height="240"></a>

Copy the code as it is. The link is part of the badge: it points at the Ecommerce fraud prevention standing, where the claim can be checked.

Compact · 200 × 56 Email signature, footer
Among AI models' top three in Ecommerce fraud prevention, October 2026 Edition, Finance AI Recommendation Index
Show the code
<a href="https://finance-ai-index.com/receivables/ecommerce-fraud-prevention/"><img src="https://finance-ai-index.com/badges/2026-10/stripe-radar--ecommerce-fraud-prevention-compact.svg" alt="Among AI models' top three in Ecommerce fraud prevention, October 2026 Edition, Finance AI Recommendation Index" width="200" height="56"></a>

Copy the code as it is. The link is part of the badge: it points at the Ecommerce fraud prevention standing, where the claim can be checked.

Badges read on light and dark pages. Alt text carries the claim, the category, the edition and the index, so it stays a citation where the image does not load.