Use case · Operations
AI fraud detection tools.
10 tools, 9 apps and 1 MCP server, assigned to this use case by a written definition. 6 of them are built mainly for this job. Filter by type, the platforms they work with and pricing.
- tools listed
- 10
- built mainly for this job
- 6
- apps
- 9
- MCP servers
- 1
Active filters
3 tools match your filters
Showing 1 to 3 of 3, ordered by main purpose first
How results are ordered
Tools whose main purpose is this job come first, then tools where it is a documented feature. Alphabetical within each. This is not a ranking of quality.
There are no paid placements on use-case pages, and no ratings.
FraudStar
AppShopify app that scores incoming orders against MaxMind minFraud, giving each order a risk score and warnings so staff can approve or reject before fulfilment.
Main purposeScores incoming orders with MaxMind minFraud signals for approve/hold/reject and chargeback protection.
WooCommerce
- Pricing
- Paid
- Price
- From $7.5 a month
- Free plan
- No
- Free trial
- No
Lumus
AppRisk orchestration and identity verification platform that scores orders for fraud and runs biometric ID checks to prevent chargebacks.
Main purposeRisk-scores checkout sessions, verifies identity on risky orders, and builds chargeback representment evidence.
- Pricing
- Paid
- Price
- From $60 a month
- Free plan
- No
- Free trial
- No
Genni
AppShopify app that reads product data and reviews to generate AI product summaries, sizing insights and answers to shopper questions on product pages.
A documented featureUses device fingerprinting, geolocation, link analysis and consortium data to detect fraud rings and resellers at checkout.
Shopify
- Pricing
- Paid
- Price
- From $5 a month
- Free plan
- No
- Free trial
- No
From the ecommerceguide dataset
Fraud and chargebacks tools in numbers
Calculated from all 10 tools on this page's list. Percentages are of the group named.
How tools are assigned to a use case
What this page includes
Order fraud scoring, chargeback prevention and dispute management, payment risk decisioning for online stores.
Not included: General cybersecurity. Payment processors where fraud screening is not a documented feature.
How the assignment is made
Each use case has a written definition of what qualifies and what does not. A language model (Claude) reads each tool's listing, its summary and, for MCP servers, the verified integrations and tasks, and assigns it only where the definition fits. It sees no earlier assignments. 670 tools were classified, most recently in Sept 2026.
Main purpose or a feature
“Main purpose” means doing this job is what the tool is for. “A documented feature” means a named feature does the job but the tool's main purpose is something else. Anything weaker is left out. A tool can appear in at most three use cases.
What has to be true first
A tool appears here only once it is listed in its own section: MCP servers after their repository or documentation is verified, apps after their site and listing are reviewed. A use case gets its own page only with at least 10 such tools.
What the facts show
For apps, the pricing model and free plan or trial as recorded from the app's pricing page. For MCP servers, how they run, how they authenticate and who maintains them. “Works with” for apps comes from the listing's own text and is not a tested integration.
Order and corrections
Main-purpose tools first, then alphabetical. No paid placements and no ratings. Corrections: hello@ecommerceguide.com.