MIR vs Signifyd
Two Shopify apps, side by side: detected stores, momentum, reviews, plans, listed features and who runs each. Store counts as of Feb 19, 2026 for MIR, Nov 9, 2026 for Signifyd.
The short answer
- Signifyd lists 10 features MIR’s listing doesn’t mention, including AI-powered detection, Automated workflows, Blocklists.
Head to head
Maximize Revenue by Preventing Fraud Orders & Customer Abuse
Momentum
New reviews each month
Review pace is the clearest public read on how fast an app is winning new merchants.
Free
Coverage counts what each App Store listing names. Every feature, checked off app by app, is in Shoplist.
See every featureMIR provides merchants with privacy-first, non-identifying participation history signals that persist across platforms. Unlike fraud tools or scoring systems, MIR does not profile users, store personal details, or automate decisions. It simply indicates whether an account is new or established elsewhere, giving merchants added context at key moments while keeping control and judgment entirely in the merchant’s hands.
Signifyd provides AI-powered decisioning and financial guarantees to protect your entire customer journey, from checkout through returns. Guaranteed Fraud Protection offers instant decisions at checkout, backed by a financial guarantee against fraud chargebacks on all approved orders. This shifts liability away from the merchant, letting you grow fearlessly.
- Cross-platform account history context without personal data
- Privacy-first signals with no profiles, scores, or tracking
- Merchant-controlled use with no automated blocking or enforcement
- Chargeback Protection: Obtain a full guarantee on approved orders, fraud or not
- Real-time decisions, zero risk with Signifyd's identity and intent intelligence
- Protect + grow revenue: Signifyd fraud protection helps approve more good orders
- Insights Reporting identifies trends and patterns of fraud before they occur








All the numbers
Every figure, side by side
A green dot marks the app ahead on a measured figure. Estimates, gaps and apps that leave no storefront trace never take the lead.
Adoption
| Measure | MIR | Signifyd |
|---|---|---|
| Detected stores | Not published | 2,244 |
| Net store change, 28 days | 0 | −18 |
| Stores added, 28 days | Not enough data | 10 |
| Big-brand share | Not enough data | 39% |
| Top store categories | Not published | Apparel & Accessories, Health & Beauty, Electronics |
| Top store countries | Not published | United States, Canada, United Kingdom |
Reviews
| Measure | MIR | Signifyd |
|---|---|---|
| App Store rating | Not published | 4.4 ★ |
| App Store reviews | Not published | 92 |
| New reviews, 28 days | Not enough data | 2 |
| Reviewers a year or more in | Not enough data | Not enough data |
FAQ
MIR and Signifyd: common questions
- What features does each app list that the other doesn’t?
- MIR lists 1 the others don’t mention, such as Fake accounts. Signifyd lists 10 the others don’t mention, such as AI-powered detection, Automated workflows, Blocklists, Bots. A feature missing from a listing may still be supported; this compares what each App Store listing says.
- Where does this comparison’s data come from?
- Shoplist crawls Shopify storefronts to detect which apps each store runs, and reads each app’s Shopify App Store listing for reviews, pricing, features and integrations. Store counts are as of Feb 19, 2026 for MIR, Nov 9, 2026 for Signifyd; estimated figures are labeled.
How Shoplist compares apps
Store counts come from Shoplist’s crawl of Shopify storefronts, which detects the apps each store runs; they are as of Feb 19, 2026 for MIR, Nov 9, 2026 for Signifyd. Reviews, ratings, plans, features and integrations come from each app’s Shopify App Store listing. 28-day figures are labeled when estimated, and a figure that is missing or estimated never decides who leads. Read the methodology.















