Feature Comparison · 2026

Agentis vs Signifyd

Quick Verdict

Signifyd is a fraud prevention and chargeback liability shift tool. Agentis works after an order is placed and before it ships: within 60 seconds it computes the order's true net margin from NetSuite COGS, freight, fees, and FX, then flags it or holds it before fulfillment under rules you approve. They solve different problems and often run side by side.

By Herzel MishelFounder, AgentisLast reviewed

The Core Difference

Signifyd excels at fraud prevention and chargeback liability shift. That is its job, and the strengths and limitations below are judged on margin protection only, not on everything the product does.

Agentis sits at a specific point in the order lifecycle: between order placed and order shipped. Within 60 seconds of each order on your Shopify, Shopify Plus, or SHOPLINE store, it computes true net margin using live COGS from Oracle NetSuite plus freight, fees, and FX. Orders below your margin floor are flagged with the leak and a recommended fix, or automatically held before fulfillment under rules you approve, and every decision is logged to the Evidence Ledger.

The result: you catch a below-margin order while it can still be fixed, instead of finding it at month-end close.

Feature-by-Feature Comparison

FeatureAgentisSignifyd
True net margin on every order (COGS, freight, fees, FX)
COGS tracking
Margin alerts
Shopify Plus integration
NetSuite / ERP integration
Freight cost modeling
FX rate adjustment
Holds below-margin orders before they ship
Profit dashboard
Ad attribution
LTV analytics

Why choose Agentis

  • Computes true net margin on every order within 60 seconds of it being placed
  • Holds below-margin orders before fulfillment under rules you approve, or flags them with a recommended fix
  • Uses live COGS from Oracle NetSuite (commonly via Celigo)
  • Includes freight, payment fees, and FX in each order's margin
  • Works after the order is placed, so the shopper's checkout is untouched
  • Works with Shopify, Shopify Plus, and SHOPLINE, and logs every decision to an Evidence Ledger

When to choose Signifyd

Choose Signifyd if your primary challenge is fraud and chargebacks: high-risk product categories (luxury goods, gift cards, electronics), elevated chargeback rates, or international shipping where fraud risk is structurally higher. Signifyd is best-in-class for that domain. For margin governance on fraud-clean orders, Agentis is the complementary layer. Both act on orders before they ship, Signifyd on fraud risk and Agentis on margin, so together they cover both.

Signifyd Strengths

  • Industry-leading fraud detection accuracy with machine-learning models trained on global ecommerce fraud patterns
  • Chargeback guarantee: Signifyd financially backs approved orders against fraud chargebacks
  • Real-time decisioning at checkout with sub-second response times
  • Strong Shopify Plus integration with native checkout extensibility hooks

Honest Assessment

Where Signifyd falls short for margin protection

  • Fraud-focused; does not address margin governance, discount stacking, or COGS-aware enforcement
  • Pricing typically requires a chargeback-backed model (percentage of GMV) that may be cost-prohibitive for low-fraud merchants
  • Approval/decline decisions are based on fraud risk, not margin: a fraud-clean below-margin order will still confirm
  • Requires significant order volume to maximize ML model accuracy

Frequently Asked Questions

What is the difference between Agentis and Signifyd?

Signifyd evaluates fraud risk on incoming orders and either approves with a chargeback guarantee, declines, or refers for review. Agentis evaluates margin: within 60 seconds of each order being placed it computes true net margin from live NetSuite COGS, freight, fees, and FX, and orders below your margin floor are flagged or held before fulfillment under rules you approve. Fraud and margin are separate dimensions of order risk; most mid-market merchants need protection on both. Signifyd's strengths are industry-leading fraud detection accuracy from machine-learning models trained on global ecommerce fraud patterns, a chargeback guarantee that financially backs approved orders against fraud chargebacks, real-time decisioning with sub-second response times, and a strong Shopify Plus integration with native checkout extensibility hooks. Its limitation in this comparison is scope: it does not address margin governance, discount stacking, or COGS-aware checks, so a fraud-clean below-margin order will still go through. A merchant should ask which risk is costing more, chargebacks or unprofitable orders, and cover the larger one first.

Does Signifyd enforce profit floors on approved orders?

No. Signifyd's decisioning is based on fraud risk; an order that is fraud-clean but below margin floor (because of stacked discounts, COGS drift, or freight underestimation) will be approved by Signifyd and ship at a loss. Margin checks require a separate layer that has access to product cost data; that is what Agentis provides, computing each order's net margin after it is placed and flagging or holding below-floor orders before fulfillment. This is by design: Signifyd's decisioning is built on machine-learning models trained on fraud patterns, and its chargeback guarantee covers fraud losses, not margin losses. Its real-time decisioning and native Shopify Plus checkout extensibility hooks place it early in the order flow, but it is answering a different question. Merchants with heavy discounting, volatile COGS, or underestimated freight should not assume fraud approval implies profitability, and should confirm which system, if any, evaluates cost on each order.

Can I use Signifyd and Agentis together?

Yes. Signifyd handles fraud screening; Agentis handles margin. Both act before an order ships: Signifyd answers 'is this order legitimate' and Agentis, within 60 seconds of the order being placed, answers 'is this order's margin acceptable,' flagging or holding it before fulfillment if not. An order you ship as-is should pass both checks. Signifyd's real-time decisioning with sub-second response times and its native Shopify Plus checkout extensibility hooks make it straightforward to run alongside a margin layer. Signifyd is best-in-class for fraud and chargebacks, particularly in high-risk categories such as luxury goods, gift cards, and electronics, or on international shipments where fraud risk is structurally higher. Agentis adds nothing to fraud detection and Signifyd adds nothing to margin governance, so there is no overlap to reconcile. Size each layer to your own exposure: chargeback rate for the fraud side, discount depth and cost volatility for the margin side.

Is Signifyd worth it for low-fraud-risk merchants?

Probably not. Signifyd's pricing model is a percentage of approved GMV (typically 0.4–1.5%), which is justified when chargeback exposure is high. For categories with low fraud risk and stable chargeback history, the cost of Signifyd outweighs the benefit. In those cases, Shopify-native fraud screening plus Agentis for margin governance is usually the better economics. Signifyd also requires significant order volume to maximize its ML model accuracy, which is another reason smaller or lower-risk merchants see less value from it. Its strengths remain real for the right profile: industry-leading detection accuracy, a chargeback guarantee, and sub-second real-time decisioning. The merchants who benefit most sell in high-risk categories such as luxury goods, gift cards, or electronics, carry elevated chargeback rates, or ship internationally. A merchant should compare its actual chargeback losses against what a chargeback-backed model would cost on its GMV, and treat margin governance as a separate decision.

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