Signifyd vs Riskified vs NoFraud: Fraud Prevention for Headless Shopify Plus (2026)

On a hosted Shopify theme, fraud protection is close to invisible: you enable a service, orders get scored, and the flagged ones surface in an admin queue. Go headless and the shape of the problem changes. The storefront is now a Hydrogen or Next application, the checkout is decoupled, and the fraud decision becomes an explicit API call that sits on the path between a customer clicking pay and an order being accepted. That means latency, integration surface, and where in the flow the decision happens are now your problems to design, not the platform's to hide. This post compares the three fraud platforms most enterprise Shopify Plus teams actually evaluate, Signifyd, Riskified, and NoFraud, on the axes that decide a headless fit.

Dimension	Signifyd	Riskified	NoFraud
Core model	Guaranteed fraud protection	Chargeback guarantee	Guarantee plus ROI focus
Financial liability	Signifyd pays covered chargebacks	Riskified pays covered chargebacks	NoFraud pays covered chargebacks
Pricing structure	Percent of covered order value	Percent of approved order value	Percent per transaction, flatter tiers
Decision latency (typical)	Sub second async plus review	Sub second, high auto approve	Sub second, human review on edge
Best fit	Large enterprise, broad coverage	High volume, approval-rate obsessed	Mid market wanting transparent pricing
Headless integration	API plus platform connectors	API, Shopify checkout hooks	API, lighter integration surface

All three shift the financial liability for approved-then-fraudulent orders off your books and onto theirs, which is the entire value proposition of a guarantee model. The differences are in how they price that guarantee, how aggressively they approve, and how cleanly the decision drops into a decoupled checkout. The platform with the best headline accuracy number is not automatically the one that nets you the most revenue after fees and false declines.

The Guarantee Model Is the Whole Point

The reason to buy any of these three over a raw risk score is that they take on the chargeback liability. When the platform approves an order and that order turns out to be fraudulent, the platform reimburses the chargeback, not you. That transfer of financial risk is what separates a fraud guarantee service from a rules engine that merely scores orders and leaves the decision, and the loss, with you.

The mechanics are similar across all three: they analyze the order in real time, return an approve or decline decision, and stand behind the approvals they issue. Where they differ is what the guarantee is priced against. Signifyd charges a percentage of covered order value. Riskified charges a percentage of approved order value, aligning its incentive with approving more. NoFraud leans toward a flatter per transaction structure that is easier to model as volume scales. Those pricing bases change the math materially at high average order value, and modeling your own AOV and chargeback rate against each structure is the single most important spreadsheet exercise before you sign. This is the same liability shifting logic that governs how payment processors and BNPL providers price risk, which we walk through in the Klarna versus Afterpay BNPL comparison.

Approval Rate vs False Declines Is the Revenue Number

Every fraud vendor markets a chargeback rate, and it is the wrong number to fixate on. Any system can drive chargebacks to near zero by declining aggressively; the cost is false declines, legitimate customers turned away at checkout, and those are pure lost revenue that never shows up on a fraud report because a declined order leaves no trace. The metric that actually matters is approval rate at a given chargeback guarantee: how much good business the platform lets through while still standing behind the losses.

Riskified builds its entire pitch around this axis, optimizing for the highest auto approval rate so fewer good customers get bounced, which is why it appeals to high volume merchants where a single point of approval rate is a large revenue number. Signifyd approves broadly too and pairs it with deep review capacity for the enterprise edge cases. NoFraud positions its human review on borderline orders as the mechanism that recovers approvals a pure model would decline, which is attractive to mid market merchants who feel the sting of false declines but do not have the volume to tune a model themselves. The right question to ask any of them in a trial is not "what is your chargeback rate" but "what is your approval rate at that chargeback rate on our traffic," because the second number is the one that determines revenue.

Where the Fraud Decision Fits in a Headless Checkout

This is the axis a hosted merchant never thinks about and a headless team cannot avoid. In a decoupled architecture you decide where the fraud call happens, and there are two viable placements, each with a tradeoff.

Synchronous at checkout means you call the fraud API before confirming the order, block on the decision, and either accept or decline in the moment. It gives the customer an immediate outcome and prevents a fraudulent order from ever entering fulfillment, but it puts a network round trip on the critical path, so the vendor's latency directly becomes your checkout latency. Asynchronous after order creation means you accept the order, place it in a pending state, and let the fraud decision resolve moments later out of band, releasing to fulfillment only on approval. It keeps the checkout fast and the decision off the critical path, at the cost of a brief window where a to be declined order exists in your system and must be cleanly cancelled and refunded.

// Async pattern: accept fast, gate fulfillment on the fraud verdict.
async function onOrderCreated(order) {
  await setOrderStatus(order.id, "pending_fraud_review");
  const verdict = await fraudProvider.screen({
    orderId: order.id,
    amount: order.total,
    email: order.email,
    shipping: order.shippingAddress,
    signals: order.deviceSignals,
  });
  if (verdict.decision === "approve") {
    await releaseToFulfillment(order.id);   // hand off to the OMS
  } else {
    await voidAndRefund(order.id, verdict.reason);
  }
}

The async pattern is what most serious headless builds settle on, because it keeps the checkout responsive and cleanly hands approved orders to the order management layer while cancelling the rest before they ship. Getting that handoff right, so an approved order flows to fulfillment and a declined one is voided without a human touching it, is an orchestration problem that lives at the seam between the fraud provider and the OMS, which is exactly the integration surface we detail in the headless OMS comparison. All three vendors expose the API you need for either placement; the design decision is yours, and it is the part a hosted setup makes for you invisibly.

Pricing Structure Changes the Answer at Scale

The three pricing bases produce very different bills at different points on the AOV and volume curve. A percent of covered order value, a percent of approved order value, and a flatter per transaction fee do not rank consistently; the cheapest option flips depending on your numbers. At high average order value, a percentage of order value can dwarf a flat per transaction fee, which pushes high AOV, lower volume merchants toward the flatter structure. At high volume with modest AOV, a percentage fee can be competitive if the approval rate lift pays for itself in recovered revenue. The only honest way to choose is to run your own last twelve months of orders through each pricing model and compare total cost net of the false declines each vendor would have caused. This is the same discipline that decides a payment processor, where the headline rate matters less than the effective cost on your specific mix, a point we make in the Stripe versus Adyen enterprise payments comparison.

When This Applies to Your Stack

Choose Signifyd when you are a large enterprise that wants broad coverage, deep review capacity for complex orders, and a well established platform with mature connectors. Choose Riskified when you run high volume and approval rate is the metric you obsess over, because its optimization for auto approval recovers good customers that a more conservative model would decline, and at your scale a point of approval rate is real money. Choose NoFraud when you are mid market, want transparent and predictable pricing, and value human review on borderline orders as a way to claw back false declines without building a fraud team. In all three cases, the guarantee shifts the chargeback liability off your books; the differences are pricing, approval aggressiveness, and how the decision fits your checkout.

If your team is standing up fraud protection on a headless Shopify Plus build and needs the approval rate and total cost measured on your own order history rather than a vendor's marketing deck, Contra Collective designs the fraud decision placement and integrates it cleanly with your checkout and OMS. The vendor tells you their chargeback rate; your orders tell you the approval rate and the real cost, and those are the numbers that decide it.

FAQ

What is the difference between Signifyd, Riskified, and NoFraud? All three are guarantee based fraud platforms that take on chargeback liability for orders they approve. Signifyd targets large enterprises with broad coverage, Riskified optimizes hardest for auto approval rate at high volume, and NoFraud focuses on transparent pricing and human review of borderline orders for the mid market.

Why does approval rate matter more than chargeback rate? Any fraud system can drive chargebacks near zero by declining aggressively, but that produces false declines, legitimate customers turned away, which are silent lost revenue. Approval rate at a given chargeback guarantee measures how much good business the platform lets through, and that is the number that actually affects revenue.

Should the fraud check be synchronous or asynchronous in a headless checkout? Most headless builds use an asynchronous pattern: accept the order fast, place it in a pending state, and gate fulfillment on the fraud verdict that resolves moments later. This keeps the checkout responsive by keeping the network round trip off the critical path, at the cost of cleanly voiding orders that get declined.

How do the pricing models compare? Signifyd charges a percent of covered order value, Riskified a percent of approved order value, and NoFraud a flatter per transaction fee. The cheapest option depends on your average order value and volume, so the only reliable comparison is running your own order history through each model net of false declines.

Do these platforms actually pay for fraudulent chargebacks? Yes, that is the core of the guarantee model. When any of the three approves an order that turns out fraudulent, it reimburses the chargeback rather than leaving the loss with you. Read each contract for the coverage exclusions, because what counts as a covered chargeback is where the guarantees differ in the fine print.