FraudLabs Pro

@FraudLabs Pro screen this order: transaction ID TXN-8472, email buyer@example.com, IP 203.0.113.45, amount $249.99, shipping to 123 Main St, Austin TX

Fraud screening complete for TXN-8472. Risk score: 67/100 (MEDIUM RISK). Key signals: IP geolocation mismatch with billing address (IP shows Singapore, billing shows Texas), email domain age 14 days, velocity check shows 3 orders from this IP in 24 hours. Recommendation: REVIEW — request additional verification before fulfillment. Full report includes device fingerprint, proxy detection, and blacklist checks.

This example shows the core fraud-screening workflow. The MCP returns a risk score and actionable signals, but you must interpret the threshold (approve/reject/review) based on your business rules. Requires valid API key with screening credits available; each call consumes one credit from your plan balance.

@FraudLabs Pro we approved order TXN-8472 after manual review and the customer completed payment successfully. Submit this feedback to improve future scoring.

Feedback submitted for order TXN-8472: status APPROVE. FraudLabs Pro's machine learning model will incorporate this outcome to refine future risk assessments for similar transaction patterns (IP/email/device combinations). This feedback loop helps reduce false positives over time. Confirmation ID: FB-2847391.

Feedback submission trains the fraud detection model on your actual approve/reject decisions. This is a write action with no undo — only submit feedback after final order resolution (payment cleared, goods delivered, or chargeback confirmed). Submitting contradictory feedback degrades model accuracy, so ensure your team has a consistent approval process.

@FraudLabs Pro pull all orders screened in the last 7 days with risk scores above 80, then summarize the common fraud patterns you see across those high-risk transactions.

Retrieved 23 high-risk orders (score >80) from the past week. Common patterns identified: (1) 14 orders used disposable email domains (mailinator, guerrillamail); (2) 9 orders showed IP/billing country mismatches, with IPs originating from known proxy services; (3) 6 orders had shipping addresses flagged in FraudLabs Pro's high-risk location database; (4) 5 orders exhibited velocity abuse (same device fingerprint across multiple accounts). Recommendation: tighten email validation rules and enable SMS OTP verification for international orders exceeding $100.

This synthesis example pairs the MCP's order retrieval capability with the AI's pattern-recognition reasoning. The MCP provides raw fraud data; the AI identifies trends your team can act on. Note that historical order queries may have pagination limits depending on your plan tier, and the AI's analysis is illustrative — always validate findings against your actual fraud/chargeback data.

When FraudLabs Pro makes sense for small online stores

A 3-person Shopify store processing 200-400 orders a month sees chargebacks eating 2-3% of revenue. FraudLabs Pro's Screen Order tool runs risk checks at checkout—flagging suspicious IPs, mismatched billing addresses, or velocity patterns—before you ship. The feedback loop (FLP Feedback Order) trains the model on your actual fraud vs. legit calls, so accuracy improves over weeks. This works if fraud is your top operational pain and you can afford the per-transaction cost. If chargebacks are under 0.5% or you're processing thousands of orders daily, you're either too small to justify the overhead or too big for the MICRO plan's limits. For stores in that 200-2000 order/month sweet spot where manual review is drowning you, this MCP turns fraud triage into a 30-second Switchy check during morning order processing.

Using SMS verification to block trial farm accounts

A 6-person B2B SaaS team offers a 14-day free trial and keeps seeing the same user spin up 8-10 accounts with disposable emails. The Send SMS OTP Verification and Get SMS Verification Result tools add phone-gating to signup—forcing a real mobile number before trial activation. This stops low-effort abuse (burner emails) but won't catch determined fraudsters with VOIP pools. The trade-off: legitimate users in regions with spotty SMS delivery (parts of Southeast Asia, rural Africa) hit friction, and you're paying per OTP sent. If your trial abuse is costing you more than $200/month in support time or infrastructure waste, and your target market has reliable mobile coverage, the SMS verification pair is a net win. Below that threshold, you're better off rate-limiting signups by IP.

When the reseller tools matter for white-label platforms

A 10-person payment gateway startup wants to offer fraud screening as a bundled feature to their 40 merchant clients. The Create FraudLabs Pro Account and Subscribe Reseller Plan tools let you programmatically provision sub-accounts and assign plan tiers (MICRO, MINI, etc.) without manual vendor coordination. This makes sense if you're already reselling adjacent services (payment processing, KYC) and fraud screening rounds out the stack. The catch: you're now responsible for billing reconciliation and support escalation, and FraudLabs Pro's reseller margin is thin unless you're onboarding 15+ merchants a quarter. If you're a solo founder or a team under 5 people, the operational overhead of managing reseller accounts outweighs the revenue share. For established platforms with existing multi-tenant infrastructure, these tools turn fraud screening into a checkbox feature you can launch in a sprint.