Common signs: rising chargebacks, card testing, fake accounts or promo abuse. Usual causes: no fraud controls. What we do: set up rules in your app or provider tools such as Stripe Radar, with step-up checks and review. What you get: obvious fraud stopped quickly.
Our fraud rule setup stops the most common fraud patterns quickly: card testing, rapid repeated payments, fake sign-ups and promotion abuse. A Codersarts engineer sets up rules in your payment provider and app, adds step-up checks instead of hard blocks where possible, and routes risky cases to review. Fixed price from $199 with 1-day delivery.
Fraud Rule Setup at a Glance
Item | Details |
|---|---|
Starting price | $199 for one flow |
Delivery | 1 day |
Tools | Stripe Radar, Razorpay risk settings, custom app rules and rate limits |
Rules | Velocity, amount, device, IP, location and account age |
Includes | Step-up checks, review queue routing and monitoring |
What you get | Obvious fraud stopped |
Revisions | One revision round included |
What Are Fraud Rules?
Fraud rules are conditions that flag or block risky activity, such as many payment attempts from one card, sign-ups from known bad IP ranges, large first orders from new accounts, or mismatched billing and IP countries. Good rule sets challenge or review borderline cases instead of blocking them, and are tuned using real outcomes.
Signs You Need This
Card testing attacks on your checkout
Chargebacks rising
Fake accounts claiming promotions
Many failed payments from one user or IP
No visibility into risky activity
Common Fraud Patterns
Card testing
Small repeated charges to test stolen cards.
Promo abuse
Many accounts claiming one-per-user offers.
Account takeover
Logins from new devices followed by payouts.
High-risk first orders
Large orders from brand new accounts.
Quick Checks You Can Try First
Review recent chargebacks and disputes.
Look for bursts of failed payments.
Count accounts per device or IP.
Check what your provider's fraud tools already do.
If the problem remains, our engineers take it from there.
How We Set It Up
Analyze. Recent fraud and failed payments.
Provider rules. Stripe Radar or provider risk settings.
App rules. Velocity, device and account rules.
Step-up. OTP, 3-D Secure or KYC for risky actions.
Review. Route borderline cases to a queue.
Monitor. Track blocks, reviews and false positives.
What You Get
Fraud rules in your provider and app
Rate limits on sensitive actions
Step-up checks
Review routing
A short rules guide
Example result (illustrative)
An online store was hit by card testing, with thousands of small failed charges overnight. We added velocity limits per card and IP, enabled 3-D Secure for risky attempts and tightened Stripe Radar rules. The attack stopped within hours, without blocking normal customers.
What Is Included and Not Included
Included | Not included |
|---|---|
One flow (payments or sign-ups) | Machine learning models |
Provider and app rules | Fraud tool subscriptions |
Step-up and review routing | Review admin panel (separate task) |
One revision round | Ongoing tuning |
Pricing for Fraud Rules
Package | Best for | Starting at | Delivery |
|---|---|---|---|
Fraud rule setup | One flow, provider and app rules | $199 | 1 day |
Rules plus review queue | Rules, step-up and review tools | $599 | 3 days |
Fraud detection system | Rules plus ML scoring | Custom quote | Agreed with you |
You get a fixed quote after we review your setup. You approve the scope before any payment.
Who This Is For
E-commerce stores facing card testing
Marketplaces with promo abuse
Fintech and wallet apps
Subscription businesses with chargebacks
What We Need From You
Payment provider access
Repository access
Recent fraud examples
Business rules for promos and limits
Code and data privacy
We sign an NDA on request, work with the least access needed, and never keep copies of your data after delivery. You own all code, configuration and notes.
Key Terms Explained
Card testing: using small charges to check stolen cards
Velocity rule: a limit on actions within a time window
3-D Secure: extra card authentication by the issuer
False positive: a genuine customer flagged as fraud
Common Mistakes We Avoid
Blocking instead of challenging
Rules no one reviews
Ignoring false positives
No rate limits on payment endpoints
Need More Than One Task?
Need ML-based detection? See AI Fraud Detection. Or use Prepaid Developer Hours to cover several tasks from one prepaid balance.
Related Tasks
API Rate Limiting Setup for velocity limits
Login & Auth Hardening for account takeover
KYC API Integration for identity checks
Frequently Asked Questions
How do we stop card testing?
Velocity limits per card, IP and device, plus CAPTCHA or 3-D Secure on suspicious attempts.
Will rules block real customers?
We use challenges and review for borderline cases and monitor false positives.
Do you work with Stripe Radar?
Yes, including custom Radar rules.
When do we need machine learning?
When rules can't keep up and you have enough labeled fraud data.
Stop Obvious Fraud Today
Share your fraud problem and payment setup, and a Codersarts engineer will set up rules within a day.