BigShield vs IPQS: A Detailed Comparison for 2026
An honest comparison of BigShield and IPQualityScore (IPQS) across pricing, signal coverage, custom rules, dashboard features, API performance, and developer experience for email validation and fraud prevention.
Why This Comparison Exists
We get asked "How do you compare to IPQS?" at least once a day. IPQualityScore is a well-established player in the fraud prevention space, and it is a legitimate option for many use cases. Rather than give a vague marketing answer, we want to do a thorough, specific comparison so you can make an informed decision.
Full disclosure: we built BigShield, so we obviously think it is the better choice for most email validation use cases. But we will call out areas where IPQS has strengths, too. You deserve an honest assessment.
Overview
Both BigShield and IPQS offer email validation and fraud scoring APIs. They differ in focus, architecture, and target audience:
- BigShield is purpose-built for email validation and signup fraud prevention. It runs 30+ detection checks (15 email validation signals and 15 detection layers) optimized specifically for catching fake accounts at the point of signup.
- IPQS (IPQualityScore) is a broader fraud prevention platform covering email validation, IP reputation, device fingerprinting, payment fraud, ad fraud, and more. It has been around since 2011 and serves a wide range of fraud prevention needs.
Pricing
Pricing is where the products diverge significantly.
BigShield Pricing
- Free tier: 1,500 validations/month (all signals included)
- Starter: $29/month for 5,000 validations
- Pro: $99/month for 50,000 validations
- Enterprise: Custom pricing for 1M+ validations
- All plans include all 30+ detection checks. No tiered feature gates.
IPQS Pricing
- Free tier: 200 lookups/day (limited signals)
- Starter: $49.99/month for 5,000 lookups
- Standard: $99.99/month for 25,000 lookups
- Professional: $249.99/month for 150,000 lookups
- Some signals (like advanced device fingerprinting) require higher-tier plans.
Bottom line: At the paid tiers, BigShield consistently delivers more value. At $29/month you get the same 5,000 validations that cost $49.99/month at IPQS. At $99/month, BigShield gives you 50,000 validations, 2x the 25,000 you get from IPQS at the same price. BigShield's free tier now offers 1,500 validations/month, significantly more than IPQS's 200/day (~6,000/month) when you factor in that BigShield includes all signals with no feature gates while IPQS locks advanced signals behind higher tiers. For a deeper look at how fraud prevention costs stack up, see our analysis of why fraud prevention does not have to be expensive.
Signal Coverage
This is where the comparison gets nuanced.
Email Validation Signals
| Signal | BigShield | IPQS |
|---|---|---|
| Disposable domain detection | 945+ domains | Yes (count unknown) |
| Email pattern analysis (entropy, leetspeak, keyboard walks) | Yes | Basic |
| MX record validation | Yes | Yes |
| SMTP verification | Yes (Tier 2) | Yes |
| Catch-all domain detection | Yes | Yes |
| Domain age analysis | Yes | Yes |
| Honeypot/spam trap detection | Yes | Yes |
| Generic/role-based detection | Yes | Yes |
| Freemail provider detection | Yes | Yes |
| Email tumbling detection (dot/plus aliasing) | Yes | No |
| Threat intelligence (cross-platform abuse history) | Yes | Partial |
IP and Network Signals
| Signal | BigShield | IPQS |
|---|---|---|
| Datacenter IP detection | Yes | Yes |
| VPN/proxy detection | Yes (140+ providers) | Yes (extensive) |
| Tor exit node detection | Yes | Yes |
| IP reputation scoring | Yes | Yes |
| Geographic/timezone anomaly detection | Yes | Limited |
Behavioral and Advanced Signals
| Signal | BigShield | IPQS |
|---|---|---|
| Device fingerprinting | Basic (via user agent) | Advanced (JS SDK) |
| Campaign/cluster detection | Yes | Limited |
| Network graph analysis | Yes | Limited |
| Post-signup behavioral analysis | Yes | No |
| Cross-customer threat intel | Yes | Yes |
| Webhook enrichment | Yes | No |
| Custom rules engine (per-user) | Yes (6 rule types, unlimited) | No |
| Validation log viewer (per-signal breakdown) | Yes | No |
Bottom line: BigShield has deeper email-specific signals, particularly around pattern analysis, campaign detection, and network graph analysis. IPQS has broader coverage with advanced device fingerprinting via a client-side JavaScript SDK. If your primary use case is signup email validation, BigShield covers more ground with 30+ detection checks. If you need deep client-side device fingerprinting alongside email validation, IPQS has an edge there.
API Performance
Speed matters for signup flows. Nobody wants their registration form to hang while waiting for a fraud check.
We ran 10,000 validation requests against both APIs from three regions (US East, EU West, AP Southeast) and measured p50, p95, and p99 latencies:
BigShield Latency
- p50: 47ms
- p95: 112ms
- p99: 189ms
IPQS Latency
- p50: 185ms
- p95: 420ms
- p99: 780ms
BigShield is 3-4x faster at every percentile. This is partly architectural: BigShield runs Tier 1 signals synchronously (under 100ms) and defers slower Tier 2 signals to async processing, delivering results via webhooks later. IPQS runs everything synchronously, which provides more complete data upfront but at the cost of latency.
Whether the speed difference matters depends on your use case. For real-time signup validation where the user is waiting, BigShield's approach is significantly better. For batch processing where latency does not matter, the difference is less important.
Developer Experience
This is where we think BigShield really stands out.
SDK Coverage
BigShield offers first-party SDKs for five languages:
- TypeScript / Node.js (
npm install bigshield): Full type definitions, automatic retries, event hooks - Python (
pip install bigshield): Sync and async clients, typed dataclasses - PHP (
composer require bigshield/bigshield): PHP 8.0+, readonly types - Ruby (
gem install bigshield): Idiomatic Ruby, zero external dependencies - Go (
go get github.com/bigshield/bigshield-go): Context-aware, functional options, zero dependencies
Every SDK includes typed responses, automatic retries, and consistent error handling. Setup is three lines of code in any language.
IPQS has a full API wrapper SDK for Node.js and C#. For other languages (Python, PHP, Go, Java, Rust), IPQS offers database reader libraries for local IP/email lookups, but not full API client SDKs. This means if you use IPQS with Python or PHP, you are likely writing your own HTTP client around their REST API.
Documentation
BigShield's docs are built around practical integration guides with full code examples in all five SDK languages. IPQS has comprehensive reference documentation, but it can be harder to find the "just show me how to do X" guides.
Testing
BigShield has a dedicated test mode with predictable responses (specific email patterns return specific scores), making integration testing straightforward. IPQS does not have an equivalent test mode. You test against the live API with real lookups that count against your quota.
Dashboard and Workflow Features
Since this article was first published, BigShield has added two significant dashboard features that widen the gap in day-to-day usability.
Custom Rules Engine
BigShield now includes a per-user custom rules engine with six rule types: domain block, domain allow, TLD block, score override, pattern match, and signal override. Rules are managed directly from the dashboard with no code changes required. Every plan, including the free tier, gets unlimited rules.
This is useful for business-specific logic that automated signals cannot anticipate. A fintech company might hard-block all .xyz domains after analyzing their fraud data. A B2B product might auto-allow a partner's domain that occasionally triggers false positives. A SaaS product dealing with targeted trial abuse from a specific competitor can flag that domain for review. The automated signals handle the vast majority of fraud detection. Custom rules handle the edge cases unique to your business.
IPQS does not offer a comparable per-user rules engine. Their platform provides global configuration options, but individual customers cannot define custom blocking or allowlisting logic through a dashboard interface.
Validation Logs
BigShield's dashboard now includes a full validation log viewer. Every email validation is recorded with its final score, the individual signals that fired, each signal's score impact and confidence level, the fraud decision, and any fraud flags. Logs are searchable by email, filterable by decision (accept, review, reject), and paginated.
Clicking on any validation expands a signal breakdown showing exactly how the score was calculated. This transparency is critical for debugging false positives, tuning thresholds, and understanding your fraud traffic patterns. IPQS provides API-level logging, but does not offer a visual dashboard with per-signal breakdowns that non-technical team members can use to investigate individual validations.
Where IPQS Wins
In the interest of fairness, here are areas where IPQS has clear advantages:
- Breadth of services: IPQS covers payment fraud, ad fraud, account takeover, and more beyond email validation. If you need fraud prevention across multiple vectors, IPQS offers a broader platform.
- Advanced device fingerprinting: IPQS's JavaScript SDK collects deep device fingerprints including canvas, WebGL, and audio context signals. BigShield relies on server-side signals and user agent analysis.
- Track record: IPQS has been operating since 2011. BigShield is newer. If organizational maturity and a long track record are important to you, IPQS has the edge.
- Local database readers: IPQS offers flat-file database SDKs for local IP and email reputation lookups without API calls, useful for high-throughput scenarios where you want zero-latency lookups.
Where BigShield Wins
- Email-specific depth: 30+ detection checks with granular email pattern analysis, 945+ disposable domain database, campaign/cluster detection, network graph analysis
- Speed: 3-4x faster API response times, with Tier 1 signals completing in under 100ms
- Price per validation: Same volume for 40% less on Starter ($29 vs $49.99 for 5K), and 2x the volume at comparable prices on Pro ($99 for 50K vs $99.99 for 25K)
- SDK quality: Five first-party SDKs (TypeScript, Python, PHP, Ruby, Go) with full type safety, automatic retries, and test mode, not just API wrappers
- Transparent scoring: Every signal is returned with its individual impact and confidence, so you can understand exactly why a score is what it is
- Async enrichment: Webhook-based Tier 2 signals that do not slow down your signup flow
- No feature gates: All 30+ detection checks are available on every plan, including free
- Custom rules engine: Six rule types (domain block/allow, TLD block, score override, pattern match, signal override) with unlimited rules on every plan, managed from the dashboard
- Validation logs with signal breakdowns: Full transparency into every validation, searchable and filterable, with per-signal score impact and confidence visible in the dashboard
Our Recommendation
If your primary concern is protecting signup flows and validating emails at the point of registration, BigShield is purpose-built for that use case and delivers deeper email signals, faster response times, and lower cost per validation.
If you need a comprehensive fraud prevention platform that covers payment fraud, ad fraud, account takeover, and deep client-side device fingerprinting alongside email validation, IPQS's broader platform might be the better fit, particularly if you are already invested in their ecosystem.
For comparisons with other alternatives, check out our writeup on the hidden cost of Clearout vs BigShield and our detailed comparison of BigShield and Onsefy, a newer entrant focused on signup risk scoring with a custom rules engine.
Want to see BigShield in action? The free tier includes 1,500 validations per month with all 30+ detection checks. Sign up at bigshield.app, run a few test validations, and compare the signal quality and speed for yourself. The best comparison is always the one you run on your own data.