Benchmarks

Compare corridor success rates, settlement speeds, and latency across connectors with transparent methodology and monthly updates

2,847 corridors analyzed today
Sample Data
The benchmarks below represent typical performance patterns observed in production environments. Last updated: March 31, 2025

Key Findings from Latest Benchmarks

Partner networks outperform traditional rails by 2.3x in settlement speed while maintaining 99%+ success rates

Median settlement times range from 85s (EUR→GBP) to 3600s (USD→CNY) depending on corridor and connector type

Corridex orchestrated routing achieves 99.1% success rate with 142s median settlement across all corridors

Industry average success rate of 97.3% shows significant room for optimization through intelligent routing

What These Benchmarks Measure

Transparent performance metrics across six critical dimensions of cross-border payment orchestration

Measured

Success Rates

Track payment success across all corridors and connectors

95-100%
Measured

Settlement Speed

Measure median, P95, and P99 settlement times

90s-3600s
Measured

Uptime SLAs

Platform availability and reliability commitments

99.95%
Measured

Corridor Coverage

Global payment routes with transparent performance data

142+ routes
Measured

Data Transparency

Monthly updates with documented methodology

Updated monthly
Measured

Methodology

Real production transactions with statistical validation

1000+ tx/corridor

Methodology & Data Sources

How Benchmarks Are Collected

All benchmark data is collected from live production transactions processed through Corridex's orchestration platform. We measure end-to-end timing from the moment a payment is accepted through our API to confirmed settlement at the destination.

  • Success Rate: Percentage of payments reaching final settlement without manual intervention
  • Median Time: 50th percentile settlement time (typical case)
  • P95/P99: 95th and 99th percentile times (worst-case scenarios for SLA planning)

Data Quality & Validation

To ensure statistical validity and reliability, we apply rigorous validation criteria to all published benchmarks:

  • Minimum volume: 1,000+ transactions per corridor per month for statistical significance
  • Outlier filtering: Remove anomalies from system downtime or exceptional events
  • Consistent methodology: Same measurement approach across all connectors and time periods
  • Monthly updates: Rolling 30-day windows with documented data coverage periods

How to Interpret These Benchmarks

Understanding what these numbers mean for your payment operations:

  • Compare corridors: Identify fastest routes for your specific currency pairs
  • Evaluate connectors: Partner networks typically faster than traditional rails (SWIFT)
  • Plan SLAs: Use P95/P99 times to set realistic customer expectations
  • Anonymization: Connector names (Partner A, PSP 1) maintain neutrality while preserving type clarity

Need Custom Benchmark Analysis?

Request detailed performance reports for specific corridors, volume bands, or use cases not shown in public benchmarks

Frequently Asked Questions