Performance intelligence
Risk analytics
Understand payment quality, decision performance, and evaluation metrics across the risk stack.
Runtime operations
Live API dataTransactions Analysed
...
Approved Payments
...
Sent to Agent Review
...
Blocked Payments
...
High-Risk Count (ML Score > 0.7)
...
Current high and critical risk payments identified by the model.
Decision Distribution
Model quality
Verified benchmarkIEEE-CIS held-out evaluation
Benchmark on a static test set to verify ML baseline quality.
Total Rows
88,581
Threshold
0.80
Average Precision
0.4810
Precision
0.4535
Recall
0.4635
F1 Score
0.4585
True Positive
1,429
False Positive
1,722
True Negative
83,776
False Negative
1,654
Graph benchmark
Synthetic graph evaluationPrecision
0.9040
Recall
0.9912
F1 Score
0.9456
Decision visualization
Live 24H volumeDecision activity
Payment volume and the decisions requiring risk intervention.
Analysed
Total processed
0
Review
Requires attention
0
Blocked
Risk prevented
0
Risk Distribution
Share of transactions by risk level
Average Risk Score by Hour (24H)
Model output distribution over time