Understand API quality with one clear score.

The CASC (Cloud API Service Consistency) score is a composite API quality metric combining latency percentiles, availability, geographic consistency, and conformance pass rate into a single number on a 0–10 scale. A score above 9 represents healthy performance; below 6 indicates a quality problem requiring immediate attention. It is designed to make API quality understandable and comparable without requiring stakeholders to interpret raw latency histograms.

The CASC score incorporates p50–p99 latency measurements, availability (proportion of successful checks), location variance (whether performance is consistent across PoPs or degraded in specific regions), and conformance pass rate. It captures both whether an API is up and whether it is behaving correctly everywhere.

Yes. Because the CASC score normalizes multiple quality dimensions into a single comparable number, it applies to any monitored API — internal, third-party, or partner-operated. Teams use CASC scores to evaluate competing API providers, hold third-party dependencies to quality thresholds, or include API quality benchmarks in vendor procurement and SLA negotiations.

The CASC score translates complex API telemetry into a single number comparable to a credit rating or speed test result. Product managers and executives can track whether API quality is improving or degrading over time without interpreting latency percentile distributions, and can compare quality consistently across multiple endpoints or providers.