📊 Reliability Metrics Analysis

{
  "service": "InferenceLatency.com",
  "endpoint": "/reliability-metrics",
  "timestamp": "2026-08-29T05:34:17.102231Z",
  "provider_reliability": {
    "OpenAI": {
      "current_performance": {
        "latency_ms": 659,
        "model": "GPT-4o",
        "status": "operational"
      },
      "percentile_analysis": {
        "p50": 459,
        "p95": 2261,
        "p99": 4957,
        "sample_size": 100
      },
      "reliability_metrics": {
        "availability_percent": 100.0,
        "error_rate_percent": 0.0,
        "sla_compliance_percent": 66.67,
        "requests_24h": 3,
        "mean_time_to_respond": 1614.0
      },
      "quality_grade": "D"
    }
  },
  "platform_summary": {
    "overall_availability_percent": 100.0,
    "overall_sla_compliance_percent": 66.67,
    "total_providers_analyzed": 1,
    "grade_distribution": {
      "A+": 0,
      "A": 0,
      "B": 0,
      "C": 0,
      "D": 1
    }
  },
  "sla_targets": {
    "availability_target": "99.5%",
    "latency_target": "95% of requests under 2000ms",
    "error_rate_target": "< 0.5%"
  },
  "methodology": {
    "data_window": "24 hours",
    "percentile_calculations": "Based on last 100 successful requests",
    "grading_criteria": "Industry-standard SLA benchmarks"
  }
}