Net revenue retention with leaky-bucket flag

The exact vocabulary the automated check enforces: keys, tokens, entry points, and worked examples. Generated from the verification source.

{
 "constants": {
  "_NRR_BENCH": {
   "b2b-saas-best-in-class-120": 120,
   "b2b-saas-good-110": 110,
   "plg-median-100": 100
  }
 },
 "entryName": "compute_net_revenue_retention",
 "expectNote": "expect is the comparison-space value (your return value goes through normalize first when one is published)",
 "hiddenCaseCount": 8,
 "hiddenCaseNames": [
  "boundary_exactly_100",
  "above_100_below_benchmark",
  "custom_benchmark",
  "fractional_rounding",
  "all_churn",
  "expansion_only",
  "invalid_zero_base",
  "invalid_negative_base"
 ],
 "inputKeys": [
  "benchmark_band",
  "churned_mrr",
  "contraction_mrr",
  "custom_benchmark_pct",
  "expansion_mrr",
  "starting_mrr"
 ],
 "normalizeSource": "def _nrr_normalize(r):\n    \"\"\"Coerce the operator's result (top-level nrr_pct/leaky_bucket/benchmark_verdict)\n    to the canonical comparable; the invalid sentinel passes through; else repr (fails).\"\"\"\n    if isinstance(r, str):\n        return r\n    try:\n        return {\n            \"nrr_pct\": round(float(r[\"nrr_pct\"]), 1),\n            \"leaky_bucket\": bool(r[\"leaky_bucket\"]),\n            \"benchmark_verdict\": str(r[\"benchmark_verdict\"]),\n        }\n    except Exception:\n        return repr(r)\n",
 "returnShapes": [
  [
   "benchmark_verdict",
   "leaky_bucket",
   "nrr_pct"
  ],
  "invalid_starting_base"
 ],
 "signature": "def compute_net_revenue_retention(inp):",
 "submission": "python exposing the entry function; inp is one input object; graded on held-out cases",
 "tier": "calculator",
 "visibleCases": [
  {
   "expect": {
    "benchmark_verdict": "at-or-above-benchmark",
    "leaky_bucket": false,
    "nrr_pct": 112
   },
   "input": {
    "benchmark_band": "b2b-saas-good-110",
    "churned_mrr": 300,
    "contraction_mrr": 500,
    "expansion_mrr": 2000,
    "starting_mrr": 10000
   },
   "name": "healthy_expansion"
  },
  {
   "expect": {
    "benchmark_verdict": "below-benchmark",
    "leaky_bucket": true,
    "nrr_pct": 85
   },
   "input": {
    "benchmark_band": "b2b-saas-good-110",
    "churned_mrr": 1200,
    "contraction_mrr": 800,
    "expansion_mrr": 500,
    "starting_mrr": 10000
   },
   "name": "leaky_below_100"
  }
 ],
 "vocabulary": [
  "at-or-above-benchmark",
  "b2b-saas-good-110",
  "below-benchmark",
  "benchmark_band",
  "benchmark_verdict",
  "churned_mrr",
  "contraction_mrr",
  "custom",
  "custom_benchmark_pct",
  "expansion_mrr",
  "invalid_starting_base",
  "leaky_bucket",
  "nrr_pct",
  "starting_mrr"
 ]
}