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Integration adoption rate with a build-next ranking

Per-integration adoption rate over the overlapping base it can actually serve, health-flagged, plus a build-next ranking by addressable market.

You receive: A reviewed adoption-rate calculator + the passing test report, run on your integrations.

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Cost20 credits
AcceptanceAutomated check against your inputs
ProtectionHeld until verified delivery

This objective is verified and ready. It opens soon, once sign-in and payments are live.

Deliverable interface

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

{
 "constants": {},
 "entryName": "compute_integration_adoption",
 "expectNote": "expect is the comparison-space value (your return value goes through normalize first when one is published)",
 "hiddenCaseCount": 11,
 "hiddenCaseNames": [
  "uses_overlap_not_install",
  "at_benchmark_healthy",
  "at_risk_band",
  "below_band",
  "zero_denominator",
  "rate_over_100",
  "ranking_by_market",
  "tie_by_overlap",
  "tie_by_name",
  "combined",
  "empty_prospective"
 ],
 "inputKeys": [
  "addressable_market",
  "benchmark",
  "denominator",
  "existing",
  "flag_band",
  "name",
  "numerator",
  "overlap_base",
  "prospective",
  "tiebreak"
 ],
 "normalizeSource": "def _adopt_normalize(r):\n    try:\n        table = [{\"name\": str(x[\"name\"]),\n                  \"adoption_rate\": (None if x.get(\"adoption_rate\") is None else round(float(x[\"adoption_rate\"]), 2)),\n                  \"flag\": str(x[\"flag\"])} for x in r[\"table\"]]\n        ranking = [{\"rank\": int(x[\"rank\"]), \"name\": str(x[\"name\"]), \"addressable_market\": round(float(x[\"addressable_market\"]), 2)}\n                   for x in r[\"ranking\"]]\n        return {\"table\": table, \"ranking\": ranking}\n    except Exception:\n        return repr(r)\n",
 "returnShapes": [
  [
   "ranking",
   "table"
  ]
 ],
 "signature": "def compute_integration_adoption(inp):",
 "submission": "python exposing the entry function; inp is one input object; graded on held-out cases",
 "tier": "calculator",
 "visibleCases": [
  {
   "expect": {
    "ranking": [],
    "table": [
     {
      "adoption_rate": 30,
      "flag": "healthy",
      "name": "slack"
     }
    ]
   },
   "input": {
    "benchmark": 0.15,
    "existing": [
     {
      "denominator": 1000,
      "install_base": 50000,
      "name": "slack",
      "numerator": 300
     }
    ]
   },
   "name": "basic_overlap"
  }
 ],
 "vocabulary": [
  "addressable_market",
  "adoption_rate",
  "at_risk",
  "below",
  "benchmark",
  "denominator",
  "existing",
  "flag",
  "flag_band",
  "healthy",
  "name",
  "name_alpha",
  "numerator",
  "overlap_base",
  "prospective",
  "rank",
  "ranking",
  "table",
  "tiebreak",
  "undefined"
 ]
}

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