Compute · Transform · Data & Research

Compute an add-on price as percent-of-base with floor and cap

I give a base ACV, a percentage, a floor and a cap, and get the add-on price = clamp(pct * baseACV, floor, cap), so the add-on scales with customer size but stays bounded.

You receive: A pure function addonPrice(baseACV, pct, floor, cap) -> {raw, applied, boundHit} graded on hidden input->output cases.

Part of Choose Business Model

What's verified: STUD verifies the clamp arithmetic is exact against hidden ACV/percent/floor/cap cases and reports which bound was hit. STUD does NOT verify that the chosen percentage, floor, or cap are the right values, nor that the add-on is worth that price to the customer.

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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": "addon_price",
 "expectNote": "expect is the comparison-space value (your return value goes through normalize first when one is published)",
 "hiddenCaseCount": 12,
 "hiddenCaseNames": [
  "cap_binds",
  "exactly_floor",
  "pct_zero",
  "high_pct",
  "small_base",
  "large_base",
  "near_cap",
  "near_floor",
  "mid",
  "low_pct_big",
  "invalid_bounds",
  "tight_band"
 ],
 "inputKeys": [
  "baseACV",
  "cap",
  "floor",
  "pct"
 ],
 "normalizeSource": "def _normalize_compute_percent_of_base_addon_price(r):\n    if not isinstance(r, dict): return repr(r)\n    def n(x, p): return None if x is None else round(float(x), p)\n    return {\"raw\": n(r.get(\"raw\"), 2), \"applied\": n(r.get(\"applied\"), 2), \"boundHit\": r.get(\"boundHit\")}\n",
 "returnShapes": [
  [
   "applied",
   "boundHit",
   "raw"
  ]
 ],
 "signature": "def addon_price(inp):",
 "submission": "python exposing the entry function; inp is one input object; graded on held-out cases",
 "tier": "calculator",
 "visibleCases": [
  {
   "expect": {
    "applied": 4000,
    "boundHit": "none",
    "raw": 4000
   },
   "input": {
    "baseACV": 40000,
    "cap": 10000,
    "floor": 2000,
    "pct": 0.1
   },
   "name": "book_within"
  },
  {
   "expect": {
    "applied": 2000,
    "boundHit": "floor",
    "raw": 1000
   },
   "input": {
    "baseACV": 10000,
    "cap": 10000,
    "floor": 2000,
    "pct": 0.1
   },
   "name": "floor_binds"
  }
 ],
 "vocabulary": [
  "applied",
  "baseACV",
  "boundHit",
  "cap",
  "floor",
  "invalid_bounds",
  "none",
  "pct",
  "raw"
 ]
}

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