[
  {
    "id": "jackpot_slot",
    "label": "Controlled jackpot slot",
    "rulesVersion": "class-c-jackpot-slot-1.0",
    "replicationClass": "C — synthetic experimental game",
    "ruleType": "discreteMultipliers",
    "theoreticalRtp": 0.96,
    "maximumMultiplier": 20000,
    "sourceReference": "GreyScienx controlled tail-shape model",
    "assumptions": "Independent spins; gross multiplier table does not change with stake.",
    "outcomes": [
      {
        "multiplier": 0,
        "probability": 0.989725
      },
      {
        "multiplier": 1,
        "probability": 0.01
      },
      {
        "multiplier": 2000,
        "probability": 0.0002
      },
      {
        "multiplier": 5000,
        "probability": 0.00005
      },
      {
        "multiplier": 10000,
        "probability": 0.00002
      },
      {
        "multiplier": 20000,
        "probability": 0.000005
      }
    ]
  },
  {
    "id": "crash_target",
    "label": "Controlled crash target",
    "rulesVersion": "class-c-crash-target-1.0",
    "replicationClass": "C — synthetic experimental game",
    "ruleType": "targetMultiplier",
    "theoreticalRtp": 0.97,
    "maximumMultiplier": 20000,
    "sourceReference": "GreyScienx constant-edge first-passage model",
    "assumptions": "The target multiplier is declared before the draw; P(reach target) = 0.97 / target multiplier.",
    "outcomes": null
  },
  {
    "id": "lottery_tail",
    "label": "Controlled lottery tail",
    "rulesVersion": "class-c-lottery-tail-1.0",
    "replicationClass": "C — synthetic experimental game",
    "ruleType": "discreteMultipliers",
    "theoreticalRtp": 0.8,
    "maximumMultiplier": 100000,
    "sourceReference": "GreyScienx controlled attempt-count model",
    "assumptions": "Each wager is one independent ticket; the sole prize is 100,000× gross at probability 8 per million.",
    "outcomes": [
      {
        "multiplier": 0,
        "probability": 0.999992
      },
      {
        "multiplier": 100000,
        "probability": 0.000008
      }
    ]
  },
  {
    "id": "virtual_accumulator",
    "label": "Controlled virtual accumulator",
    "rulesVersion": "class-c-accumulator-target-1.0",
    "replicationClass": "C — synthetic experimental game",
    "ruleType": "targetMultiplier",
    "theoreticalRtp": 0.9,
    "maximumMultiplier": 20000,
    "sourceReference": "GreyScienx constant-margin first-passage model",
    "assumptions": "Independent synthetic events; the offered target has P(success) = 0.90 / target multiplier. No real matches are used.",
    "outcomes": null
  }
]