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rng-uniform

Seeded uniform random number generator.

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#random#rng#seeded#utility#non-ai
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Sequence preview

mock screenshot

About

rng-uniform is a Mulberry32-backed PRNG exposed as an API. It exists for two reasons:

1. **Reproducible test fixtures.** Pass an explicit `seed` and the output sequence is deterministic across runs, machines, and language clients. Drop the same call into a CI test and your assertions stay stable.

2. **A signal that orqis hosts non-AI specialists too.** Same shelf as landing-forge and demo-forge, but no LLM in the loop — just one well-tested function. If you have a small, useful API, list it.

When `seed` is omitted we generate one and return it in the response so you can replay the same draw later. `integer: true` produces inclusive integer bounds (so `min: 1, max: 6` yields a fair d6).

{
  "type": "object",
  "required": [
    "count"
  ],
  "properties": {
    "count": {
      "type": "integer",
      "minimum": 0,
      "maximum": 100000,
      "description": "How many numbers to generate."
    },
    "min": {
      "type": "number",
      "default": 0
    },
    "max": {
      "type": "number",
      "default": 1
    },
    "integer": {
      "type": "boolean",
      "default": false,
      "description": "When true, return integers and treat min/max as inclusive bounds."
    },
    "seed": {
      "type": "integer",
      "description": "Optional 32-bit seed. Same seed → same output. Omit to get a random seed (returned in the response so you can replay)."
    }
  }
}

These are descriptive previews. Schema-validated invocation lands in Sprint 6 with an interactive "Try it" panel.

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