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nova-snowy-tau.vercel.app

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A stateful, executable scientific environment for external AI agents.

First seen 2026-11-05 · Last seen 2026-11-05 · Source: webmcp.com

Answer 1 · Act 5 · Transact 0 · Score: Not yet scored

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create_experiment

act imperative

Create a NOVA LAB plant-growth experiment, persist it, and submit it for human approval. Status becomes AWAITING_APPROVAL with approval_required=true. NOVA supports synthetic plant-growth factorial experiments only—not universal science. Supported factors: temperature, water, light, CO2, nutrients (also accepted as TEMPERATURE, WATER, LIGHT, CO2, NUTRIENTS). Provide factor_levels and units for each factor, plus replicates. Does not approve or run the experiment; the server state machine blocks execution until a human approves. Emits experiment_created and approval_requested events. Returns experiment_id, status, estimated_observations, and approval_required. Use when starting a new investigation.

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Input schema

Property	Type	Required	Description
`question`	string	yes	Scientific question the experiment asks.
`hypothesis`	string	yes	Testable hypothesis for this design.
`factors`	array	yes	Plant-growth factors only: temperature, water, light, CO2, nutrients.
`factor_levels`	object	yes	Map of factor → numeric levels (keys may be lowercase or TEMPERATURE-style). Every listed factor needs a non-empty array.
`units`	object	yes	Map of factor → unit string (e.g. celsius, relative). Required for every factor.
`replicates`	integer	yes	Number of replicates per factor combination.
`seed`	integer	yes	Integer RNG seed for the deterministic synthetic simulation.
`simulation_version`	string	yes	Simulation engine version string (e.g. nova-sim-v1).
`provenance`	object	yes	—

Raw JSON schema

{
  "type": "object",
  "additionalProperties": false,
  "required": [
    "question",
    "hypothesis",
    "factors",
    "factor_levels",
    "units",
    "replicates",
    "seed",
    "simulation_version",
    "provenance"
  ],
  "properties": {
    "question": {
      "type": "string",
      "minLength": 1,
      "description": "Scientific question the experiment asks."
    },
    "hypothesis": {
      "type": "string",
      "minLength": 1,
      "description": "Testable hypothesis for this design."
    },
    "factors": {
      "type": "array",
      "minItems": 1,
      "uniqueItems": true,
      "items": {
        "type": "string",
        "enum": [
          "temperature",
          "water",
          "light",
          "CO2",
          "nutrients",
          "TEMPERATURE",
          "WATER",
          "LIGHT",
          "NUTRIENTS"
        ]
      },
      "description": "Plant-growth factors only: temperature, water, light, CO2, nutrients."
    },
    "factor_levels": {
      "type": "object",
      "description": "Map of factor → numeric levels (keys may be lowercase or TEMPERATURE-style). Every listed factor needs a non-empty array.",
      "additionalProperties": {
        "type": "array",
        "minItems": 1,
        "items": {
          "type": "number"
        }
      }
    },
    "units": {
      "type": "object",
      "description": "Map of factor → unit string (e.g. celsius, relative). Required for every factor.",
      "additionalProperties": {
        "type": "string",
        "minLength": 1
      }
    },
    "replicates": {
      "type": "integer",
      "minimum": 1,
      "description": "Number of replicates per factor combination."
    },
    "seed": {
      "type": "integer",
      "description": "Integer RNG seed for the deterministic synthetic simulation."
    },
    "simulation_version": {
      "type": "string",
      "minLength": 1,
      "description": "Simulation engine version string (e.g. nova-sim-v1)."
    },
    "provenance": {
      "type": "object",
      "additionalProperties": false,
      "required": [
        "source",
        "actor"
      ],
      "properties": {
        "source": {
          "type": "string",
          "minLength": 1
        },
        "actor": {
          "type": "string",
          "minLength": 1
        },
        "notes": {
          "type": "string"
        },
        "parent_experiment_id": {
          "type": "string",
          "description": "Optional parent experiment id for lineage (normally omit; prefer replicate_experiment)."
        }
      }
    }
  }
}

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