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Eden Engine

Groundhog Day Predictions for a Year, All Animals (Groundhog-Day.com)

groundhogday/predictions-by-year

Every Groundhog Day prediction on record for one year, 1886 to the latest published season: for each animal that made one, `shadow` (1 saw its shadow, six more weeks of winter in the legend; 0 no shadow, early spring; null no recorded prediction), the day's notes and the animal's slug, name, city, region and country. Early years hold one animal; recent years hold 80 or more. A year outside the range, such as a future one, is refused as VALIDATION. Data from Groundhog-Day.com, trimmed to those fields and served by Eden Engine; not an official Groundhog-Day.com product.

activeper callv1

Price

$0.0026 per call

You pay the price shown. If a call turns out to cost more than its quote, you pay the actual price, capped at twice the quote. No monthly minimum. Top-ups start at $0.50.

Data source

Groundhog-Day.com

Data from Groundhog-Day.com (groundhog-day.com), the Groundhog Day API listing North America's prognosticating animals and their yearly predictions. Served by Eden Engine; not an official Groundhog-Day.com product.

Use it

Five steps: search, inspect, learn, run, settle. No per-tool setup; your agent reaches this tool through the meta-tools it already has.

Connect once and your AI can find and run this tool, and any other it needs.

agent
// 1. search: find the tool
omnial_search({ query: "what you need" })

// 2. inspect: price and input schema
omnial_inspect({ tool: "groundhogday/predictions-by-year" })

// 3. learn: read the usage guide at runtime
omnial_learn({ tool: "groundhogday/predictions-by-year" })

// 4. run: price the exact call first, then run it
omnial_execute({ tool: "groundhogday/predictions-by-year", input: { /* see input_schema */ }, dry_run: true })
omnial_execute({ tool: "groundhogday/predictions-by-year", input: { /* ... */ } })

// 5. settle: the call is charged when it finishes, nothing to do

Not connected yet? Point your MCP client at https://mcp.eden-engine.com/mcp, then copy a config for your client.

Pricing

Every charge this tool can incur.

ChargePrice
Per call
$0.0026
Updated
Oct 25, 2026

Input and output schemas

Input schema
input_schema.json
{
  "type": "object",
  "required": [
    "year"
  ],
  "properties": {
    "year": {
      "type": "integer",
      "maximum": 2100,
      "minimum": 1886,
      "description": "The Groundhog Day year, 1886 or later. The service refuses a year after the latest published season (2026 on 2026-10-24) with a validation error."
    }
  },
  "additionalProperties": false
}
Output schema
output_schema.json
{
  "type": "object",
  "required": [
    "count",
    "predictions"
  ],
  "properties": {
    "count": {
      "type": "number",
      "description": "Number of predictions returned for the year."
    },
    "predictions": {
      "type": "array",
      "items": {
        "type": "object",
        "required": [
          "year",
          "shadow",
          "details",
          "groundhog"
        ],
        "properties": {
          "year": {
            "type": "number",
            "description": "The Groundhog Day year."
          },
          "shadow": {
            "type": [
              "number",
              "null"
            ],
            "description": "1 the animal saw its shadow (six more weeks of winter), 0 no shadow (early spring), null no recorded prediction."
          },
          "details": {
            "type": "string",
            "description": "The day's notes; an empty string when none were published."
          },
          "groundhog": {
            "type": "object",
            "required": [
              "slug",
              "name",
              "city",
              "region",
              "country"
            ],
            "properties": {
              "city": {
                "type": "string"
              },
              "name": {
                "type": "string"
              },
              "slug": {
                "type": "string",
                "description": "URL slug; the key for the lookup tool."
              },
              "region": {
                "type": "string"
              },
              "country": {
                "type": "string"
              }
            },
            "description": "The animal that made the prediction: slug, name, city, region and country.",
            "additionalProperties": true
          }
        },
        "additionalProperties": true
      }
    }
  },
  "description": "The year's predictions as `count` and `predictions`, each with year, shadow, details and a short `groundhog` object.",
  "additionalProperties": true
}