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Slovak Statistical Office DATAcube Dimension: Category Codes and Labels (Years, Indicators, Regions, Gender)

statisticsskdatacube/dimension-categories

The categories of one dimension of a DATAcube dataset of the Statistical Office of the Slovak Republic: each category code in order, with its label (years carry no label). Dataset codes and dimension ids come from the list-datasets tool; the category codes are what the table-value tool takes. For as1001rs_ukaz the codes run UKAZ01 (Population as of Dec. 31) to UKAZ25. Official statistics of the Slovak Republic, served by Eden Engine; not an official Statistical Office 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

Statistical Office of the Slovak Republic (DATAcube)

Source: Statistical Office of the Slovak Republic (ŠÚ SR), DATAcube (data.statistics.sk). Served by Eden Engine; not an official Statistical Office of the Slovak Republic 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: "statisticsskdatacube/dimension-categories" })

// 3. learn: read the usage guide at runtime
omnial_learn({ tool: "statisticsskdatacube/dimension-categories" })

// 4. run: price the exact call first, then run it
omnial_execute({ tool: "statisticsskdatacube/dimension-categories", input: { /* see input_schema */ }, dry_run: true })
omnial_execute({ tool: "statisticsskdatacube/dimension-categories", input: { /* ... */ } })

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

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Pricing

Every charge this tool can incur.

ChargePrice
Per call
$0.0026
Updated
Oct 21, 2026

Input and output schemas

Input schema
input_schema.json
{
  "type": "object",
  "required": [
    "dataset",
    "dimension",
    "lang"
  ],
  "properties": {
    "lang": {
      "enum": [
        "en",
        "sk"
      ],
      "type": "string",
      "description": "Language of labels: en or sk."
    },
    "dataset": {
      "type": "string",
      "pattern": "^[a-z0-9_]{3,40}$",
      "description": "Dataset code from list-datasets, for example as1001rs."
    },
    "dimension": {
      "type": "string",
      "pattern": "^[a-z0-9_]{3,60}$",
      "description": "Dimension id from list-datasets, for example as1001rs_ukaz."
    }
  },
  "additionalProperties": false
}
Output schema
output_schema.json
{
  "type": "object",
  "properties": {
    "note": {
      "type": "string",
      "description": "Name of the dimension, for example Indicator."
    },
    "class": {
      "type": "string",
      "description": "dimension."
    },
    "label": {
      "type": "string",
      "description": "The dimension id."
    },
    "version": {
      "type": "string"
    },
    "category": {
      "type": "object",
      "properties": {
        "index": {
          "type": "object",
          "description": "Category code to its position.",
          "additionalProperties": true
        },
        "label": {
          "type": "object",
          "description": "Category code to its label; absent for years.",
          "additionalProperties": true
        }
      },
      "additionalProperties": true
    }
  },
  "additionalProperties": true
}