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Eden Engine

Argentina Official Statistical Time Series Values (datos.gob.ar)

seriestiempoar/series-values

Values of one to ten official Argentine statistical time series from the Series de Tiempo API of datos.gob.ar, addressed by series id (for example 148.3_INIVELNAL_DICI_M_26, the national consumer price index from INDEC). Returns rows of [date, value, ...] with one column per series, optionally from a start or end date, newest first, aggregated by month, quarter or year, or as a percent change. Metadata (publisher, units, licence) is included by default and full metadata adds each series' licence. Each series carries its own publisher's licence. A well-formed query with no matching dates returns an empty data list. Data passed through unmodified and served by Eden Engine; not an official datos.gob.ar 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

datos.gob.ar

Argentine official statistical time series from the Series de Tiempo API of datos.gob.ar; each series carries its publisher's licence (CC BY 4.0 in the sampled catalogs), so cite the series publisher and datos.gob.ar. Served by Eden Engine; not an official datos.gob.ar 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: "seriestiempoar/series-values" })

// 3. learn: read the usage guide at runtime
omnial_learn({ tool: "seriestiempoar/series-values" })

// 4. run: price the exact call first, then run it
omnial_execute({ tool: "seriestiempoar/series-values", input: { /* see input_schema */ }, dry_run: true })
omnial_execute({ tool: "seriestiempoar/series-values", 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 24, 2026

Input and output schemas

Input schema
input_schema.json
{
  "type": "object",
  "required": [
    "ids"
  ],
  "properties": {
    "ids": {
      "type": "string",
      "pattern": "^[A-Za-z0-9_.:]+(,[A-Za-z0-9_.:]+){0,9}$",
      "description": "One to ten series ids, comma separated with no spaces, for example 148.3_INIVELNAL_DICI_M_26 (national consumer price index, monthly) or 148.3_INIVELNAL_DICI_M_26,168.1_T_CAMBIOR_D_0_0_26. A transformation may follow an id after a colon, for example 148.3_INIVELNAL_DICI_M_26:percent_change. Find ids with series-search."
    },
    "sort": {
      "enum": [
        "asc",
        "desc"
      ],
      "type": "string",
      "default": "asc",
      "description": "asc is oldest first, desc is newest first. Use desc with a small limit for the latest values."
    },
    "limit": {
      "type": "integer",
      "default": 100,
      "maximum": 1000,
      "minimum": 1,
      "description": "Maximum number of rows, 1 to 1000. Defaults to 100."
    },
    "collapse": {
      "enum": [
        "day",
        "week",
        "month",
        "quarter",
        "year"
      ],
      "type": "string",
      "description": "Aggregate to a coarser period. It must not be finer than the series' own frequency, or the API answers an error."
    },
    "end_date": {
      "type": "string",
      "pattern": "^[0-9]{4}(-[0-9]{2}(-[0-9]{2})?)?$",
      "description": "Last date to return, YYYY, YYYY-MM or YYYY-MM-DD."
    },
    "metadata": {
      "enum": [
        "simple",
        "full",
        "none"
      ],
      "type": "string",
      "default": "simple",
      "description": "simple adds frequency, dataset title, source and units; full adds the catalog, dataset and distribution records including each series' licence; none returns the rows only."
    },
    "start_date": {
      "type": "string",
      "pattern": "^[0-9]{4}(-[0-9]{2}(-[0-9]{2})?)?$",
      "description": "First date to return, YYYY, YYYY-MM or YYYY-MM-DD."
    },
    "representation_mode": {
      "enum": [
        "value",
        "change",
        "percent_change",
        "percent_change_a_year_ago"
      ],
      "type": "string",
      "description": "How to express the values: the level (value, the default), the absolute change, or the percent change from the previous period or from a year earlier."
    },
    "collapse_aggregation": {
      "enum": [
        "avg",
        "sum",
        "end_of_period",
        "min",
        "max"
      ],
      "type": "string",
      "description": "How to aggregate when collapse is set. Defaults to the series' own default."
    }
  },
  "additionalProperties": false
}
Output schema
output_schema.json
{
  "type": "object",
  "required": [
    "data",
    "count"
  ],
  "properties": {
    "data": {
      "type": "array",
      "items": {
        "type": "array",
        "items": {
          "type": [
            "string",
            "number",
            "null"
          ]
        }
      },
      "description": "One row per date: the ISO date first, then one value per requested series in the order of `ids`."
    },
    "meta": {
      "type": "array",
      "items": {
        "type": "object",
        "additionalProperties": true
      },
      "description": "Absent when metadata is none. First entry describes the query (frequency, start and end date), then one entry per series."
    },
    "count": {
      "type": "integer",
      "description": "Number of rows matching before `limit` was applied."
    },
    "params": {
      "type": "object",
      "additionalProperties": true
    }
  },
  "description": "The API's own response: `data` rows, `count` of matching rows, `meta` (per the metadata input) and `params` (the query as understood, with the resolved dataset and distribution of each series). A 200 with `data: []` means no row matched.",
  "additionalProperties": true
}