INSEE Dataset Observations: Prices, Accounts, Population Figures (Melodi)

insee/dataset-observations

Returns observations of one INSEE dataset (from insee/dataset-list): each with its dimensions (period, geography, product and so on), the value and its status. Narrow by frequency (A annual, Q quarterly, M monthly), geography code, and a first and last period. Returns at most max_result observations (default 20, up to 200) and can report how many the filter matches in total. A dimension the dataset does not have (for example geo on a dataset without one) is refused. Source: Insee, Licence Ouverte 2.0; figures unaltered; served by Eden Engine, not an official INSEE 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 $5.

Data source

INSEE (Institut national de la statistique et des etudes economiques)

Source : Insee, Licence Ouverte 2.0 (Etalab, https://www.etalab.gouv.fr/licence-ouverte-open-licence/). Figures passed through unaltered; the date of the last update is the `modified` field of insee/dataset-info. Served by Eden Engine; not an official INSEE 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.

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agent

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

// 2. inspect: price and input schema
omnial_inspect({ tool: "insee/dataset-observations" })

// 3. learn: read the usage guide at runtime
omnial_learn({ tool: "insee/dataset-observations" })

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

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

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Pricing

Every charge this tool can incur.

Charge	Price
Per call	$0.0026

Updated: Oct 20, 2026

Input and output schemas

Input schema

input_schema.json

{
  "type": "object",
  "required": [
    "dataset_id"
  ],
  "properties": {
    "geo": {
      "type": "string",
      "pattern": "^[A-Za-z0-9_.-]{1,40}$",
      "description": "Geography dimension GEO, in the dataset's own coding, for example 2025-FRANCE-F for metropolitan and overseas France in DS_IPC_PRINC. Leave out for all."
    },
    "freq": {
      "enum": [
        "A",
        "S",
        "Q",
        "M"
      ],
      "type": "string",
      "description": "Frequency dimension FREQ: A annual, S half-yearly, Q quarterly, M monthly. Leave out for all. Datasets without a FREQ dimension are refused."
    },
    "dataset_id": {
      "type": "string",
      "pattern": "^[A-Za-z0-9_-]{2,80}$",
      "description": "INSEE dataset id from insee/dataset-list, for example DS_IPC_PRINC (consumer prices)."
    },
    "end_period": {
      "type": "string",
      "pattern": "^[0-9]{4}(-[0-9]{2}|-Q[1-4])?$",
      "description": "Last period, same forms as start_period."
    },
    "max_result": {
      "type": "integer",
      "default": 20,
      "maximum": 200,
      "minimum": 1,
      "description": "Most observations to return, 1 to 200. Default 20."
    },
    "total_count": {
      "type": "boolean",
      "description": "True to also report how many observations match the filter, in paging.count."
    },
    "start_period": {
      "type": "string",
      "pattern": "^[0-9]{4}(-[0-9]{2}|-Q[1-4])?$",
      "description": "First period, as YYYY, YYYY-MM or YYYY-Qn (for example 2026-01)."
    }
  },
  "additionalProperties": false
}

Output schema

output_schema.json

{
  "type": "object",
  "required": [
    "observations"
  ],
  "properties": {
    "title": {
      "type": "object",
      "description": "Dataset title: { en, fr }.",
      "additionalProperties": true
    },
    "paging": {
      "type": "object",
      "description": "Page links, plus count (the total) when total_count is true.",
      "additionalProperties": true
    },
    "identifier": {
      "type": "string",
      "description": "The dataset id."
    },
    "observations": {
      "type": "array",
      "items": {
        "type": "object",
        "additionalProperties": true
      },
      "description": "Each has dimensions (TIME_PERIOD and others), measures (the value under a name such as OBS_VALUE_NIVEAU, as { value }) and attributes (status, decimals)."
    }
  },
  "additionalProperties": true
}