Ifremer Dataset Metadata: Licence, Institution, Citation and Variables (Ifremer ERDDAP)

ifremer/get-dataset-metadata

The full metadata of one open-licensed dataset on the Ifremer ERDDAP server (datasetID is one of the 52 ids the Ifremer list tool returns, for example ArgoFloats, gebco2021 or drifter_hourly_qc): every global attribute, including title, summary, institution, license and, where the dataset sets one, citation, plus each variable's name, type, units and attributes. Returned as ERDDAP's table of Row Type, Variable Name, Attribute Name, Data Type and Value. The license, institution and citation attributes say whom to credit and on what terms. The data may be used and redistributed but is not intended for legal use, since it may contain inaccuracies. Data from Ifremer's ERDDAP server, passed through unmodified and served by Eden Engine; not an official Ifremer 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

Ifremer

Source: Ifremer (erddap.ifremer.fr) and each dataset's institution and citation attributes, licence as stated in the dataset metadata. Not for legal use. Served by Eden Engine; not an official Ifremer 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.

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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: "ifremer/get-dataset-metadata" })

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

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

Charge	Price
Per call	$0.0026

Updated: Oct 20, 2026

Input and output schemas

Input schema

input_schema.json

{
  "type": "object",
  "required": [
    "datasetID"
  ],
  "properties": {
    "datasetID": {
      "enum": [
        "allDatasets",
        "OACP-Argo-NATL",
        "OACP-Argo-Global",
        "ANDRO",
        "ArgoFloats",
        "ArgoFloats-synthetic-BGC",
        "ArgoFloats-reference",
        "PCM-Argo",
        "ArgoFloats-index",
        "SST_Anomalies_Caledonie",
        "drifter_hourly_qc",
        "drifter_6hour_qc",
        "HF_ac49_84ad_3eb6",
        "gosud",
        "ariane_trajectories_qualitative",
        "coast_status",
        "histo_coord",
        "traj_lonlat_init_t0",
        "SDC_BAL_AGG_V2",
        "SDC_BLS_AGG_V2",
        "SDC_GLO_AGG_V2",
        "SDC_MED_AGG_V2",
        "SDC_NATL_AGG_V2",
        "SDC_BAL_CLIM_TS_V1_m",
        "SDC_BAL_CLIM_TS_V1_s",
        "SDC_BAL_CLIM_TS_V2_m",
        "SDC_BAL_CLIM_TS_V2_s",
        "SDC_BLS_CLIM_TS_V1_m",
        "SDC_BLS_CLIM_TS_V1_s",
        "SDC_BLS_CLIM_TS_V2_m",
        "SDC_BLS_CLIM_TS_V2_s",
        "SDC_BLS_DATA_TS_V1",
        "SDC_GLO_CLIM_TS_V1_1",
        "SDC_GLO_CLIM_TS_V1_2",
        "SDC_GLO_CLIM_TS_V2_1",
        "SDC_GLO_CLIM_TS_V2_2",
        "SDC_MED_CLIM_TS_V1_m",
        "SDC_MED_CLIM_TS_V1_s",
        "SDC_MED_CLIM_TS_V2_m_pre_post_emt",
        "SDC_MED_CLIM_TS_V2_m_whole_period",
        "SDC_MED_CLIM_TS_V2_s_decades",
        "SDC_MED_CLIM_TS_V2_s_pre_post_emt",
        "SDC_MED_CLIM_TS_V2_s_whole_period",
        "SDC_NAT_CLIM_TS_V1_025_m",
        "SDC_NAT_CLIM_TS_V1_025_s",
        "SDC_NAT_CLIM_TS_V1_050_m",
        "SDC_NAT_CLIM_TS_V1_050_s",
        "SDC_NAT_CLIM_TS_V2_050_m",
        "SDC_NAT_CLIM_TS_V2_050_s",
        "SDC_NS_CLIM_TS_V1_m",
        "SDC_NS_CLIM_TS_V1_s",
        "gebco2021"
      ],
      "type": "string",
      "description": "Dataset id, from the dataset list tool. Only datasets whose licence was read and is open are accepted."
    }
  },
  "additionalProperties": false
}

Output schema

output_schema.json

{
  "type": "object",
  "required": [
    "table"
  ],
  "properties": {
    "table": {
      "type": "object",
      "required": [
        "columnNames",
        "columnTypes",
        "rows"
      ],
      "properties": {
        "rows": {
          "type": "array",
          "items": {
            "type": "array"
          },
          "description": "One array per row, aligned with columnNames."
        },
        "columnNames": {
          "type": "array",
          "items": {
            "type": "string"
          },
          "description": "Column names; every row is an array in this order."
        },
        "columnTypes": {
          "type": "array",
          "items": {
            "type": "string"
          },
          "description": "ERDDAP type of each column."
        },
        "columnUnits": {
          "type": "array",
          "description": "Units of each column; null where there is none."
        }
      },
      "description": "ERDDAP's columnar table, unmodified.",
      "additionalProperties": true
    }
  },
  "description": "ERDDAP's attribute table for one dataset: columnNames, columnTypes and positional rows of Row Type, Variable Name, Attribute Name, Data Type, Value.",
  "additionalProperties": true
}