Search Series Within a Dataset (DBnomics)

dbnomics/search-series

Searches one DBnomics dataset for series by plain words (for example united states, inflation, exchange rate) and returns each match's provider, dataset and series code, name, frequency and dimensions, without observations. Use it to find the series code that DBnomics Time Series needs. Takes an agency code from the public statistical agencies only (central banks, national statistics offices, IMF, OECD, Eurostat, World Bank and similar), a dataset code such as WEO:2023-10, an optional search text and a page size of up to 100; every word of the text must match. An empty results list means nothing matched. An unknown dataset code is a VALIDATION error. Each series keeps the licence and terms of the agency named in provider_code. DBnomics data, passed through unmodified and served by Eden Engine; not an official DBnomics 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

DBnomics

Data from DBnomics (CEPREMAP), https://db.nomics.world. DBnomics' own aggregated datasets are published under the ODbL (https://opendatacommons.org/licenses/odbl/1-0/); each series is the original source agency's data, named in provider_code, and remains subject to that agency's licence and terms of use (listed by agency in DBnomics List Providers). Credit DBnomics and the source agency. Served by Eden Engine; not an official DBnomics 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.

Install it Create an account

agent

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

// 2. inspect: price and input schema
omnial_inspect({ tool: "dbnomics/search-series" })

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

// 4. run: price the exact call first, then run it
omnial_execute({ tool: "dbnomics/search-series", input: { /* see input_schema */ }, dry_run: true })
omnial_execute({ tool: "dbnomics/search-series", 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": [
    "provider_code",
    "dataset_code"
  ],
  "properties": {
    "q": {
      "type": "string",
      "maxLength": 200,
      "minLength": 1,
      "description": "Plain words to find in series names, for example united states. Every word must match. Leave out to list the dataset's series in order."
    },
    "limit": {
      "type": "integer",
      "default": 20,
      "maximum": 100,
      "minimum": 1,
      "description": "Maximum number of series to return, 1 to 100. Defaults to 20."
    },
    "offset": {
      "type": "integer",
      "minimum": 0,
      "description": "Number of matches to skip, for reading further pages. Leave out to start at the first."
    },
    "dataset_code": {
      "type": "string",
      "pattern": "^[A-Za-z0-9_.:-]{1,120}$",
      "description": "The agency's dataset code, case as published, for example WEO:2023-10 (IMF World Economic Outlook, October 2023) or EXR (ECB exchange rates)."
    },
    "provider_code": {
      "enum": [
        "AFDB",
        "AMECO",
        "BDF",
        "BEA",
        "BIS",
        "BLS",
        "BOC",
        "EC",
        "ECB",
        "EIA",
        "Eurostat",
        "FED",
        "FHFA",
        "ILO",
        "IMF",
        "INDEC",
        "INEPT",
        "INSEE",
        "ISTAT",
        "NBB",
        "OBR",
        "OECD",
        "ONS",
        "STATCAN",
        "STATJP",
        "UNCTAD",
        "UNDATA",
        "WB"
      ],
      "type": "string",
      "description": "The source agency's DBnomics code, case as shown, for example IMF, ECB, Eurostat, OECD, WB or BEA. Only public statistical agencies are served (the enum); DBnomics also indexes commercial sources, which are refused."
    }
  },
  "additionalProperties": false
}

Output schema

output_schema.json

{
  "type": "object",
  "required": [
    "results"
  ],
  "properties": {
    "results": {
      "type": "array",
      "items": {
        "type": "object",
        "required": [
          "series_code"
        ],
        "properties": {
          "@frequency": {
            "type": "string",
            "description": "Observation frequency, for example annual. Not on every series."
          },
          "dimensions": {
            "type": "object",
            "description": "The series' dimension codes, for example country, subject and unit.",
            "additionalProperties": true
          },
          "indexed_at": {
            "type": "string",
            "description": "When DBnomics last fetched this series from the agency (ISO 8601, UTC)."
          },
          "series_code": {
            "type": "string",
            "description": "Series code; pass it to DBnomics Time Series."
          },
          "series_name": {
            "type": "string",
            "description": "Human-readable series name."
          },
          "dataset_code": {
            "type": "string",
            "description": "Dataset code."
          },
          "dataset_name": {
            "type": "string",
            "description": "Dataset name."
          },
          "provider_code": {
            "type": "string",
            "description": "Source agency code."
          }
        },
        "additionalProperties": true
      },
      "description": "One object per matching series."
    }
  },
  "description": "The matching series, in the order DBnomics ranks them. Empty when nothing matches.",
  "additionalProperties": true
}