Open Calgary: Dataset Search

calgaryopendata/dataset-search

Keyword search over the dataset catalog of the Open Calgary (data.calgary.ca): returns up to 10 matching datasets per call with each one's id, title, description, type, last update, column names and field types, publishing agency, and its page address. Use it to find the dataset id to pass to the dataset-rows or dataset-metadata tools. A search with no match returns an empty list. City of Calgary data as served by Omnial; not an official City of Calgary 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

Open Calgary (data.calgary.ca)

Contains information licensed under the Open Government Licence - City of Calgary (https://data.calgary.ca/stories/s/u45n-7awa/). Data from the City of Calgary, published on Open Calgary. Served by Omnial; not an official City of Calgary 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: "calgaryopendata/dataset-search" })

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

// 4. run: price the exact call first, then run it
omnial_execute({ tool: "calgaryopendata/dataset-search", input: { /* see input_schema */ }, dry_run: true })
omnial_execute({ tool: "calgaryopendata/dataset-search", 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 21, 2026

Input and output schemas

Input schema

input_schema.json

{
  "type": "object",
  "required": [
    "q"
  ],
  "properties": {
    "q": {
      "type": "string",
      "maxLength": 200,
      "minLength": 2,
      "description": "Search words, for example road incident feed. Matches dataset titles, descriptions, tags and column names."
    },
    "limit": {
      "type": "integer",
      "default": 5,
      "maximum": 10,
      "minimum": 1,
      "description": "How many datasets to return, 1 to 10. Defaults to 5."
    },
    "offset": {
      "type": "integer",
      "maximum": 1000,
      "minimum": 0,
      "description": "Datasets to skip, for reading further pages. Leave out to start at the first."
    }
  },
  "additionalProperties": false
}

Output schema

output_schema.json

{
  "type": "object",
  "required": [
    "results"
  ],
  "properties": {
    "results": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "link": {
            "type": "string",
            "description": "The dataset's page address."
          },
          "owner": {
            "type": "object",
            "additionalProperties": true
          },
          "metadata": {
            "type": "object",
            "description": "`domain` (the portal host) and `license`.",
            "additionalProperties": true
          },
          "resource": {
            "type": "object",
            "description": "The dataset: `id`, `name`, `description`, `type`, `updatedAt`, `createdAt`, `columns_name`, `columns_field_name`, `columns_datatype`, `attribution`, `provenance` and download counts.",
            "additionalProperties": true
          },
          "permalink": {
            "type": "string",
            "description": "The dataset's stable page address."
          },
          "classification": {
            "type": "object",
            "description": "Category and tags.",
            "additionalProperties": true
          }
        },
        "additionalProperties": true
      },
      "description": "One entry per matching dataset; empty when nothing matches."
    },
    "resultSetSize": {
      "type": "integer",
      "description": "How many datasets match in total."
    }
  },
  "description": "The catalog's answer: matching datasets under `results` and the total match count in `resultSetSize`.",
  "additionalProperties": true
}