Search Seattle Open Data Datasets (City of Seattle)

seattleopendata/dataset-search

Searches the catalog of the City of Seattle open data portal for datasets by keyword: dataset id, name, description, publishing department, columns, update dates, licence and the portal page. Use the returned id with a SoQL tool, or read the column list to see what a dataset holds. Required page size of 1 to 20; results are ranked by relevance.

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

City of Seattle (data.seattle.gov)

City of Seattle open data portal (data.seattle.gov). The datasets are published by the City of Seattle under the Public Domain licence the portal declares for each. Served by Eden Engine; not an official City of Seattle 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: "seattleopendata/dataset-search" })

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

// 4. run: price the exact call first, then run it
omnial_execute({ tool: "seattleopendata/dataset-search", input: { /* see input_schema */ }, dry_run: true })
omnial_execute({ tool: "seattleopendata/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": [
    "query",
    "limit"
  ],
  "properties": {
    "limit": {
      "type": "integer",
      "maximum": 20,
      "minimum": 1,
      "description": "How many datasets to return, 1 to 20. Required."
    },
    "query": {
      "type": "string",
      "maxLength": 200,
      "minLength": 2,
      "description": "Words to search for in dataset names, descriptions and columns, for example parking or police."
    },
    "offset": {
      "type": "integer",
      "minimum": 0,
      "description": "Datasets to skip, for reading further pages. Leave out to start at the first."
    }
  },
  "description": "What to search for.",
  "additionalProperties": false
}

Output schema

output_schema.json

{
  "type": "object",
  "required": [
    "resultSetSize",
    "results"
  ],
  "properties": {
    "results": {
      "type": "array",
      "items": {
        "type": "object",
        "required": [
          "resource"
        ],
        "properties": {
          "link": {
            "type": "string",
            "description": "Link to the dataset on the portal."
          },
          "metadata": {
            "type": "object",
            "description": "Portal metadata: `domain`, `license`.",
            "additionalProperties": true
          },
          "resource": {
            "type": "object",
            "description": "Dataset metadata: `id`, `name`, `description`, `attribution`, `updatedAt`, `data_updated_at`, `columns_name`, `columns_field_name`, `columns_datatype`, `download_count`.",
            "additionalProperties": true
          },
          "permalink": {
            "type": "string",
            "description": "Page of the dataset on the portal."
          },
          "classification": {
            "type": "object",
            "description": "Domain category and tags the portal assigns.",
            "additionalProperties": true
          }
        },
        "description": "One dataset.",
        "additionalProperties": true
      },
      "description": "The matching datasets, most relevant first; empty when none match."
    },
    "resultSetSize": {
      "type": "integer",
      "description": "How many datasets match in total."
    }
  },
  "description": "One page of catalog search results.",
  "additionalProperties": true
}