Basel-Stadt Dataset Records (data.bs.ch)
bschogd/dataset-records
Rows of one curated Basel-Stadt open dataset: live parking garage occupancy (100088) and locations (100044), Rhine water level and discharge (100089, 100243), bicycle and pedestrian counts (100013), air quality at St. Johannplatz (100049) and polling stations (100098). 1 to 50 rows per call; sort with order_by, for example 'timestamp desc' for the newest Rhine readings. Row keys are the dataset's own (see dataset-fields).
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
Kanton Basel-Stadt Open Government Data
Data from the Open Government Data portal of the Canton of Basel-Stadt (https://data.bs.ch). Each dataset names its publisher and licence (mostly CC BY 4.0); credit the publisher named in the dataset's `default.publisher` field and the Canton of Basel-Stadt. Served by Eden Engine; not an official Basel-Stadt 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.
// 1. search: find the tool
omnial_search({ query: "what you need" })
// 2. inspect: price and input schema
omnial_inspect({ tool: "bschogd/dataset-records" })
// 3. learn: read the usage guide at runtime
omnial_learn({ tool: "bschogd/dataset-records" })
// 4. run: price the exact call first, then run it
omnial_execute({ tool: "bschogd/dataset-records", input: { /* see input_schema */ }, dry_run: true })
omnial_execute({ tool: "bschogd/dataset-records", input: { /* ... */ } })
// 5. settle: the call is charged when it finishes, nothing to doNot 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 | $0.0026 |
- Updated
- Oct 21, 2026
Input and output schemas
Input schema
{
"type": "object",
"required": [
"dataset_id",
"limit"
],
"properties": {
"limit": {
"type": "integer",
"maximum": 50,
"minimum": 1,
"description": "Rows per call, 1 to 50."
},
"offset": {
"type": "integer",
"maximum": 9950,
"minimum": 0,
"description": "Rows to skip, default 0, at most 9950."
},
"order_by": {
"type": "string",
"pattern": "^[a-z][a-z0-9_]{0,60}( (asc|desc))?$",
"description": "Optional sort, a field name from dataset-fields with optional ' asc' or ' desc', for example 'timestamp desc'."
},
"dataset_id": {
"enum": [
"100088",
"100044",
"100089",
"100243",
"100013",
"100049",
"100098"
],
"type": "string",
"description": "Dataset id. 100088 parking garage occupancy (live), 100044 parking garage locations, 100089 Rhine water level and discharge, 100243 Rhine level at Klingentalfaehre, 100013 bicycle and pedestrian counts, 100049 air quality St. Johannplatz, 100098 polling stations."
}
},
"additionalProperties": false
}Output schema
{
"type": "object",
"required": [
"total_count",
"results"
],
"properties": {
"results": {
"type": "array",
"items": {
"type": "object",
"additionalProperties": true
},
"description": "One object per record; the keys are the dataset's own fields (see dataset-fields)."
},
"total_count": {
"type": "integer",
"description": "Records in the dataset, before paging."
}
},
"additionalProperties": true
}