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River Level Observations — String Normalisation + Secondary-Measure Weighted Mean
x402
River Level Observations — String Normalisation + Secondary-Measure Weighted Mean is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-11-02).
Normalises station group strings and computes a flow-weighted mean for supplied river level observation records (level_m, flow_m3s) across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
River level observations — String normalisation + Secondary-measure weighted mean: String normalisation + Secondary-measure weighted mean for supplied river level observations records (level_m, flow_m3s). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.
Output
Two analytical reports: (1) normalised versions of the station_group strings across all supplied rows, and (2) a secondary-measure weighted mean of the selected field (level_m or flow_m3s) using the other measure as the weight, covering up to 200 input rows. No external lookups or live data are performed.
Example use cases
Flood monitoring station data cleanup
“I've got 80 rows of river gauge readings from multiple stations — the station names are inconsistent (e.g. 'north-gauge', 'North Gauge', 'NORTH GAUGE') and I need them normalised, plus a flow-weighted mean of level_m across all stations.”
Catchment hydrology reporting
“Run string normalisation on the station_group field and compute a secondary-measure weighted mean for flow_m3s across these 120 river observation records I'm uploading — I need both reports for a catchment summary.”
Environmental compliance data prep
“Before I submit this river monitoring dataset to our regulator, can you clean up the station group labels and give me a weighted mean of river levels weighted by flow for these 200 observation rows?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-07-034?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular river observation data (level and flow readings) that needs both string normalisation of categorical station labels and a statistically weighted aggregate in a single call. It is purpose-built for hydrology datasets up to 200 rows and bundles two analytical reports for $0.01 USDC, making it efficient for batch preprocessing before reporting or regulatory submission. Not suitable when you need live river data retrieval, forecasting, or more than 200 rows.
Side effects
- Rows exceeding 200 items will be rejected (maxItems constraint)
- Missing required fields (row_id, station_group, date, level_m, flow_m3s) will cause validation errors
- Invalid date format (non-YYYY-MM-DD) will fail schema validation
- Null values in both level_m and flow_m3s simultaneously may produce undefined weighted mean
- Payment not included or insufficient USDC will result in 402 response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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