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Reservoir Observations — String Normalisation + Numeric Interval Filter
x402
Reservoir Observations — String Normalisation + Numeric Interval Filter is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-31).
Normalises station group strings and filters reservoir observation rows by a numeric interval on stored_m3 or capacity_m3, returning two analytical reports for up to 200 supplied rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Reservoir observations — String normalisation + Numeric interval filter: String normalisation + Numeric interval filter for supplied reservoir observations records (stored_m3, capacity_m3). 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 derived from the supplied reservoir observation rows: one covering string normalisation of station_group values, and one applying a numeric interval filter on the chosen field (stored_m3 or capacity_m3) to return only rows within the specified minimum–maximum range. No live data, predictions, or external lookups are included.
Example use cases
Drought monitoring volume range check
“I have a batch of reservoir readings from our monitoring stations — please normalise the station group names and filter the records to only show where stored_m3 is between 0 and 250000 cubic metres so I can flag low-storage sites.”
Capacity data cleaning for reporting
“Can you clean up the station_group strings in my reservoir dataset and apply an interval filter on capacity_m3 between 100000 and 500000? I need the two output reports to include in our quarterly water authority summary.”
Anomaly pre-screen on reservoir inflows
“I've got 150 reservoir observation rows and I want to normalise the station group labels, then filter to stored_m3 values between -1000 and 1000 to catch any near-zero or negative readings that might indicate sensor errors.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-19-026?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have pre-collected reservoir observation records (stored_m3, capacity_m3) that need both string normalisation on station group labels and a numeric range filter applied in a single call, producing two local analytical reports without any external data lookup or live prediction. It is ideal for batch preprocessing of water-storage datasets up to 200 rows at low cost ($0.01 USDC for both reports).
Side effects
- rows array empty or missing — validation error
- more than 200 rows supplied — rejected with max-items error
- invalid date format (not YYYY-MM-DD) — schema validation failure
- minimum value greater than maximum value — may return empty filtered result set
- stored_m3 or capacity_m3 outside ±1,000,000,000,000 bounds — schema rejection
- field enum value not 'stored_m3' or 'capacity_m3' — validation error
- payment not provided or insufficient — 402 Payment Required
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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