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Reservoir Observations — String Normalisation + Two-Measure Correlation
x402
Reservoir Observations — String Normalisation + Two-Measure Correlation 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 strings and computes two-measure correlation for up to 200 reservoir observation records containing stored_m3 and capacity_m3 fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Reservoir observations — String normalisation + Two-measure correlation: String normalisation + Two-measure correlation 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: (1) a string normalisation report cleaning station_group and other text fields across the submitted rows, and (2) a two-measure correlation report quantifying the statistical relationship between stored_m3 and capacity_m3. Both reports are generated locally from the supplied data with no external lookups.
Example use cases
Reservoir storage capacity trend analysis
“I've got daily reservoir readings from three station groups — each row has a date, stored_m3, and capacity_m3. Can you normalise the station group strings and compute the correlation between stored volume and capacity across all 150 rows?”
Water utility data quality and stats check
“Our water utility collected 80 reservoir observations with row IDs, station groups, dates, stored_m3, and capacity_m3 values. Please normalise the text fields and give me a two-measure correlation report on the stored and capacity numbers.”
Monthly drought monitoring dataset review
“I'm reviewing monthly reservoir data for drought monitoring — about 60 rows covering multiple station groups. Run string normalisation and a two-measure correlation between stored_m3 and capacity_m3 so I can see how tightly storage tracks capacity.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-19-033?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have reservoir observation data with stored_m3 and capacity_m3 columns and need both string normalisation of text fields and a two-measure correlation analysis in a single call. It is purpose-built for hydrology and water resource datasets up to 200 rows, offering two bundled analytical reports for a flat $0.01 USDC fee with no external data lookups or predictions.
Side effects
- More than 200 rows submitted — exceeds maximum batch size
- Missing required fields (row_id, station_group, date, stored_m3, or capacity_m3) on any row
- Invalid date format (must match YYYY-MM-DD pattern)
- All stored_m3 or capacity_m3 values are null — correlation cannot be computed
- Numeric values outside allowed range (-1e12 to 1e12)
- Payment of 0.01 USDC not fulfilled — x402 payment required
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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