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Rainfall Observations — String Normalisation + Secondary-Measure Weighted Mean
x402
Rainfall 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 2026-10-30).
Normalises string fields and computes a secondary-measure weighted mean across supplied rainfall observation records (rainfall_mm, duration_hours) for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Rainfall observations — String normalisation + Secondary-measure weighted mean: String normalisation + Secondary-measure weighted mean for supplied rainfall observations records (rainfall_mm, duration_hours). 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
Returns two analytical reports per call: (1) normalised string values for the station_group and other string fields across all submitted rows, and (2) a secondary-measure weighted mean for the selected numeric field (rainfall_mm or duration_hours), weighted by the complementary measure. Results are scoped entirely to the supplied data with no external lookups or predictions.
Example use cases
Weighted mean for weather station network
“I have readings from two station groups collected over October — can you normalise the station group names and compute the duration-weighted mean of rainfall_mm across these 12 rows? Here are the records: row-1, group-a, 2026-10-01, 8mm, 2hrs; row-2, group-B, 2026-10-01, 12mm, 3hrs; ... (up to 12 rows total)”
Cleaning inconsistent rainfall log strings
“My rainfall log CSV has messy station_group values with mixed casing and extra spaces — can you run string normalisation plus a secondary-measure weighted mean on these 50 rainfall observation rows so I get clean labels and a weighted average?”
Aggregating hydrology field data
“We collected 80 rows of field rainfall observations across multiple sites. Can you normalise the site name strings and calculate a duration_hours-weighted mean for the rainfall_mm field so we can compare sites fairly?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-02-034?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have rainfall observation records (up to 200 rows) and need both string normalisation of categorical/label fields and a secondary-measure weighted mean computed locally without any external API calls, live data lookups, or predictions. Ideal for preprocessing and summarising hydrology or weather station datasets in a single low-cost call.
Side effects
- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, date, rainfall_mm, duration_hours, station_group) causes rejection
- Invalid date format (not YYYY-MM-DD) triggers a pattern validation error
- Numeric values outside the allowed range cause schema rejection
- Payment failure via x402 protocol prevents processing
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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