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Forecast Verification Inputs — String Normalisation + Numeric Row Ordering
x402
Forecast Verification Inputs — String Normalisation + Numeric Row Ordering is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-11-09).
Normalises string fields and orders rows numerically for up to 200 forecast verification records (forecast_value, observed_value), returning 2 analytical reports per call.
Price / call$0.01
Success—
StatusUnknown
How this service works
Forecast verification inputs — String normalisation + Numeric row ordering: String normalisation + Numeric row ordering for supplied forecast verification inputs records (forecast_value, observed_value). 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 per call: one applying string normalisation to text fields (e.g. station_group) and one ordering up to 200 rows by the selected numeric field (forecast_value or observed_value), using local analytical engines with no external lookups.
Example use cases
Weather station forecast data cleanup
“I have a batch of 50 weather station forecast verification records with messy station group strings and unsorted forecast values — can you normalise the strings and order the rows numerically by forecast_value so I can compare them cleanly?”
Observed vs forecast ranking for model audit
“Sort these 120 forecast verification rows by observed_value numerically and normalise the station_group strings — I need both reports so I can audit where our model drifted the most.”
Multi-group forecast dataset preparation
“I've got forecast and observed readings for group-a and group-b across 80 dates and need to clean up the string fields and get the rows in numeric order by forecast_value before I hand this off to my verification pipeline — can you run the two reports?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-24-025?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need lightweight, local string normalisation and numeric row ordering specifically for forecast verification data (forecast_value / observed_value pairs) without requiring live weather lookups, predictions, or external data enrichment. Best suited for pre-processing pipelines where you want two bundled reports cheaply ($0.01 USDC for up to 200 rows) rather than building custom sort/normalise logic.
Side effects
- More than 200 rows submitted — request rejected at maxItems constraint
- Invalid date format not matching YYYY-MM-DD pattern — validation error
- Missing required fields (row_id, station_group, date, forecast_value, observed_value) — schema validation failure
- Numeric values outside ±1,000,000,000,000 range — rejected
- Empty rows array — minItems:1 violation
- Invalid field enum value — must be 'forecast_value' or 'observed_value'
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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