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Forecast Verification Inputs — Exact Row Deduplication + Date by Category Pivot
x402
Forecast Verification Inputs — Exact Row Deduplication + Date by Category Pivot is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-29).
Deduplicates forecast verification rows and pivots date-by-category for supplied forecast_value/observed_value records, returning two local analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Forecast verification inputs — Exact row deduplication + Date by category pivot: Exact row deduplication + Date by category pivot 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
Returns two analytical reports derived entirely from the supplied data: (1) an exact row deduplication report identifying and removing duplicate records across all fields, and (2) a date-by-category pivot table cross-tabulating the selected field (forecast_value or observed_value) by date and station_group. No external data sources or live predictions are used.
Example use cases
Deduplicate station forecast verification logs
“I've got a set of weather station verification records with row IDs, station groups like 'group-a' and 'group-b', dates, forecast values, and observed values — some rows are duplicated. Can you deduplicate them exactly and also give me a pivot of forecast_value by date and station group?”
Pivot observed values across forecast categories
“I have about 150 forecast verification entries across several station groups with dates ranging from 2026-10-01 onwards. Please run exact row deduplication and pivot the observed_value field by date and category so I can see the breakdown clearly.”
Audit forecast data quality before model evaluation
“Before I feed these forecast verification records into my accuracy model, I need two things: exact duplicate removal and a date-by-station-group pivot on forecast_value. The dataset has up to 200 rows with station_group, date, forecast_value, and observed_value columns.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-24-052?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 forecast verification records (with forecast_value and/or observed_value fields) and need both exact duplicate removal and a date-by-category pivot in a single low-cost call ($0.01 USDC for both reports). Prefer this over general-purpose data tools when your data conforms to the weather/forecast verification schema (station_group, date, forecast_value, observed_value) and you want two bundled analytical outputs without external lookups or live data dependencies.
Side effects
- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, station_group, date, forecast_value, or observed_value) — validation error
- Invalid date format (not YYYY-MM-DD pattern) — schema validation failure
- All rows are unique — deduplication report returns full dataset unchanged
- Numeric values out of range (beyond ±1,000,000,000,000) — schema rejection
- Empty rows array — minItems:1 constraint violated
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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