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Forecast Verification Inputs — Numeric Row Ordering + Keyed Dataset Comparison
x402
Forecast Verification Inputs — Numeric Row Ordering + Keyed Dataset Comparison 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).
Analyzes up to 200 rows of forecast vs. observed value pairs, producing two reports: numeric row ordering and keyed dataset comparison across station groups and dates.
Price / call$0.01
Success—
StatusUnknown
How this service works
Forecast verification inputs — Numeric row ordering + Keyed dataset comparison: Numeric row ordering + Keyed dataset comparison 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 computed locally against the supplied data: (1) a numeric row ordering of the input records ranked by the selected field (forecast_value or observed_value), and (2) a keyed dataset comparison between the primary 'rows' dataset and the secondary 'other' dataset, matching records by row_id/station_group/date keys and highlighting differences in forecast_value or observed_value.
Example use cases
Multi-station forecast accuracy audit
“I've got 150 rows of forecast vs observed temperature readings across two station groups from October 2026. Can you rank those rows numerically by forecast_value and also compare them against a second dataset with slightly different forecast values to flag any key-level mismatches?”
Comparing two forecast model outputs
“We ran two different forecast models over the same 80 dates and station groups. Can you take both sets of forecast_value and observed_value records and generate a numeric ordering report plus a row-by-row keyed comparison so I can see where the models diverge?”
Daily observed vs forecast delta check
“Here are 200 rows of weather station data with daily forecast and observed values from groups A and B through Q4 2026 — please produce a numeric ordering of the rows by observed_value and compare them key-by-key against our baseline dataset to spot any discrepancies.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-24-123?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to locally analyze forecast vs. observed value pairs — specifically to rank records numerically and compare two keyed datasets side by side — without relying on any external lookup, live weather data, or predictive modeling. Ideal for offline forecast verification workflows, model-output comparison pipelines, or auditing historical forecast accuracy across station groups at minimal cost ($0.01 USDC for both reports).
Side effects
- Rows array empty or missing — validation error returned
- Row count exceeds 200 — request rejected
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Missing required fields (row_id, forecast_value, observed_value) — error per row
- Null values in numeric fields may affect ordering output
- Mismatched row_ids between 'rows' and 'other' datasets result in unmatched keys in comparison report
- Payment not included or insufficient — 402 payment required response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| other | array |
Tags
x402
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