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Forecast Verification Inputs — Numeric Row Ordering + Secondary-Measure Weighted Mean
x402
Forecast Verification Inputs — Numeric Row Ordering + 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).
Computes numeric row ordering and secondary-measure weighted mean analytics for up to 200 forecast verification input records (forecast_value and observed_value pairs).
Price / call$0.01
Success—
StatusUnknown
How this service works
Forecast verification inputs — Numeric row ordering + Secondary-measure weighted mean: Numeric row ordering + Secondary-measure weighted mean 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: (1) numeric row ordering of the submitted records sorted by the selected field (forecast_value or observed_value), and (2) a secondary-measure weighted mean computed across up to 200 supplied rows. Results are derived purely from the submitted data using local analytical engines — no external data or predictions are involved.
Example use cases
Weather station forecast accuracy ranking
“I have 50 daily forecast vs observed temperature readings from two weather station groups, dates ranging from 2026-01-01 to 2026-02-19 — rank the rows numerically and give me the weighted mean on the observed_value field so I can see where forecasts diverged most.”
Model output verification batch summary
“Can you take my 120 forecast verification rows — each has a row_id, station_group, date, forecast_value, and observed_value — and run the numeric row ordering plus weighted mean report on forecast_value? I want to summarize model performance across groups.”
Comparing forecast and observed value distributions
“I've got 30 rows of paired forecast and observed precipitation values across two station groups from October 2026. Run the numeric ordering and secondary-measure weighted mean on observed_value so I can compare the distribution against the forecast side.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-24-121?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have a batch of forecast verification records (forecast_value + observed_value pairs) and need both numeric ordering and a weighted mean computed locally without any live data lookup, external prediction, or professional assessment. Ideal for post-hoc forecast accuracy analysis pipelines where you supply your own data and want two statistical reports in a single low-cost call ($0.01 USDC for up to 200 rows).
Side effects
- More than 200 rows submitted — request rejected with validation error
- Missing required fields (row_id, date, forecast_value, observed_value) — row rejected or error returned
- Invalid date format (not YYYY-MM-DD) — validation failure
- forecast_value or observed_value outside ±1,000,000,000,000 — rejected by schema
- Empty rows array — minimum 1 row required, request fails
- Invalid field enum value (not 'forecast_value' or 'observed_value') — schema validation error
- Payment not included or insufficient USDC — x402 payment required error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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