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Forecast Verification Inputs — Numeric Distribution + Numeric Row Ordering
x402
Forecast Verification Inputs — Numeric Distribution + 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 2026-11-02).
Computes a numeric distribution report and a numeric row ordering report for forecast_value and observed_value data, analyzing up to 200 rows of forecast verification records locally without any live lookups or external calls.
Price / call$0.01
Success—
StatusUnknown
How this service works
Forecast verification inputs — Numeric distribution + Numeric row ordering: Numeric distribution + 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
Returns two independent analytical reports for up to 200 rows of forecast verification data: (1) a numeric distribution report describing the statistical spread (e.g. min, max, mean, percentiles, histogram bins) of the selected field, and (2) a numeric row ordering report ranking each row by the selected numeric field value. Reports are computed locally using shared analytical engines with no external data access.
Example use cases
Weather station forecast bias analysis
“I have daily forecast and observed temperature readings from two station groups for October 2026 — about 60 rows. Can you analyze the numeric distribution and rank the rows by forecast_value so I can see which days had the most extreme forecasts?”
Model accuracy review across sites
“We're validating our precipitation forecast model. I've got 120 rows with forecast_value and observed_value paired by date and station group. Run a numeric distribution and numeric row ordering on the observed_value field so I can see the spread and how the observations rank.”
Outlier detection in forecast dataset
“Can you take these 80 rows of forecast verification records — each has a row_id, station_group, date, forecast_value, and observed_value — and give me the numeric distribution plus row ordering for forecast_value so I can spot where our model is way off?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-24-073?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a statistical distribution summary and a ranked ordering of numeric forecast verification rows in a single low-cost call ($0.01 USDC for both reports). It is ideal for meteorological or sensor forecast datasets with paired forecast/observed values where you want offline, local analysis with no external data dependencies. Prefer this over general-purpose statistics APIs when your data is structured as forecast verification records with station groups and dates.
Side effects
- Rows array is empty or missing — validation error returned
- Row count exceeds 200 items — request rejected
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- forecast_value or observed_value out of allowed range (±1,000,000,000,000) — validation error
- Missing required fields (row_id, station_group, date) — schema error
- Invalid field enum value (not 'forecast_value' or 'observed_value') — rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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