{"uid":"cap_ShO9JtduyF9wveuuBEkLL","slug":"forecast-verification-inputs-numeric-distribution-numeric-row-ordering-c896e0db","name":"Forecast Verification Inputs — Numeric Distribution + Numeric Row Ordering","description":"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.","url":"https://market.datapackvibe.com/x402/assistant-ib26-weather-24-073?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","station_group","date","forecast_value","observed_value"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"station_group":{"type":"string","default":"","maxLength":80},"forecast_value":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"observed_value":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","station_group":"group-a","forecast_value":10,"observed_value":1},{"date":"2026-10-02","row_id":"row-2","station_group":"group-b","forecast_value":20,"observed_value":2},{"date":"2026-10-03","row_id":"row-3","station_group":"group-a","forecast_value":15,"observed_value":3},{"date":"2026-10-04","row_id":"row-4","station_group":"group-b","forecast_value":30,"observed_value":4}],"maxItems":200,"minItems":1},"field":{"enum":["forecast_value","observed_value"],"type":"string","default":"forecast_value"}}},"responseSchema":null,"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.01","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"probe","requiresHandshake":false,"reviewCount":0,"rating":{"score":"0.00","successRate":"0.00","reviews":0,"stars":null,"state":"unrated"},"availabilityStatus":"unknown","priceObserved":null,"sessionDeposit":null,"pricing":{"kind":"static","summary":"$0.01/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_NmUcubm-2jxIY3CYqWcaV","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.01","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"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.","exampleAgentPrompt":"I have 150 rows of forecast verification data with station groups and dates — can you run a numeric distribution and row ordering analysis on the forecast_value field for me?","exampleUseCases":[{"title":"Weather station forecast bias analysis","prompt":"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?"},{"title":"Model accuracy review across sites","prompt":"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."},{"title":"Outlier detection in forecast dataset","prompt":"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?"}],"resultDescription":"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.","failureModes":["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"],"whenToPreferThis":"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.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T18:37:06.108Z","isFirstParty":false,"canonicalSlug":"forecast-verification-inputs-numeric-distribution-numeric-row-ordering-c896e0db"}