{"uid":"cap_fk4kZ507Upy3D5aV3egjw","slug":"solar-observations-string-normalisation-and-missing-value-fill-9026c761","name":"Solar Observations String Normalisation and Missing-Value Fill","description":"Solar observations — String normalisation + Explicit missing-value fill: String normalisation + Explicit missing-value fill for supplied solar observations records (irradiance_wm2, duration_hours). 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-06-037?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","station_group","date","irradiance_wm2","duration_hours"],"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},"duration_hours":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"irradiance_wm2":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","station_group":"group-a","duration_hours":1,"irradiance_wm2":10},{"date":"2026-10-02","row_id":"row-2","station_group":"group-b","duration_hours":2,"irradiance_wm2":20},{"date":"2026-10-03","row_id":"row-3","station_group":"group-a","duration_hours":3,"irradiance_wm2":15},{"date":"2026-10-04","row_id":"row-4","station_group":"group-b","duration_hours":4,"irradiance_wm2":30}],"maxItems":200,"minItems":1},"field":{"enum":["irradiance_wm2","duration_hours"],"type":"string","default":"irradiance_wm2"},"method":{"enum":["zero","mean","median"],"type":"string","default":"median"}}},"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_EUZI0fb0lCRosXMg-Sudr","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":"Normalises string fields and fills missing values (using zero, mean, or median) in solar observation records containing irradiance and duration data.","exampleAgentPrompt":"I have 150 solar observation rows with station groups, dates, and some missing irradiance_wm2 values — can you normalise the strings and fill those nulls using median imputation?","exampleUseCases":[{"title":"Impute missing irradiance readings","prompt":"I've got a batch of 80 solar observation records from station group 'site-north' and several rows are missing irradiance_wm2 values — can you fill them in using the median of the available readings and normalise all the string fields?"},{"title":"Zero-fill missing solar duration hours","prompt":"My solar dataset has 120 rows with some null duration_hours entries — please clean up the strings and fill those missing values with zero so I can load it into my pipeline."},{"title":"Mean imputation for mixed-station solar data","prompt":"I have 200 solar observation records across multiple station groups from October 2026, and the irradiance_wm2 column has gaps — can you normalise the strings and use mean imputation to fill the missing values?"}],"resultDescription":"Returns 2 analytical reports covering string-normalised and missing-value-filled solar observation records (irradiance_wm2 and/or duration_hours) for up to 200 input rows, processed locally with no external lookups.","failureModes":["More than 200 rows submitted — request rejected due to maxItems constraint","Invalid date format not matching YYYY-MM-DD pattern","Missing required fields (row_id, date, irradiance_wm2, duration_hours) in any row","Invalid method enum value outside zero/mean/median","Invalid field enum value outside irradiance_wm2/duration_hours","Payment not included or insufficient USDC balance"],"whenToPreferThis":"Choose this endpoint when you have up to 200 solar observation records (irradiance and duration data) that need both string normalisation and structured missing-value imputation in a single low-cost call. Ideal for data-prep pipelines where raw solar station exports contain messy strings and null numeric fields before downstream analysis.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T12:49:42.801Z","isFirstParty":false,"canonicalSlug":"solar-observations-string-normalisation-and-missing-value-fill-9026c761"}