{"uid":"cap_BI4QPxp1P_2-iNSAu6FBp","slug":"crop-yield-records-explicit-missing-value-fill-1ff8cab6","name":"Crop Yield Records – Explicit Missing-Value Fill","description":"Crop yield records - Explicit missing-value fill: Explicit missing-value fill for Crop yield records. Up to 200 supplied typed records. Local descriptive analytics; no enrichment or forecast. One of 25 new profiles across 20 shared operations in this industry. 0.01 USDC includes one bounded explicit missing-value fill report.","url":"https://market.datapackvibe.com/x402/assistant-ar-analytics-crop-yield-records-fill-missing?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","crop","date","hectares","harvest_kg"],"properties":{"crop":{"type":"string","default":"","maxLength":80},"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"hectares":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"harvest_kg":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"crop":"group-a","date":"2026-10-01","row_id":"row-1","hectares":10,"harvest_kg":1},{"crop":"group-b","date":"2026-10-02","row_id":"row-2","hectares":20,"harvest_kg":2},{"crop":"group-a","date":"2026-10-03","row_id":"row-3","hectares":15,"harvest_kg":3},{"crop":"group-b","date":"2026-10-04","row_id":"row-4","hectares":30,"harvest_kg":4}],"maxItems":200,"minItems":1},"field":{"enum":["hectares","harvest_kg"],"type":"string","default":"hectares"},"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_b4eNk2aPbsU9CaN0vjzRK","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":"Fills missing numeric values (hectares or harvest_kg) in crop yield records using zero, mean, or median imputation, returning a local descriptive analytics report.","exampleAgentPrompt":"I have a batch of crop yield records with some null hectares values — can you fill those missing entries using median imputation and give me a report? Here are up to 200 rows with row_id, crop, date, hectares, and harvest_kg fields.","exampleUseCases":[{"title":"Filling gaps in harvest weight data","prompt":"I've got a CSV of crop yield records but several rows have null harvest_kg values — can you fill those missing harvest weights using the mean of the other rows and send me back the completed dataset?"},{"title":"Zero-filling missing acreage before analysis","prompt":"Before I run my yield analysis, I need to replace any null hectares fields with zero in my crop records — here are my 150 rows, please fill missing hectares with zero and give me a summary report."},{"title":"Cleaning seasonal crop data for reporting","prompt":"My seasonal crop yield dataset has some incomplete rows where hectares is missing — can you impute those missing hectares values using the median and return a descriptive analytics report so I can verify the fill?"}],"resultDescription":"Returns a bounded explicit missing-value fill report covering up to 200 crop yield records. The report identifies which rows had missing values in the chosen field (hectares or harvest_kg) and shows the imputed replacement values computed via the selected method (zero, mean, or median). Includes local descriptive analytics — no forecasting or external enrichment.","failureModes":["Input array exceeds 200 rows — request rejected","row_id missing or empty on any record — validation error","date field not matching YYYY-MM-DD pattern — schema validation failure","field enum value not 'hectares' or 'harvest_kg' — invalid input","method enum value not 'zero', 'mean', or 'median' — invalid input","All values in chosen field are non-null — fill report shows no changes","Payment not provided or insufficient — 402 payment required"],"whenToPreferThis":"Choose this endpoint when you have crop yield tabular data with null or missing numeric fields (hectares or harvest_kg) that need to be imputed before downstream analytics. It is purpose-built for agricultural yield records with a fixed schema, offering three imputation strategies (zero, mean, median) and returning a descriptive analytics report. Prefer this over generic data-cleaning services when your data fits the crop/date/hectares/harvest_kg schema and you want a fast, inexpensive ($0.01 USDC) single-call solution without external enrichment or forecasting.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-18T00:58:23.702Z","isFirstParty":false,"canonicalSlug":"crop-yield-records-explicit-missing-value-fill-1ff8cab6"}