{"uid":"cap_Zhjz0Bo3JPaJHVlXfMCoa","slug":"structured-data-observations-numeric-distribution-explicit-missing-19cec520","name":"Structured Data Observations — Numeric Distribution + Explicit Missing-Value Fill","description":"Structured data observations — Numeric distribution + Explicit missing-value fill: Numeric distribution + Explicit missing-value fill for supplied structured data observations records (valid_items, total_items). 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-web-08-085?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","site_group","date","valid_items","total_items"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"site_group":{"type":"string","default":"","maxLength":80},"total_items":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"valid_items":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","site_group":"group-a","total_items":1,"valid_items":10},{"date":"2026-10-02","row_id":"row-2","site_group":"group-b","total_items":2,"valid_items":20},{"date":"2026-10-03","row_id":"row-3","site_group":"group-a","total_items":3,"valid_items":15},{"date":"2026-10-04","row_id":"row-4","site_group":"group-b","total_items":4,"valid_items":30}],"maxItems":200,"minItems":1},"field":{"enum":["valid_items","total_items"],"type":"string","default":"valid_items"},"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_dTq9j2TEv9--vMf1KdKS0","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 numeric distribution statistics and fills missing values (zero, mean, or median) for up to 200 rows of structured observations with valid_items and total_items fields, delivering two analytical reports per call.","exampleAgentPrompt":"Can you analyze the numeric distribution of the valid_items column and fill in any missing values using median imputation for this dataset of up to 50 site observation rows — each with a row_id, site_group, date, valid_items, and total_items?","exampleUseCases":[{"title":"Audit data quality before pipeline ingestion","prompt":"I have 120 rows of daily site observations with row_id, site_group, date, valid_items, and total_items — can you give me a numeric distribution report on total_items and fill any missing total_items values using the mean before I load this into my pipeline?"},{"title":"Fill nulls in sparse monitoring dataset","prompt":"Some of my valid_items readings are null across 80 observation records. Can you fill those missing values with zero and also show me the distribution of valid_items across the whole dataset?"},{"title":"Summarize item coverage across site groups","prompt":"Here are 200 rows of structured observations grouped by site. Please run a numeric distribution analysis on valid_items and fill any gaps using median — I need both the distribution summary and the filled dataset to compare site group performance."}],"resultDescription":"Returns two analytical reports: (1) a numeric distribution summary (e.g. min, max, mean, median, quartiles, count) for the specified field (valid_items or total_items), and (2) the dataset with missing values in that field explicitly filled using the chosen method (zero, mean, or median). All processing is local with no external lookups.","failureModes":["Input array exceeds 200 rows — request rejected","Missing required fields (row_id, date, valid_items, total_items) in one or more rows — validation error","Invalid date format (must match YYYY-MM-DD pattern) — schema validation failure","Invalid method enum value (must be zero, mean, or median) — bad request","Invalid field enum value (must be valid_items or total_items) — bad request","Empty rows array — minimum 1 item required"],"whenToPreferThis":"Choose this endpoint when you need two bundled analytical operations — numeric distribution stats and missing-value imputation — on a small-to-medium structured dataset (up to 200 rows) with valid_items and total_items fields, all at a fixed low cost of $0.01 USDC. It is ideal for offline/batch data quality checks before pipeline ingestion, requiring no external data sources or predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T12:33:06.346Z","isFirstParty":false,"canonicalSlug":"structured-data-observations-numeric-distribution-explicit-missing-19cec520"}