{"uid":"cap_Cn3g5BIWfQTJ_aVmwH83G","slug":"sampling-observations-quality-audit-missing-value-fill-77074dfa","name":"Sampling Observations Quality Audit & Missing Value Fill","description":"Sampling observations — Record quality audit + Explicit missing-value fill: Record quality audit + Explicit missing-value fill for supplied sampling observations records (sample_value, sample_weight). 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-analytics-15-019?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","sample_value","sample_weight"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"sample_value":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"dataset_group":{"type":"string","default":"","maxLength":80},"sample_weight":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","sample_value":10,"dataset_group":"group-a","sample_weight":1},{"date":"2026-10-02","row_id":"row-2","sample_value":20,"dataset_group":"group-b","sample_weight":2},{"date":"2026-10-03","row_id":"row-3","sample_value":15,"dataset_group":"group-a","sample_weight":3},{"date":"2026-10-04","row_id":"row-4","sample_value":30,"dataset_group":"group-b","sample_weight":4}],"maxItems":200,"minItems":1},"field":{"enum":["sample_value","sample_weight"],"type":"string","default":"sample_value"},"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_LtP3a1uMTXiC8L-KTU3S6","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":"Audits row-level data quality and fills missing values (zero, mean, or median) for sampling observation records with sample_value and sample_weight fields, processing up to 200 rows.","exampleAgentPrompt":"Can you run a quality audit on my sampling observations and fill any missing sample_value entries using median imputation? I have about 50 rows across two groups collected in October 2026.","exampleUseCases":[{"title":"Survey data quality check before analysis","prompt":"I have 120 rows of survey sampling data with sample_value and sample_weight columns — some values are null. Can you audit the data quality and fill in the missing sample_values using median imputation so I can proceed with my analysis?"},{"title":"Weighted sample missing value fill with zero","prompt":"My dataset of 80 sampling observations has some null sample_weight entries. Can you run a quality audit on all rows and fill those missing weights with zero?"},{"title":"Pre-pipeline data validation for sampling records","prompt":"Before I feed my sampling records into the pipeline, can you do a quality audit and fill any missing sample_value fields using mean imputation? There are about 150 rows across several dataset groups dated from 2025."}],"resultDescription":"Returns two independent reports: (1) a record quality audit flagging issues such as nulls, out-of-range values, or anomalies across submitted rows, and (2) an explicit missing-value fill report showing which fields were imputed and the replacement values used (zero, mean, or median), all computed locally without external lookups.","failureModes":["More than 200 rows submitted — exceeds max batch size","Invalid date format (must be YYYY-MM-DD)","sample_value or sample_weight outside allowed range (-1e12 to 1e12)","Missing required fields row_id or dataset_group","Invalid method enum value (must be zero, mean, or median)","Invalid field enum (must be sample_value or sample_weight)","Payment failure via x402 protocol"],"whenToPreferThis":"Choose this endpoint when you need a combined quality audit and missing-value imputation in a single call for small-to-medium sampling datasets (up to 200 rows) with sample_value and sample_weight fields. It is ideal for pre-processing survey or experimental sampling data before downstream statistical analysis, when you do not need live data lookups, predictions, or professional assessments — just local analytical computation on your supplied data.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T12:38:43.841Z","isFirstParty":false,"canonicalSlug":"sampling-observations-quality-audit-missing-value-fill-77074dfa"}