{"uid":"cap_zLj6EtBOahQsBsP5rn9GC","slug":"sampling-observations-exact-row-deduplication-explicit-missing-value-4eeea081","name":"Sampling Observations — Exact Row Deduplication + Explicit Missing-Value Fill","description":"Sampling observations — Exact row deduplication + Explicit missing-value fill: Exact row deduplication + 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-15-054?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_DzaR8HyAzfhXXJ06BNVa3","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":"Deduplicates exact rows and fills missing values in sampling observation records (sample_value, sample_weight) for up to 200 rows, returning 2 analytical reports.","exampleAgentPrompt":"Can you clean up my sampling observations dataset — remove any exact duplicate rows and fill in missing sample_value entries using median imputation? I have up to 50 rows with fields row_id, dataset_group, date, sample_value, and sample_weight.","exampleUseCases":[{"title":"Survey data deduplication and imputation","prompt":"I have 80 rows of survey sample data with row_id, dataset_group, date, sample_value, and sample_weight — some rows are duplicated and some sample_value entries are null. Can you deduplicate the exact duplicate rows and fill in the missing sample_values using the median of the existing values?"},{"title":"Weighted sample cleanup before statistical analysis","prompt":"Before I run my weighted analysis, I need to clean my 120-row sampling dataset: remove any exact duplicate records and fill any null sample_weight values with zero. The data has columns row_id, dataset_group, date, sample_value, and sample_weight."},{"title":"Experimental observation quality fix","prompt":"My experiment produced 150 observation records but there are some exact duplicate rows and missing sample_value readings. Can you deduplicate them and impute the missing sample_values using the mean of the available values? Each row has a row_id, dataset_group, date, sample_value, and sample_weight."}],"resultDescription":"Returns 2 analytical reports covering: (1) exact duplicate row identification and removal results, and (2) missing-value fill results for the specified field (sample_value or sample_weight) using the chosen method (zero, mean, or median). Reports include cleaned records and a summary of changes applied.","failureModes":["More than 200 rows submitted — request rejected with validation error","Invalid date format (not YYYY-MM-DD) — schema validation failure","sample_value or sample_weight outside ±1,000,000,000,000 range — validation error","Empty rows array — minItems:1 constraint violation","Unknown fill method or field value — enum validation error","Payment not included or insufficient — x402 payment required response"],"whenToPreferThis":"Choose this endpoint when you need a combined, affordable ($0.01 USDC) offline data-cleaning operation on sampling observation records with up to 200 rows — specifically when you need both exact row deduplication AND explicit missing-value imputation (zero, mean, or median) in a single call. Prefer this over manual preprocessing scripts when working with sample_value/sample_weight survey or experimental data that requires reproducible, auditable cleaning with two bundled reports.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T12:38:58.088Z","isFirstParty":false,"canonicalSlug":"sampling-observations-exact-row-deduplication-explicit-missing-value-4eeea081"}