{"uid":"cap_YPg0CtsMaLZjJXlg5chQL","slug":"sampling-observations-category-frequencies-explicit-missing-value-fill-96bcc5f0","name":"Sampling Observations — Category Frequencies + Explicit Missing-Value Fill","description":"Sampling observations — Category frequencies + Explicit missing-value fill: Category frequencies + 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-15-112?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_geRXIjUBkz_hhEcRwMcFg","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 category frequencies and fills missing values (zero, mean, or median) for up to 200 weighted sampling observation records, delivering two analytical reports in one call.","exampleAgentPrompt":"I have 150 weighted sampling observation rows with some nulls in sample_value — can you compute the category frequencies by dataset_group and fill the missing sample_value entries using median imputation?","exampleUseCases":[{"title":"Survey response frequency audit","prompt":"I've got 80 survey observation rows tagged by respondent group — can you calculate how frequently each group appears and fill any missing sample_value entries with the median so I can see the clean distribution?"},{"title":"Quality control on lab sample weights","prompt":"My lab sample dataset has 120 rows across 4 groups, and some sample_weight fields are null — please fill those missing weights using the mean method and also give me the category frequency breakdown by dataset_group."},{"title":"Missing value imputation for retail panel data","prompt":"I have a retail panel sample with 200 rows and several nulls in sample_value. Fill those gaps using zero-fill and show me how many observations fall into each dataset_group category."}],"resultDescription":"Returns two analytical reports for the submitted data: (1) a category frequency report showing how often each dataset_group appears across the rows, and (2) a missing-value fill report where nulls in the chosen field (sample_value or sample_weight) are replaced using the selected method (zero, mean, or median). All computation is local with no external lookups.","failureModes":["Exceeding 200 rows causes validation failure","Invalid date format (not YYYY-MM-DD) causes rejection","Missing required fields (row_id, dataset_group, date) cause schema validation errors","sample_value or sample_weight outside ±1,000,000,000,000 range rejected","Empty rows array not accepted (minItems:1)","Invalid field or method enum values cause request rejection"],"whenToPreferThis":"Choose this endpoint when you need both category frequency analysis and missing-value imputation on the same weighted sampling dataset in a single low-cost call (0.01 USDC for both reports). It is ideal for statistical preprocessing of small-to-medium datasets (≤200 rows) where no live data lookup, ML prediction, or external enrichment is needed — purely local analytical computation on supplied records.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T12:37:46.771Z","isFirstParty":false,"canonicalSlug":"sampling-observations-category-frequencies-explicit-missing-value-fill-96bcc5f0"}