{"uid":"cap_bSiKkXcRzYJefaP3HaMvG","slug":"null-coverage-analytics-equal-width-histogram-missing-value-fill-08673f15","name":"Null Coverage Analytics: Equal-Width Histogram + Missing-Value Fill","description":"Null coverage — Equal-width histogram + Explicit missing-value fill: Equal-width histogram + Explicit missing-value fill for supplied null coverage records (missing_values, total_values). 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-03-175?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"bins":{"type":"integer","default":5,"maximum":30,"minimum":1},"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","missing_values","total_values"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"total_values":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"dataset_group":{"type":"string","default":"","maxLength":80},"missing_values":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","total_values":1,"dataset_group":"group-a","missing_values":10},{"date":"2026-10-02","row_id":"row-2","total_values":2,"dataset_group":"group-b","missing_values":20},{"date":"2026-10-03","row_id":"row-3","total_values":3,"dataset_group":"group-a","missing_values":15},{"date":"2026-10-04","row_id":"row-4","total_values":4,"dataset_group":"group-b","missing_values":30}],"maxItems":200,"minItems":1},"field":{"enum":["missing_values","total_values"],"type":"string","default":"missing_values"},"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_BmYzyk2ACZ-ES3-HJzBlC","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":"Generates an equal-width histogram of null coverage data and fills missing values (zero, mean, or median) for up to 200 supplied rows, returning 2 analytical reports.","exampleAgentPrompt":"I have up to 200 rows of null coverage data with missing_values and total_values columns — can you run an equal-width histogram with 10 bins on the missing_values field and also fill in any nulls using median imputation?","exampleUseCases":[{"title":"Data Quality Audit Histogram","prompt":"I've got a dataset with 150 rows tracking missing_values and total_values per dataset_group — can you generate an equal-width histogram with 5 bins on the missing_values field so I can see how null counts are distributed?"},{"title":"Median Imputation Before ML Pipeline","prompt":"Before I train my model, I need to fill in missing entries in my total_values column across 80 records — can you use median imputation on those rows and give me the filled dataset back?"},{"title":"Group-Level Null Coverage Summary","prompt":"I have daily null coverage records grouped by dataset_group from 2025-01-01 to 2025-03-31, about 120 rows — run a 10-bin equal-width histogram on missing_values and fill any nulls with zero so I can report on data completeness."}],"resultDescription":"Returns 2 analytical reports: (1) an equal-width histogram showing frequency distribution of the chosen field across the specified number of bins, and (2) a missing-value fill report showing imputed values for null entries using the selected method (zero, mean, or median). No external data is fetched; all computation is performed locally on the supplied rows.","failureModes":["Submitting more than 200 rows returns a validation error","Missing required fields (row_id, date, missing_values, total_values) cause schema rejection","Invalid date format (not YYYY-MM-DD) triggers pattern validation failure","Bins value outside 1–30 range returns a bounds error","All rows having null in the target field may produce degenerate histogram results","Numeric values outside ±1,000,000,000,000 are rejected by schema bounds"],"whenToPreferThis":"Choose this endpoint when you have pre-collected null coverage data (missing_values and total_values per row) and need both a distribution histogram and missing-value imputation in a single call without any external data lookup or live ML inference. It is ideal for data quality audits, ETL pipeline preprocessing, and reporting workflows where you control the input records and want deterministic local analytics at low cost.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-18T00:58:15.021Z","isFirstParty":false,"canonicalSlug":"null-coverage-analytics-equal-width-histogram-missing-value-fill-08673f15"}