{"uid":"cap_N3Y9484Z9KSTjbiCBI-Jc","slug":"null-coverage-analytics-numeric-distribution-daily-sum-series-8e43b7c7","name":"Null Coverage Analytics — Numeric Distribution & Daily Sum Series","description":"Null coverage — Numeric distribution + Daily sum series: Numeric distribution + Daily sum series 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-03-075?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"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"}}},"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_UJeNrJytQbUUezu8MhVoy","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 two local analytical reports (numeric distribution and daily sum time series) for null coverage data (missing_values, total_values) across up to 200 rows.","exampleAgentPrompt":"Can you run a numeric distribution and daily sum series analysis on my null coverage data? I have 150 rows with row IDs, dataset groups, dates, missing_values, and total_values — analyze the missing_values field.","exampleUseCases":[{"title":"Data quality audit for ETL pipeline","prompt":"I need to analyze null coverage for our ETL pipeline logs — I have up to 180 rows with dates, dataset group names, missing_values, and total_values. Can you generate the numeric distribution and daily sum series for the missing_values field so I can see where gaps are concentrated?"},{"title":"Daily completeness trend for reporting","prompt":"We track data completeness daily across two dataset groups. Can you take my 90 rows of null coverage records — each with a date, group name, missing_values, and total_values — and produce a daily sum series for total_values so we can see the trend over time?"},{"title":"Missing value distribution across dataset groups","prompt":"I want to understand the spread of missing values in my dataset. Here are 60 rows with row IDs, dates, group labels, missing_values, and total_values — please compute the numeric distribution for missing_values so I can see the shape of missingness across the records."}],"resultDescription":"Returns two analytical reports computed locally from the supplied rows: (1) a numeric distribution of the selected field (missing_values or total_values) showing frequency/spread, and (2) a daily sum time series aggregating the field by date — covering up to 200 input rows with no external lookups or live data.","failureModes":["Input array is empty (minItems:1 violated) — request rejected","More than 200 rows supplied (maxItems:200 violated) — request rejected","Date field does not match YYYY-MM-DD pattern — validation error","missing_values or total_values outside allowed range (±1,000,000,000,000) — validation error","Invalid field enum value (must be 'missing_values' or 'total_values') — rejected","row_id missing or empty string — schema validation failure"],"whenToPreferThis":"Choose this endpoint when you have raw null coverage records (missing_values and total_values per row with dates and group labels) and need two ready-made statistical reports — a numeric distribution and a daily sum time series — computed locally without any external data lookups, predictions, or professional assessments. It is ideal for data quality audits, completeness monitoring, and batch summaries of up to 200 records at a low flat cost of $0.01 USDC for both reports.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-16T06:55:19.607Z","isFirstParty":false,"canonicalSlug":"null-coverage-analytics-numeric-distribution-daily-sum-series-8e43b7c7"}