{"uid":"cap_ikr7ND88Af5687ck7VK2b","slug":"null-coverage-analytics-daily-sum-series-adjacent-row-changes-b332fe89","name":"Null Coverage Analytics — Daily Sum Series & Adjacent Row Changes","description":"Null coverage — Daily sum series + Adjacent row changes: Daily sum series + Adjacent row changes 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-03-137?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_gL2JRm6pOWyJIQRxjKYKm","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 two local analytical reports (daily sum series and adjacent row changes) on user-supplied null coverage records (missing_values, total_values) for up to 200 rows.","exampleAgentPrompt":"I have up to 200 rows of null coverage data with date, dataset_group, missing_values, and total_values — can you run both a daily sum series and an adjacent row changes report on the missing_values field for me?","exampleUseCases":[{"title":"Daily missing-value audit for a data pipeline","prompt":"I've got a list of daily pipeline records with missing_values and total_values for each date — can you generate a daily sum series and show me how missing_values change between consecutive rows so I can spot where data gaps spiked?"},{"title":"Dataset completeness trend review","prompt":"I need to analyze null coverage across two dataset groups over October — here are 50 rows with date, dataset_group, missing_values, and total_values. Please run the daily sum series and adjacent row changes report on the total_values field."},{"title":"Pre-release data quality check","prompt":"Before we ship this dataset, can you compute the daily aggregated totals and the row-to-row differences in missing_values for these 120 records so we can confirm there are no sudden jumps in null coverage?"}],"resultDescription":"Returns two analytical reports computed locally: (1) a daily sum series aggregating the selected field (missing_values or total_values) by date, and (2) adjacent row changes showing differences between consecutive rows — all derived from the supplied data, with no external lookups.","failureModes":["More than 200 rows submitted — request rejected due to maxItems constraint","Missing required fields (row_id, date, dataset_group, missing_values, or total_values) — validation error","Date not in YYYY-MM-DD format — pattern validation failure","Null or out-of-range numeric values exceeding ±1,000,000,000,000 — schema rejection","Invalid field enum value (must be 'missing_values' or 'total_values') — parameter error"],"whenToPreferThis":"Choose this endpoint when you have user-supplied null coverage records (missing_values, total_values) organized by date and need two specific analytical outputs — daily sum series and adjacent row changes — computed entirely from your data without any external lookup, prediction, or live data dependency. Ideal for data quality audits, pipeline monitoring, and completeness trend analysis on batches up to 200 rows at very low cost ($0.01 USDC for both reports).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-18T00:41:21.684Z","isFirstParty":false,"canonicalSlug":"null-coverage-analytics-daily-sum-series-adjacent-row-changes-b332fe89"}