{"uid":"cap_ebeWY40iWqLxYQiaywo6T","slug":"null-coverage-analyzer-category-frequencies-daily-sum-series-e53818a7","name":"Null Coverage Analyzer — Category Frequencies + Daily Sum Series","description":"Null coverage — Category frequencies + Daily sum series: Category frequencies + 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-03-102?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_guR88qiI84XKm8z4jnPPW","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":"Analyzes null coverage records (missing_values, total_values) to produce two reports: category frequency counts and a daily sum time series, for up to 200 rows.","exampleAgentPrompt":"Analyze my null coverage data — I have rows with dataset_group, date (YYYY-MM-DD), missing_values, and total_values fields — and give me both a category frequency breakdown and a daily sum series for the missing_values field. I have about 150 rows across groups 'group-a' and 'group-b' from October 2026.","exampleUseCases":[{"title":"Data quality audit by dataset group","prompt":"I need to audit null coverage across my pipeline datasets. Can you take these 120 rows — each with a dataset_group, date, missing_values, and total_values — and produce a category frequency report plus a daily sum series for missing_values so I can see which groups are worst and how nulls trend over time?"},{"title":"Daily null trend analysis for monitoring","prompt":"Give me a daily sum series for total_values from my null coverage records — I have 80 rows spanning the last month, each tagged with a row_id, dataset_group, and date. I also want the category frequencies so I can see the breakdown by group."},{"title":"Completeness report for two dataset groups","prompt":"I have 50 null coverage records split between 'finance' and 'operations' groups, with daily dates and both missing_values and total_values filled in. Run both the category frequency and daily sum series reports on missing_values so I can compare completeness between the two groups."}],"resultDescription":"Returns two analytical reports computed locally from the supplied rows: (1) category frequencies showing how often each dataset_group appears, and (2) a daily sum series aggregating the selected field (missing_values or total_values) by date — all within a single API call covering up to 200 rows.","failureModes":["Missing required fields (row_id, dataset_group, date, missing_values, total_values) cause validation errors","Date strings not matching YYYY-MM-DD pattern are rejected","Submitting more than 200 rows exceeds the maxItems limit","Null or out-of-range numeric values outside ±1,000,000,000,000 may be rejected","Empty rows array (minItems:1 violated) returns an error","Invalid field enum value (anything other than 'missing_values' or 'total_values') causes rejection"],"whenToPreferThis":"Choose this endpoint when you need two complementary null-coverage reports — category frequency counts and a daily sum time series — computed in a single low-cost call ($0.01 USDC) from data you already have. It is ideal for data quality audits, pipeline monitoring, and completeness analysis where no external data lookup or prediction is needed, just local analytical computation over your own records of up to 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-16T06:53:15.778Z","isFirstParty":false,"canonicalSlug":"null-coverage-analyzer-category-frequencies-daily-sum-series-e53818a7"}