{"uid":"cap_hZcObEoV81b202n_03p0I","slug":"null-coverage-analytics-duplicate-key-report-daily-sum-series-d9fda5b6","name":"Null Coverage Analytics: Duplicate Key Report + Daily Sum Series","description":"Null coverage — Duplicate key report + Daily sum series: Duplicate key report + 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-03-060?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_iUj8wWWuKj2ZqUMVhTYEF","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 user-supplied null coverage records (missing_values, total_values) to produce a duplicate key report and a daily sum series, using local analytical engines with no external lookups.","exampleAgentPrompt":"I have up to 200 rows of null coverage data with row IDs, dataset groups, dates, missing_values, and total_values — can you run a duplicate key report and a daily sum series on the missing_values field for me?","exampleUseCases":[{"title":"Auditing data pipeline null coverage","prompt":"I've got a batch of null coverage records from my ETL pipeline with row IDs, groups, and dates — run a duplicate key report and daily sum series on the missing_values field so I can spot any key conflicts and see how missing values trend day by day."},{"title":"Data quality check before model training","prompt":"Before I train my model, I need to validate my dataset: here are 150 rows with row_id, dataset_group, date, missing_values, and total_values — please give me a duplicate key report and a daily sum series on total_values to catch any issues."},{"title":"Monitoring coverage gaps across dataset groups","prompt":"Can you analyze these coverage records across my dataset groups and dates — I need both a duplicate key detection report and a daily aggregated sum of missing_values to understand where gaps are clustering over time?"}],"resultDescription":"Returns two independent analytical reports: (1) a duplicate key report identifying rows sharing the same row_id, and (2) a daily sum series aggregating the selected field (missing_values or total_values) by date. Results cover up to 200 input rows and are computed entirely from the supplied data with no external data sources.","failureModes":["Input array is empty or exceeds 200 rows — validation error returned","Missing required fields (row_id, date, missing_values, total_values) on any row — schema validation failure","Date field does not match YYYY-MM-DD pattern — rejected with pattern validation error","Numeric fields out of allowed range (±1,000,000,000,000) — validation error","Invalid field enum value (not missing_values or total_values) — rejected","Payment not processed (x402 protocol failure) — request not fulfilled"],"whenToPreferThis":"Choose this endpoint when you have up to 200 rows of null coverage data and need both duplicate key detection and a daily sum time-series in a single low-cost call ($0.01 USDC). It is ideal for data quality audits, pre-processing validation, and coverage gap analysis where no external lookup or prediction is needed — all computation is local and deterministic.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-18T00:57:53.150Z","isFirstParty":false,"canonicalSlug":"null-coverage-analytics-duplicate-key-report-daily-sum-series-d9fda5b6"}