{"uid":"cap_nmZjDMWwEiHW56M3zHrjg","slug":"time-series-completeness-analytics-record-quality-audit-deduplication-4e4dcaaa","name":"Time Series Completeness Analytics — Record Quality Audit, Deduplication & Numeric Distribution","description":"Time series completeness — Record quality audit + Exact row deduplication + Numeric distribution: Record quality audit + Exact row deduplication + Numeric distribution for supplied time series completeness records (observed_points, expected_points). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-analytics-16-210?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","observed_points","expected_points"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"dataset_group":{"type":"string","default":"","maxLength":80},"expected_points":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"observed_points":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","dataset_group":"group-a","expected_points":1,"observed_points":10},{"date":"2026-10-02","row_id":"row-2","dataset_group":"group-b","expected_points":2,"observed_points":20},{"date":"2026-10-03","row_id":"row-3","dataset_group":"group-a","expected_points":3,"observed_points":15},{"date":"2026-10-04","row_id":"row-4","dataset_group":"group-b","expected_points":4,"observed_points":30}],"maxItems":200,"minItems":1},"field":{"enum":["observed_points","expected_points"],"type":"string","default":"observed_points"}}},"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_1h20RJX9zPi3adqG1jCi5","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":"Runs three local analytical reports on time series completeness records: a record quality audit, exact row deduplication, and numeric distribution analysis for observed_points and expected_points fields.","exampleAgentPrompt":"Can you run a quality audit, deduplication check, and numeric distribution analysis on these time series completeness records — I have up to 50 rows with observed_points and expected_points per date and dataset group, and I want all three reports at once?","exampleUseCases":[{"title":"Data pipeline completeness health check","prompt":"I have 80 rows of daily completeness records for my ETL pipeline — each row has a date, a dataset group name, observed_points, and expected_points. Can you run the quality audit, deduplication, and numeric distribution reports on them so I can see where the gaps and anomalies are?"},{"title":"Detecting duplicate completeness entries","prompt":"My monitoring system has been logging completeness records and I suspect there are exact duplicate rows in the last 3 months of data. Can you run the deduplication report on these 120 rows, along with the quality audit and distribution analysis for the observed_points field?"},{"title":"Statistical profiling for completeness QA review","prompt":"We're doing a QA review of our data completeness logs — about 150 rows with observed_points and expected_points across several dataset groups. Can you give me the record quality audit, exact row deduplication check, and a numeric distribution breakdown for the expected_points field?"}],"resultDescription":"Returns three independent analytical reports: (1) a record quality audit flagging null values, malformed fields, and data integrity issues; (2) an exact row deduplication report identifying duplicate records; and (3) a numeric distribution summary (e.g. min, max, mean, percentiles) for the selected numeric field (observed_points or expected_points). All analysis is performed locally on the supplied rows with no external lookups.","failureModes":["Exceeding 200 rows returns a validation error","Missing required fields (row_id, date, observed_points, expected_points) cause schema rejection","Malformed date strings not matching YYYY-MM-DD pattern are rejected","Null numeric values are handled but may affect distribution statistics","Empty rows array is rejected (minItems: 1)"],"whenToPreferThis":"Choose this endpoint when you need three bundled analytical reports — quality audit, deduplication, and numeric distribution — on a small-to-medium batch of time series completeness records (up to 200 rows) in a single $0.01 call. Ideal when you want offline, local analysis with no external lookups or side effects, and when your data involves observed vs. expected point counts across dates and dataset groups.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T12:38:28.974Z","isFirstParty":false,"canonicalSlug":"time-series-completeness-analytics-record-quality-audit-deduplication-4e4dcaaa"}