{"uid":"cap_EKeFl-uF2xO1wmj7X4TGi","slug":"time-series-completeness-record-quality-audit-exact-row-deduplication-3bbb7a27","name":"Time Series Completeness — Record Quality Audit + Exact Row Deduplication + Daily Sum Series","description":"Time series completeness — Record quality audit + Exact row deduplication + Daily sum series: Record quality audit + Exact row deduplication + Daily sum series 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-16-215?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_KQCGbbawuULYYzkz1o5-V","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 a daily sum series, for up to 200 rows.","exampleAgentPrompt":"Can you run a record quality audit, exact row deduplication, and daily sum series on these completeness records? I have up to 50 rows with date, dataset_group, observed_points, and expected_points — field to summarize is observed_points.","exampleUseCases":[{"title":"Data pipeline completeness health check","prompt":"I have 120 rows of time series completeness data with observed_points and expected_points per day and dataset group — can you run a quality audit, deduplicate exact rows, and compute a daily sum series on the observed_points field so I can spot gaps in my pipeline?"},{"title":"Deduplicating sensor dataset records","prompt":"My sensor completeness log has duplicate entries — please run the record quality audit and exact row deduplication on these 80 rows (date, row_id, dataset_group, observed_points, expected_points) and also give me the daily sum for expected_points."},{"title":"Daily aggregation report for monitoring dashboard","prompt":"Can you analyze these 30 completeness tracking records across two dataset groups and give me the daily sum series for observed_points, plus flag any quality issues or duplicate rows?"}],"resultDescription":"Returns three independent analytical reports: (1) a record quality audit highlighting issues such as nulls or malformed values, (2) an exact row deduplication report identifying and removing identical rows, and (3) a daily sum series aggregating the chosen field (observed_points or expected_points) by date — all computed locally without external lookups.","failureModes":["More than 200 rows submitted — exceeds maxItems limit","Missing required fields (row_id, date, observed_points, expected_points) — validation error","Date field not matching YYYY-MM-DD pattern — schema validation failure","Invalid field enum value (not observed_points or expected_points) — rejected input","Empty rows array — minItems constraint violation","Numeric values outside allowed range — schema rejection"],"whenToPreferThis":"Choose this endpoint when you need three combined analytical passes — quality audit, deduplication, and daily aggregation — on a batch of up to 200 time series completeness records in a single low-cost call. It is ideal for data pipeline monitoring, completeness tracking dashboards, or pre-processing data quality checks where no external lookup or prediction is needed.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T12:38:50.731Z","isFirstParty":false,"canonicalSlug":"time-series-completeness-record-quality-audit-exact-row-deduplication-3bbb7a27"}