{"uid":"cap_CG5Gbz0zpeVjXjPXWCznI","slug":"time-series-completeness-analyzer-record-quality-audit-exact-4aaa5022","name":"Time Series Completeness Analyzer — Record Quality Audit, Exact Deduplication & Base-100 Series","description":"Time series completeness — Record quality audit + Exact row deduplication + Base-100 series: Record quality audit + Exact row deduplication + Base-100 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-16-218?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"},"base_index":{"type":"integer","default":0,"maximum":199,"minimum":0}}},"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_8l5poGa9RYY2igUYmQHk2","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 analytical reports on time series completeness data: a record quality audit, exact row deduplication, and a base-100 indexed series — all from supplied rows, up to 200 records.","exampleAgentPrompt":"Can you run a quality audit, exact deduplication check, and base-100 series on my time series completeness data? I have 4 rows with dataset groups 'group-a' and 'group-b', dates from 2026-10-01 to 2026-10-04, observed_points of 10, 20, 15, 30 and expected_points of 1, 2, 3, 4 — index the base-100 series on the observed_points field starting from row 0.","exampleUseCases":[{"title":"Daily sensor completeness audit","prompt":"I have daily sensor readings with observed and expected data points for two sensor groups from 2025-01-01 to 2025-06-30 — about 180 rows total. Can you audit those records for quality issues, remove any exact duplicates, and give me a base-100 series on the observed_points field starting from row index 0?"},{"title":"Multi-dataset deduplication check","prompt":"We have time series completeness records across three dataset groups and I suspect there are exact duplicate rows. Can you run the deduplication report plus a quality audit on my 120 rows? Also generate a base-100 series on expected_points starting from row 0."},{"title":"Base-100 rebase for executive dashboard","prompt":"I need to rebase my time series completeness metrics to 100 starting at row index 10 for a dashboard — can you run the base-100 index on the observed_points field along with the quality audit and dedup check on my 50 rows?"}],"resultDescription":"Returns three independent analytical reports: (1) a record quality audit flagging malformed, null, or suspicious rows; (2) an exact row deduplication report identifying and removing repeated records; and (3) a base-100 indexed series for the selected field starting from the specified row index — all computed locally from the supplied rows.","failureModes":["Exceeds 200-row limit — request rejected","Missing required fields (row_id, date, observed_points, expected_points) — validation error","Invalid date format (must match YYYY-MM-DD pattern) — schema validation failure","base_index out of range (must be 0–199 and within supplied row count) — error","Null values in observed_points or expected_points may affect completeness calculations","field enum value must be exactly 'observed_points' or 'expected_points' — other values rejected"],"whenToPreferThis":"Choose this endpoint when you need three combined analytical operations — quality audit, deduplication, and base-100 indexing — on time series completeness data (observed vs expected points) in a single call for up to 200 rows. It is a pure local computation endpoint with no external lookups, making it fast, deterministic, and suitable for data pipelines that need repeatable results. Prefer it over separate single-purpose tools when you want all three reports in one affordable call ($0.01 USDC).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T12:38:55.862Z","isFirstParty":false,"canonicalSlug":"time-series-completeness-analyzer-record-quality-audit-exact-4aaa5022"}