{"uid":"cap_XmnQC214OlRrA9P67G3Yf","slug":"time-series-completeness-analytics-record-quality-audit-string-6b40ffa6","name":"Time Series Completeness Analytics — Record Quality Audit + String Normalisation + Trailing Mean","description":"Time series completeness — Record quality audit + String normalisation + Trailing mean series: Record quality audit + String normalisation + Trailing mean 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-16-199?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"},"window":{"type":"integer","default":2,"maximum":200,"minimum":2}}},"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_teJUhivWG59c5itTSwsLF","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 (record quality audit, string normalisation, and trailing mean series) on up to 200 rows of time series completeness data with observed_points and expected_points fields.","exampleAgentPrompt":"Run a record quality audit, string normalisation, and trailing mean series (window of 3) on my time series completeness data for these rows: row-1, group-a, 2026-10-01, observed=10, expected=1; row-2, group-b, 2026-10-02, observed=20, expected=2 — use observed_points as the target field.","exampleUseCases":[{"title":"Daily completeness audit across pipeline groups","prompt":"I have 50 rows of daily completeness records for two pipeline groups with observed_points and expected_points — can you run a record quality audit, string normalisation, and trailing mean with a window of 7 on the observed_points field to check for data quality issues and spot trends?"},{"title":"Rolling mean for data ingestion monitoring","prompt":"Here are 100 rows of time series completeness data for my ingestion pipeline, each with a date, dataset_group, observed_points, and expected_points — please compute a trailing mean series over expected_points with a window of 5, along with a quality audit and string normalisation report."},{"title":"Completeness anomaly check across dataset groups","prompt":"Can you audit these 30 completeness records across my sensor dataset groups — dates from 2025-01-01 to 2025-01-30, with observed_points and expected_points per day — and give me a quality audit, normalised string report, and a trailing mean on observed_points using a window of 4?"}],"resultDescription":"Returns three analytical reports for the supplied rows: (1) a record quality audit flagging malformed or problematic records, (2) a string normalisation report standardising text fields like dataset_group, and (3) a trailing mean series computed over the selected numeric field (observed_points or expected_points) using the specified window size. All processing is local with no external lookups.","failureModes":["Fewer than 1 row or more than 200 rows submitted — request rejected","Invalid date format (not YYYY-MM-DD) on any row — validation error","Missing required fields (row_id, date, observed_points, expected_points) — schema error","Window size less than 2 or greater than 200 — parameter error","Non-numeric values in observed_points or expected_points where numbers are required — type error","Payment not included or insufficient — 402 Payment Required"],"whenToPreferThis":"Choose this endpoint when you need to run three combined analytical operations — quality audit, string normalisation, and rolling mean — on a batch of time series completeness records (up to 200 rows) in a single low-cost call. Ideal when you have observed_points and expected_points per date and dataset_group and want to validate data integrity while also computing a trailing mean trend, without needing any live data lookup or external prediction.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-28T19:42:25.112Z","isFirstParty":false,"canonicalSlug":"time-series-completeness-analytics-record-quality-audit-string-6b40ffa6"}