{"uid":"cap_Y5WbOkqE5Z7Jx-7JY0CPn","slug":"time-series-completeness-record-quality-audit-trailing-mean-series-3215bc0c","name":"Time Series Completeness — Record Quality Audit + Trailing Mean Series","description":"Time series completeness — Record quality audit + Trailing mean series: Record quality audit + Trailing mean series for supplied time series completeness records (observed_points, expected_points). 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-16-010?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_Q12GlcuAGhyLS3eqhjxo6","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 time series completeness records (observed vs expected points) and produces two reports: a record quality audit and a trailing mean series, for up to 200 rows.","exampleAgentPrompt":"Run a record quality audit and a trailing mean series on my time series completeness data — I have 4 rows for group-a and group-b from 2026-10-01 to 2026-10-04 with observed_points values of 10, 20, 15, 30 against expected_points of 1, 2, 3, 4, using a window of 2 and the observed_points field.","exampleUseCases":[{"title":"Daily pipeline completeness audit","prompt":"I have 30 days of pipeline data with observed and expected point counts per dataset group — can you run a record quality audit and a trailing mean series with a window of 7 on the observed_points field to spot completeness issues?"},{"title":"Sensor coverage gap detection","prompt":"Audit the quality of these 50 sensor coverage records and give me a trailing mean with a window of 5 on expected_points — the rows span from 2025-01-01 to 2025-02-19 across two sensor groups."},{"title":"Data ingestion monitoring report","prompt":"I want to check the record quality and compute a rolling average completeness trend (window of 10) for our data ingestion logs — here are 100 rows with observed and expected point counts by date and ingestion group."}],"resultDescription":"Returns two independent analytical reports for the submitted rows: (1) a record quality audit flagging anomalies or completeness issues per row based on observed vs expected points, and (2) a trailing mean series computed over the selected field (observed_points or expected_points) using the specified window size. No external lookups or predictions are made.","failureModes":["Fewer than 1 or more than 200 rows submitted — validation error","Missing required fields (row_id, date, observed_points, expected_points) — schema validation failure","Invalid date format (not YYYY-MM-DD) — pattern validation error","Window size outside allowed range (2–200) — validation error","Null values in numeric fields may affect trailing mean computation","Payment failure via x402 protocol — request not processed"],"whenToPreferThis":"Choose this endpoint when you need two bundled analytical outputs — a data quality audit and a trailing mean series — on time series completeness data (observed vs expected point counts) in a single low-cost call. It is ideal for batch offline analysis of up to 200 rows without requiring external data sources or live lookups. Prefer it over single-report endpoints when you need both quality auditing and trend smoothing in one request for the same dataset.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T12:36:54.122Z","isFirstParty":false,"canonicalSlug":"time-series-completeness-record-quality-audit-trailing-mean-series-3215bc0c"}