{"uid":"cap_oje04cGV_6EkVP7te1yoJ","slug":"time-series-completeness-record-quality-audit-secondary-measure-eb7346ff","name":"Time Series Completeness — Record Quality Audit + Secondary-Measure Weighted Mean","description":"Time series completeness — Record quality audit + Secondary-measure weighted mean: Record quality audit + Secondary-measure weighted mean 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-16-016?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_n5h02OU8Vhs90mzUyeA0f","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":"Performs a record quality audit and secondary-measure weighted mean analysis on up to 200 time series completeness records with observed and expected data points.","exampleAgentPrompt":"Run a record quality audit and secondary-measure weighted mean on my time series completeness data — I have 4 rows with dates 2026-10-01 through 2026-10-04 for dataset groups group-a and group-b, with observed_points of 10, 20, 15, 30 and expected_points of 1, 2, 3, 4. Use observed_points as the primary field.","exampleUseCases":[{"title":"Data pipeline completeness audit","prompt":"I have daily records from my data pipeline showing how many points we observed versus how many we expected for two groups over the past week — can you run a quality audit and weighted mean analysis on those 7 rows so I can see where completeness is falling short?"},{"title":"Multi-group time series QA check","prompt":"Audit the record quality and compute a weighted mean for these completeness records across my group-a and group-b datasets: I'll supply row IDs, dates from October 1–4, expected_points ranging 1–4, and observed_points ranging 10–30. Use expected_points as the secondary measure field."},{"title":"Sensor observation completeness review","prompt":"I need two statistical reports on my sensor network's time series completeness — a quality audit plus a weighted mean — for about 50 daily rows where I track observed readings against expected readings per sensor group. Can you run that analysis?"}],"resultDescription":"Returns two independent analytical reports: (1) a record quality audit summarizing completeness issues across the supplied rows, and (2) a secondary-measure weighted mean calculation — both computed locally on the supplied observed_points and expected_points data for up to 200 rows.","failureModes":["Exceeding 200 rows results in rejection or truncation","Missing required fields (row_id, date, observed_points, expected_points) cause validation errors","Invalid date format (not YYYY-MM-DD) triggers schema validation failure","Null values in numeric fields may affect weighted mean computation","Values outside the allowed numeric range cause schema rejection"],"whenToPreferThis":"Choose this endpoint when you need dual analytical output — a record quality audit AND a weighted mean — on time series completeness data (observed vs expected points) in a single $0.01 call. It is best suited for offline, batch-style analysis of up to 200 date-keyed rows grouped by dataset category, with no need for live data lookups or external integrations.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-28T19:42:19.990Z","isFirstParty":false,"canonicalSlug":"time-series-completeness-record-quality-audit-secondary-measure-eb7346ff"}