{"uid":"cap_Q6OBU3Wh6Rs4Pr6VbfxKS","slug":"time-series-completeness-record-quality-audit-grouped-numeric-summary-736c0f2a","name":"Time Series Completeness — Record Quality Audit & Grouped Numeric Summary","description":"Time series completeness — Record quality audit + Grouped numeric summary: Record quality audit + Grouped numeric summary 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-16-005?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_F0BFuG7Xcpy7vu_dVFKji","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 two analytical reports on supplied time series completeness data (observed vs expected points): a record quality audit and a grouped numeric summary, for up to 200 rows.","exampleAgentPrompt":"Can you audit the quality and give me a grouped numeric summary for my time series completeness data? I have rows with dataset groups like 'sensors-east' and 'sensors-west', dates from 2025-01-01 to 2025-01-04, and observed_points vs expected_points values — I want the observed_points field summarized by group.","exampleUseCases":[{"title":"IoT sensor data gap detection","prompt":"I have daily IoT sensor readings for two device groups — 'group-a' and 'group-b' — from 2025-03-01 to 2025-03-05, and I want to audit the record quality and get a grouped numeric summary of observed vs expected data points to see where we have completeness gaps. Use observed_points as the field to summarize."},{"title":"ETL pipeline completeness review","prompt":"Our ETL pipeline logs expected vs observed record counts per dataset group each day — I have 120 rows covering 'pipeline-alpha' and 'pipeline-beta' from 2025-06-01 through 2025-09-28. Can you run a quality audit on those records and give me a grouped summary of the observed_points?"},{"title":"Monitoring dashboard data validation","prompt":"I need to validate completeness for our monitoring dashboard data — I have rows tagged as 'prod' or 'staging' with daily expected_points and observed_points for October 2025. Please audit the record quality and group the expected_points values by dataset group so I can see where coverage is lowest."}],"resultDescription":"Returns two independent analytical reports: (1) a record quality audit that flags issues such as missing values, nulls, or anomalies in the supplied rows, and (2) a grouped numeric summary that aggregates the chosen field (observed_points or expected_points) by dataset_group, providing statistics like count, mean, min, max, and totals per group. Both reports are computed locally on the supplied data with no external lookups.","failureModes":["Exceeding 200 rows returns a validation error","Missing required fields (row_id, date, observed_points, expected_points) cause schema rejection","Invalid date format (non-YYYY-MM-DD) triggers a pattern validation error","Supplying zero rows results in a minItems violation","Numeric values outside the allowed range (-1,000,000,000,000 to 1,000,000,000,000) are rejected","Invalid field enum value (anything other than 'observed_points' or 'expected_points') causes a request error"],"whenToPreferThis":"Choose this endpoint when you need simultaneous record-level quality auditing AND grouped statistical summaries of time series completeness data in a single API call. It is ideal when you have structured daily records with observed and expected point counts across multiple named dataset groups and want both data validation and descriptive analytics without any external data fetching or prediction. At $0.01 USDC for both reports on up to 200 rows, it is cost-effective for batch completeness review tasks.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T12:37:13.842Z","isFirstParty":false,"canonicalSlug":"time-series-completeness-record-quality-audit-grouped-numeric-summary-736c0f2a"}