{"uid":"cap_tmaS3Tbx6_Vh_zIdAX7AZ","slug":"time-series-completeness-analytics-quality-audit-deduplication-703c68dc","name":"Time Series Completeness Analytics — Quality Audit, Deduplication & Grouped Summary","description":"Time series completeness — Record quality audit + Exact row deduplication + Grouped numeric summary: Record quality audit + Exact row deduplication + Grouped numeric summary 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-16-211?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_exyfX-R_PFRkseJFvUiff","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 independent local analytical reports on time series completeness records: record quality audit, exact row deduplication, and grouped numeric summary for observed vs expected data points.","exampleAgentPrompt":"Can you run the record quality audit, exact row deduplication, and grouped numeric summary on my time series completeness data? Here are up to 200 rows with row_id, dataset_group, date, observed_points, and expected_points — I want to analyze the observed_points field.","exampleUseCases":[{"title":"Data pipeline completeness validation","prompt":"I have a batch of time series completeness records from our data pipeline — each row has a date, dataset group, and how many data points were observed vs expected. Can you audit the record quality, flag any exact duplicate rows, and give me a grouped numeric summary of observed_points across dataset groups?"},{"title":"Pre-processing deduplication check","prompt":"Before I load this dataset into our warehouse, I need to deduplicate these time series rows and run a quality audit. The records have row IDs, dates, dataset groups, and observed vs expected point counts — up to 150 rows. Can you run all three reports using the expected_points field for the numeric summary?"},{"title":"Daily completeness reporting by group","prompt":"I'm tracking data completeness across several dataset groups daily. Can you take these time series records — with observed_points and expected_points per date — audit their quality, remove any duplicate rows, and give me a grouped numeric summary so I can see which groups are falling short?"}],"resultDescription":"Returns three independent reports: (1) a record quality audit flagging nulls, malformed dates, and data issues; (2) an exact row deduplication report identifying and removing duplicate records; and (3) a grouped numeric summary of the selected field (observed_points or expected_points) aggregated by dataset_group. All analysis is performed locally on the supplied data with no external lookups.","failureModes":["Exceeding 200 rows returns an error — batch must be split","Missing required fields (row_id, date, observed_points, expected_points) cause validation failure","Dates not matching YYYY-MM-DD pattern are rejected","Numeric values outside ±1,000,000,000,000 range are invalid","Empty rows array (minItems:1 not met) causes request failure","Invalid field enum value (not 'observed_points' or 'expected_points') rejected"],"whenToPreferThis":"Choose this endpoint when you need three simultaneous analytical passes — quality audit, deduplication, and grouped summary — on time series completeness data (observed vs expected points) in a single $0.01 call. Ideal for pre-ingestion validation pipelines, data quality monitoring workflows, or any scenario where you want to audit up to 200 rows of date-grouped completeness records without external API calls or live lookups.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T12:46:55.091Z","isFirstParty":false,"canonicalSlug":"time-series-completeness-analytics-quality-audit-deduplication-703c68dc"}