{"uid":"cap_bjAaeZBa9m8LBpOuwyah7","slug":"time-series-completeness-two-measure-correlation-date-by-category-pivot-22ccb6e3","name":"Time Series Completeness — Two-Measure Correlation + Date-by-Category Pivot","description":"Time series completeness — Two-measure correlation + Date by category pivot: Two-measure correlation + Date by category pivot 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-16-182?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_qCgrdXOVYdfOvbnJZsYVO","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 time series completeness data: a Pearson/correlation analysis between observed_points and expected_points, and a date-by-category pivot table, for up to 200 rows.","exampleAgentPrompt":"I have a time series completeness dataset with observed and expected point counts across groups like 'group-a' and 'group-b' for dates in October 2026 — can you run the two-measure correlation between observed_points and expected_points plus a date-by-category pivot on those records?","exampleUseCases":[{"title":"Data pipeline completeness audit","prompt":"I have daily observed vs expected data point counts for two pipeline groups across the past month — can you correlate observed_points with expected_points and also pivot the results by date and group so I can spot where completeness is breaking down?"},{"title":"Sensor coverage gap analysis","prompt":"Here are 150 rows of sensor reading completeness records with observed_points and expected_points per sensor group and date — run the correlation report and the date-by-category pivot on observed_points so I can see which groups are consistently underreporting."},{"title":"ETL monitoring report","prompt":"I need to review my ETL job completeness data: each row has a date, a dataset_group, observed_points, and expected_points for about 80 records — please compute the two-measure correlation and give me a pivot of observed_points by date and dataset group."}],"resultDescription":"Returns two independent analytical reports computed locally: (1) a correlation analysis between the observed_points and expected_points columns across all supplied rows, and (2) a pivot table of values (for the selected field, defaulting to observed_points) broken out by date rows and dataset_group columns. Results are based solely on the submitted data with no external lookups or predictions.","failureModes":["Exceeding 200 rows returns a validation error","Missing required fields (row_id, date, dataset_group, observed_points, expected_points) causes a schema rejection","Malformed date strings not matching YYYY-MM-DD pattern cause validation failure","Null values in both measure columns may degrade or invalidate correlation output","Submitting fewer than 1 row causes a minItems validation error","Payment not included or incorrect USDC amount results in a 402 response"],"whenToPreferThis":"Choose this endpoint when you have up to 200 rows of time series completeness records with observed and expected point counts and need both a correlation between those two measures and a date-by-category pivot in a single low-cost call ($0.01 USDC). It is ideal for lightweight, offline statistical summarization of completeness data without requiring external data sources, prediction services, or professional assessment tools.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T12:38:53.865Z","isFirstParty":false,"canonicalSlug":"time-series-completeness-two-measure-correlation-date-by-category-pivot-22ccb6e3"}