{"uid":"cap_g8A0ZrabU5G2irHkEHarL","slug":"time-series-completeness-grouped-numeric-summary-two-measure-e1dc87b5","name":"Time Series Completeness — Grouped Numeric Summary + Two-Measure Correlation","description":"Time series completeness — Grouped numeric summary + Two-measure correlation: Grouped numeric summary + Two-measure correlation 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-16-095?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_Ra9ffzBssCsgoojrO8cr9","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 supplied time series completeness records (observed_points, expected_points) by producing a grouped numeric summary and a two-measure correlation report for up to 200 rows.","exampleAgentPrompt":"I have up to 200 rows of time series completeness records — each with a date, dataset group, observed_points, and expected_points — can you run a grouped numeric summary and a two-measure correlation report on them?","exampleUseCases":[{"title":"Data pipeline completeness audit","prompt":"I've got daily completeness records for two pipeline groups, group-a and group-b, from October 2026 — each row has observed and expected data points. Can you give me a grouped numeric summary and a correlation between observed_points and expected_points across all 4 rows?"},{"title":"Monitoring dashboard stats for sensor feeds","prompt":"We track sensor feed completeness every day, and I have 120 rows with date, sensor_group, observed_points, and expected_points. Run a grouped numeric summary and a two-measure correlation on this data so I can see which groups are falling behind."},{"title":"Weekly data quality review across teams","prompt":"Each team logs their observed vs expected data points daily — I have 80 rows grouped by team name, with dates from last month. Can you compute a grouped numeric summary and a correlation report for observed_points vs expected_points so we can review completeness at our weekly meeting?"}],"resultDescription":"Returns two independent analytical reports: (1) a grouped numeric summary breaking down observed_points or expected_points statistics by dataset_group, and (2) a two-measure correlation between observed_points and expected_points across the supplied rows. Both reports are computed locally on the submitted data with no external lookups.","failureModes":["Input rows array is empty or missing — returns validation error","More than 200 rows submitted — rejected by maxItems constraint","Row missing required fields (row_id, dataset_group, date, observed_points, expected_points) — row-level validation error","Date field does not match YYYY-MM-DD pattern — schema validation failure","Numeric fields outside allowed range (-1000000000000 to 1000000000000) — validation error","All observed_points or expected_points are null — correlation computation may be undefined or return NaN"],"whenToPreferThis":"Choose this endpoint when you have up to 200 rows of time series completeness data (observed vs expected point counts) and need both grouped descriptive statistics and a two-measure correlation in a single low-cost call ($0.01 USDC). It is ideal for lightweight, self-contained statistical analysis on supplied data without needing live lookups, predictions, or external integrations.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T12:36:03.372Z","isFirstParty":false,"canonicalSlug":"time-series-completeness-grouped-numeric-summary-two-measure-e1dc87b5"}