{"uid":"cap_C4yLTKWzKxmW3vDloM2pg","slug":"time-series-completeness-grouped-numeric-summary-keyed-dataset-0f8b461b","name":"Time Series Completeness — Grouped Numeric Summary & Keyed Dataset Comparison","description":"Time series completeness — Grouped numeric summary + Keyed dataset comparison: Grouped numeric summary + Keyed dataset comparison 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-16-098?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}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"dataset_group":{"type":"string","default":"","maxLength":80},"expected_points":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"observed_points":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","dataset_group":"group-a","expected_points":1,"observed_points":10},{"date":"2026-10-02","row_id":"row-2","dataset_group":"group-b","expected_points":2,"observed_points":20},{"date":"2026-10-03","row_id":"row-3","dataset_group":"group-a","expected_points":3,"observed_points":15},{"date":"2026-10-04","row_id":"row-4","dataset_group":"group-b","expected_points":4,"observed_points":30}],"maxItems":200,"minItems":1},"field":{"enum":["observed_points","expected_points"],"type":"string","default":"observed_points"},"other":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","observed_points","expected_points"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","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":21},{"date":"2026-10-03","row_id":"row-3","dataset_group":"group-a","expected_points":3,"observed_points":17},{"date":"2026-10-04","row_id":"row-4","dataset_group":"group-b","expected_points":4,"observed_points":33}],"maxItems":200,"minItems":0}}},"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_OniSfwqeBVtJbzVS4Llcj","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 time series completeness records by producing a grouped numeric summary and a keyed dataset comparison report for observed vs. expected data points across up to 200 rows.","exampleAgentPrompt":"I have two sets of time series completeness records — each with row_id, dataset_group, date, observed_points, and expected_points — up to 100 rows each. Can you run both a grouped numeric summary and a keyed comparison between the two datasets using the observed_points field?","exampleUseCases":[{"title":"Daily pipeline completeness audit by group","prompt":"I have 150 rows of daily sensor completeness data with observed and expected readings, grouped by region. Can you give me a grouped numeric summary and compare it against last week's snapshot using the observed_points field?"},{"title":"Comparing two ETL run outputs","prompt":"We ran two ETL jobs and I want to see where their completeness records differ — I have both datasets with row IDs, groups, dates, and observed vs expected points. Run a grouped summary and a keyed comparison between them using the expected_points field."},{"title":"Detecting coverage gaps across data groups","prompt":"I've got about 80 rows of time series completeness records split across four dataset groups. Can you summarize the observed_points numerically by group and compare the two dataset versions to highlight any discrepancies?"}],"resultDescription":"Returns two independent analytical reports: (1) a grouped numeric summary aggregating observed_points or expected_points statistics (e.g. count, mean, min, max) broken down by dataset_group, and (2) a keyed dataset comparison that identifies row-level differences between the primary and comparison datasets, all computed locally without external lookups.","failureModes":["Input array exceeds 200 rows — request will be rejected or truncated","Missing required fields (row_id, dataset_group, date, observed_points, expected_points) cause validation errors","Date strings not matching YYYY-MM-DD pattern will fail schema validation","Null numeric values may affect aggregation accuracy in grouped summary","Mismatched row_ids between primary and comparison datasets may reduce keyed comparison coverage","Payment failure via x402 protocol prevents execution"],"whenToPreferThis":"Choose this endpoint when you need both a grouped statistical summary AND a side-by-side keyed comparison of two time series completeness datasets in a single API call at minimal cost ($0.01 USDC for both reports). It is ideal for data engineers validating ETL pipeline outputs, monitoring data coverage by group over time, or comparing two dataset snapshots for drift — especially when you have up to 200 pre-aggregated completeness records already structured with observed and expected point counts.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T12:38:44.520Z","isFirstParty":false,"canonicalSlug":"time-series-completeness-grouped-numeric-summary-keyed-dataset-0f8b461b"}