{"uid":"cap_GrB1Eh0x2Ygcxr-nlqDQu","slug":"time-series-completeness-daily-sum-series-keyed-dataset-comparison-bb95af45","name":"Time Series Completeness — Daily Sum Series + Keyed Dataset Comparison","description":"Time series completeness — Daily sum series + Keyed dataset comparison: Daily sum series + 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-16-144?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_KAzIeYaEVqmS_PZbhDRad","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 computing a daily sum series and comparing two keyed datasets across up to 200 rows, returning two independent analytical reports.","exampleAgentPrompt":"I have two sets of daily time series records — rows with row_id, dataset_group, date, observed_points, and expected_points — and I need both a daily sum series on observed_points and a keyed comparison between the two datasets to spot completeness gaps. Can you run that analysis on up to 200 rows and give me both reports?","exampleUseCases":[{"title":"Pipeline data gap audit","prompt":"I'm monitoring a data ingestion pipeline and have daily completeness records for two groups — 'group-a' and 'group-b' — each row has an observed_points and expected_points count per date. Can you compute the daily sum series on observed_points and compare the two dataset groups to show me where we're falling short of expectations?"},{"title":"A/B dataset completeness check","prompt":"I have two versions of our sensor time series dataset — a baseline and a recent update — each with rows tagged by row_id, dataset_group, and date, with observed and expected point counts. Please run both the daily sum aggregation and the keyed dataset comparison so I can see which dates and groups have completeness issues."},{"title":"Historical completeness trend review","prompt":"We collected daily observed_points and expected_points for our event tracking system over the past few months across multiple dataset groups. I want to see a daily sum series on observed_points and a comparison between two of our dataset snapshots to identify any completeness regressions."}],"resultDescription":"Returns two independent analytical reports: (1) a daily sum series aggregating the selected field (observed_points or expected_points) by date across all rows, and (2) a keyed dataset comparison showing differences between the two supplied datasets (rows and other) matched by row_id/dataset_group/date. Both reports are computed locally from the supplied data with no external lookups.","failureModes":["Input array contains more than 200 rows — request rejected","Missing required fields (row_id, dataset_group, date, observed_points, expected_points) on any row","Date strings not matching YYYY-MM-DD pattern — schema validation error","Numeric values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000)","Empty rows array (minItems: 1 not satisfied)","Payment not processed — x402 payment required before response is returned"],"whenToPreferThis":"Choose this endpoint when you have structured time series completeness records with observed vs expected point counts and need both a daily aggregation report and a side-by-side keyed comparison between two datasets in a single low-cost call. Ideal for data quality audits, pipeline monitoring, and completeness gap detection on up to 200 rows without needing live data lookups or external integrations.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T12:39:04.268Z","isFirstParty":false,"canonicalSlug":"time-series-completeness-daily-sum-series-keyed-dataset-comparison-bb95af45"}