{"uid":"cap_QRgPWXD56VZzQgJep2Rrl","slug":"time-series-completeness-numeric-row-ordering-keyed-dataset-comparison-628e3f2d","name":"Time Series Completeness — Numeric Row Ordering + Keyed Dataset Comparison","description":"Time series completeness — Numeric row ordering + Keyed dataset comparison: Numeric row ordering + 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-16-123?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_nsBVXqvWQRYhCBVcUXtqV","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 performing numeric row ordering and keyed dataset comparison across up to 200 rows, producing two independent analytical reports.","exampleAgentPrompt":"Can you run a time series completeness analysis on my dataset — I have rows with date, row_id, dataset_group, observed_points, and expected_points fields, and I want both a numeric row ordering report and a keyed comparison against a second dataset, analyzing the observed_points field across up to 200 rows?","exampleUseCases":[{"title":"Data pipeline completeness audit","prompt":"I need to check completeness of my data pipeline — here are my daily rows with observed_points and expected_points for group-a and group-b from October 2026. Can you run the numeric ordering and keyed comparison reports on observed_points to see where counts fall short?"},{"title":"Comparing two dataset versions for drift","prompt":"I have two versions of the same time series dataset — the original and an updated one — each with observed_points and expected_points per date and group. Can you compare them side by side using the keyed dataset comparison so I can spot any differences between them?"},{"title":"Validating sensor data completeness by group","prompt":"I'm tracking expected vs observed sensor readings across different groups over a 30-day period. Run me both the row ordering and keyed comparison reports on expected_points so I can see which groups are consistently underreporting."}],"resultDescription":"Returns two independent analytical reports: (1) a numeric row ordering report that sequences the supplied rows by their numeric values, and (2) a keyed dataset comparison report that matches rows between the primary and secondary datasets by key fields (row_id, dataset_group, date) to highlight differences in observed_points or expected_points. All analysis is performed locally on the supplied data with no external lookups.","failureModes":["Input array exceeds 200 rows — request rejected","Missing required fields (row_id, dataset_group, date, observed_points, expected_points) — validation error","Date field does not match YYYY-MM-DD pattern — schema validation failure","No 'other' dataset provided when comparison report is expected — may return partial results","Null values in numeric fields — may affect ordering or comparison calculations","Payment of 0.01 USDC not completed — request blocked by x402 payment gate"],"whenToPreferThis":"Choose this endpoint when you need to audit or validate time series completeness data by both ordering rows numerically and comparing two keyed datasets in a single $0.01 call. It is best suited for offline batch analysis of up to 200 pre-assembled rows where no live data lookup, prediction, or external enrichment is needed. Prefer this over general analytics platforms when you want a lightweight, low-cost dual-report on observed vs expected point counts across grouped time series data.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T12:38:51.618Z","isFirstParty":false,"canonicalSlug":"time-series-completeness-numeric-row-ordering-keyed-dataset-comparison-628e3f2d"}