{"uid":"cap_PJoZZIfk-98rAlxZM6NQV","slug":"time-series-completeness-duplicate-key-report-grouped-numeric-summary-df69be79","name":"Time Series Completeness — Duplicate Key Report + Grouped Numeric Summary","description":"Time series completeness — Duplicate key report + Grouped numeric summary: Duplicate key report + Grouped numeric summary 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-16-056?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_DM-KdBhujdv4v77jmGAet","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 up to 200 time series completeness records to produce a duplicate key report and a grouped numeric summary of observed vs. expected data points.","exampleAgentPrompt":"Check my time series completeness records for duplicate row IDs and give me a grouped numeric summary of observed_points — here are up to 200 rows with row_id, dataset_group, date, observed_points, and expected_points.","exampleUseCases":[{"title":"Daily pipeline completeness audit","prompt":"I have 150 daily completeness records for two dataset groups — each with a row_id, date, observed_points, and expected_points. Can you find any duplicate row IDs and give me a grouped numeric summary of observed_points by dataset_group?"},{"title":"Detecting repeated keys in data quality logs","prompt":"Here are my time series completeness logs with fields row_id, dataset_group, date, observed_points, and expected_points — can you run a duplicate key report and a grouped summary of expected_points to help me spot data ingestion issues?"},{"title":"Comparing completeness across sensor groups","prompt":"I've got completeness data for three sensor groups across the past month — up to 200 rows with row_id, date, observed_points, and expected_points. Please check for duplicate keys and summarize the observed_points statistics grouped by dataset_group."}],"resultDescription":"Returns two independent analytical reports: (1) a duplicate key report identifying any repeated row_id values within the submitted records, and (2) a grouped numeric summary of the selected field (observed_points or expected_points) aggregated by dataset_group — both computed locally with no external lookups.","failureModes":["Fewer than 1 row submitted — minimum item count not met","More than 200 rows submitted — exceeds maxItems limit","Missing required fields (row_id, dataset_group, date, observed_points, or expected_points) on any row","Date field does not match YYYY-MM-DD format","Numeric values outside the allowed range (-1e12 to 1e12)","Invalid field enum value supplied (must be 'observed_points' or 'expected_points')","Payment of 0.01 USDC not provided — x402 payment required"],"whenToPreferThis":"Choose this endpoint when you need two complementary data quality reports — duplicate key detection and grouped numeric statistics — on time series completeness data (observed vs. expected points) in a single low-cost call. It is ideal for data engineers auditing pipeline completeness logs by group, without needing any external data enrichment, predictions, or live lookups.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T12:37:54.997Z","isFirstParty":false,"canonicalSlug":"time-series-completeness-duplicate-key-report-grouped-numeric-summary-df69be79"}