{"uid":"cap_m89ng6AmDzhWl8NLaVjgl","slug":"time-series-completeness-record-quality-audit-exact-row-deduplication-b867d120","name":"Time Series Completeness — Record Quality Audit + Exact Row Deduplication + Duplicate Key Report","description":"Time series completeness — Record quality audit + Exact row deduplication + Duplicate key report: Record quality audit + Exact row deduplication + Duplicate key report for supplied time series completeness records (observed_points, expected_points). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-analytics-16-209?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}}},"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_2qfXFYbSFuuqwieqcnkHl","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":"Audits up to 200 time series completeness records for quality issues, removes exact duplicate rows, and generates a duplicate key report — three analytical reports in one call.","exampleAgentPrompt":"Can you audit these time series completeness records for quality issues, remove exact duplicate rows, and give me a duplicate key report? I have up to 50 rows with fields like row_id, dataset_group, date, observed_points, and expected_points.","exampleUseCases":[{"title":"Data pipeline completeness audit","prompt":"I have a list of daily completeness records for my data pipelines — each row has a row_id, dataset_group, date, observed_points, and expected_points. Can you run a quality audit on them, deduplicate any exact duplicate rows, and flag any duplicate keys?"},{"title":"Time series data quality validation","prompt":"Before I load these time series completeness records into our warehouse, can you check them for quality issues, find and remove exact duplicates, and produce a duplicate key report? There are about 120 rows with observed and expected point counts per date and group."},{"title":"Dataset group deduplication report","prompt":"I've got some completeness tracking rows for two dataset groups — group-a and group-b — across several dates. Can you audit the record quality, deduplicate any exact matches, and tell me if there are any duplicate keys across the row_ids?"}],"resultDescription":"Returns three independent analytical reports: (1) a record quality audit highlighting data issues in the supplied completeness rows, (2) an exact row deduplication result removing fully duplicated records, and (3) a duplicate key report identifying rows sharing the same key fields — all computed locally without external lookups.","failureModes":["More than 200 rows submitted — request will be rejected or truncated","Missing required fields (row_id, date, observed_points, expected_points) cause validation errors","Invalid date format (must match YYYY-MM-DD pattern) causes schema rejection","observed_points or expected_points values outside allowed numeric range cause errors","Empty rows array (minItems: 1 not met) returns an error"],"whenToPreferThis":"Choose this endpoint when you need three bundled data quality operations — record auditing, exact deduplication, and duplicate key detection — on time series completeness data (observed vs expected points) in a single cheap call ($0.01 USDC). Best for datasets up to 200 rows where you want offline/local analytical results without any live external lookups or predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T12:38:05.858Z","isFirstParty":false,"canonicalSlug":"time-series-completeness-record-quality-audit-exact-row-deduplication-b867d120"}