{"uid":"cap_8kcgJumB3m955nnEZYjlQ","slug":"time-series-completeness-record-quality-audit-exact-row-deduplication-4c31969f","name":"Time Series Completeness — Record Quality Audit + Exact Row Deduplication + Numeric Interval Filter","description":"Time series completeness — Record quality audit + Exact row deduplication + Numeric interval filter: Record quality audit + Exact row deduplication + Numeric interval filter 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-16-214?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"},"maximum":{"type":"number","default":100,"maximum":1000000000000,"minimum":-1000000000000},"minimum":{"type":"number","default":0,"maximum":1000000000000,"minimum":-1000000000000}}},"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_cqGNkvP0GYpCa9VHbho8X","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 time series completeness records (observed_points vs expected_points) for data quality, removes exact duplicate rows, and filters rows by a numeric interval — returning 3 independent analytical reports for up to 200 rows.","exampleAgentPrompt":"Can you run a record quality audit, deduplicate exact rows, and filter by observed_points between 0 and 100 on my time series completeness data — here are 4 rows: row-1, group-a, 2026-10-01, observed=10, expected=1; row-2, group-b, 2026-10-02, observed=20, expected=2; row-3, group-a, 2026-10-03, observed=15, expected=3; row-4, group-b, 2026-10-04, observed=30, expected=4?","exampleUseCases":[{"title":"Daily completeness pipeline quality gate","prompt":"I have daily completeness records for two dataset groups — run a record quality audit, deduplicate any exact duplicate rows, and filter observed_points between 5 and 50 on these 4 rows: row-1/group-a/2026-10-01/observed=10/expected=1, row-2/group-b/2026-10-02/observed=20/expected=2, row-3/group-a/2026-10-01/observed=10/expected=1 (duplicate), row-4/group-b/2026-10-03/observed=8/expected=4."},{"title":"Outlier detection in completeness tracking","prompt":"Check these 5 time series completeness records for quality issues, remove any duplicate rows, and filter expected_points to only rows with values between 2 and 100: row-1/group-x/2026-11-01/observed=5/expected=5, row-2/group-x/2026-11-02/observed=null/expected=10, row-3/group-y/2026-11-03/observed=200/expected=3, row-4/group-y/2026-11-03/observed=200/expected=3, row-5/group-x/2026-11-04/observed=8/expected=null."},{"title":"Multi-group completeness data cleanup","prompt":"I need to clean up my completeness dataset before a report — audit record quality, deduplicate, and filter observed_points from 0 to 500 for these rows: row-A/alpha/2026-09-01/observed=100/expected=100, row-B/beta/2026-09-02/observed=50/expected=80, row-C/alpha/2026-09-01/observed=100/expected=100, row-D/gamma/2026-09-03/observed=600/expected=90, row-E/beta/2026-09-04/observed=75/expected=80."}],"resultDescription":"Three independent analytical reports returned for the submitted rows: (1) a record quality audit flagging malformed, null, or invalid records; (2) an exact row deduplication report identifying and removing fully duplicate rows; and (3) a numeric interval filter report listing which rows fall within the specified minimum–maximum range for the chosen field (observed_points or expected_points). All processing is local with no external data lookups.","failureModes":["Fewer than 1 row submitted — rejected by minItems constraint","More than 200 rows submitted — rejected by maxItems constraint","Invalid date format (not YYYY-MM-DD) — schema validation error","row_id missing or empty — required field validation error","minimum greater than maximum — may produce empty interval filter results","Null numeric values — handled as missing but may affect interval filter counts"],"whenToPreferThis":"Choose this endpoint when you need three simultaneous data quality operations — quality audit, deduplication, and numeric range filtering — on a time series completeness dataset (observed vs expected points) in a single API call. It is best suited for batch cleanup of up to 200 rows of completeness logs, pipeline quality gates before reporting, or exploratory auditing of multi-group time series data. Prefer alternatives if you need live data lookup, forecasting, statistical modeling, or operations on datasets exceeding 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T12:38:51.619Z","isFirstParty":false,"canonicalSlug":"time-series-completeness-record-quality-audit-exact-row-deduplication-4c31969f"}