{"uid":"cap_yFVaaGeoTLrLGmAkY5ceo","slug":"duplicate-observations-analytics-quality-audit-deduplication-numeric-3c001b42","name":"Duplicate Observations Analytics: Quality Audit + Deduplication + Numeric Interval Filter","description":"Duplicate observations — Record quality audit + Exact row deduplication + Numeric interval filter: Record quality audit + Exact row deduplication + Numeric interval filter for supplied duplicate observations records (duplicate_rows, total_rows). 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-04-214?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","duplicate_rows","total_rows"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"total_rows":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"dataset_group":{"type":"string","default":"","maxLength":80},"duplicate_rows":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","total_rows":1,"dataset_group":"group-a","duplicate_rows":10},{"date":"2026-10-02","row_id":"row-2","total_rows":2,"dataset_group":"group-b","duplicate_rows":20},{"date":"2026-10-03","row_id":"row-3","total_rows":3,"dataset_group":"group-a","duplicate_rows":15},{"date":"2026-10-04","row_id":"row-4","total_rows":4,"dataset_group":"group-b","duplicate_rows":30}],"maxItems":200,"minItems":1},"field":{"enum":["duplicate_rows","total_rows"],"type":"string","default":"duplicate_rows"},"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_X3cc-OFstNOw00Ujoe-Q4","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":"Runs three local analytical reports on supplied duplicate-observation records: a record quality audit, exact row deduplication, and a numeric interval filter on duplicate_rows or total_rows.","exampleAgentPrompt":"Can you run a quality audit, exact deduplication check, and a numeric interval filter on my duplicate observations dataset? I have 4 rows — group-a on 2026-10-01 had 10 duplicate rows out of 1 total, group-b on 2026-10-02 had 20 out of 2, group-a on 2026-10-03 had 15 out of 3, and group-b on 2026-10-04 had 30 out of 4 — filter on the duplicate_rows field between 0 and 100.","exampleUseCases":[{"title":"Dataset deduplication audit for data pipeline","prompt":"I have a batch of 8 observation records from two dataset groups tracking duplicate and total row counts — can you run all three reports (quality audit, exact deduplication, and numeric interval filter) on them, filtering the duplicate_rows field between 5 and 50?"},{"title":"Data quality check for ETL output","prompt":"After our nightly ETL run I've got records with dataset_group, date, duplicate_rows, and total_rows for each batch — please audit the record quality, deduplicate exact rows, and filter total_rows between 100 and 10000 for these 15 records."},{"title":"Monthly duplicate trend analysis by group","prompt":"I want to analyze duplicate observation counts across group-a and group-b for October 2026 — run the quality audit, deduplication, and interval filter on the 20 rows I'll supply, filtering duplicate_rows between 0 and 200."}],"resultDescription":"Returns three independent analytical reports for the supplied rows: (1) a record quality audit flagging missing, malformed, or anomalous values; (2) an exact row deduplication report identifying and removing identical rows; and (3) a numeric interval filter report listing rows where the chosen field (duplicate_rows or total_rows) falls within the specified minimum–maximum range. All computed locally with no external lookups.","failureModes":["More than 200 rows supplied — request is rejected; split into batches of ≤200","Missing required fields (row_id, dataset_group, date, duplicate_rows, total_rows) cause validation errors","Date fields not matching YYYY-MM-DD pattern are rejected","minimum greater than maximum causes an invalid interval filter","Null values for duplicate_rows or total_rows may be excluded from numeric filter report","Payment of 0.01 USDC not completed causes request rejection"],"whenToPreferThis":"Choose this endpoint when you need a combined, lightweight, local-only analytical pass over a small-to-medium dataset (up to 200 rows) tracking duplicate and total row counts — specifically when you want all three capabilities (quality audit, deduplication, numeric filter) in a single low-cost call without any external API lookups or live data dependencies.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T07:19:32.910Z","isFirstParty":false,"canonicalSlug":"duplicate-observations-analytics-quality-audit-deduplication-numeric-3c001b42"}