{"uid":"cap_U3K2lT9fbtrfmS_c5omQw","slug":"duplicate-observations-numeric-interval-filter-daily-sum-series-08799b03","name":"Duplicate Observations — Numeric Interval Filter + Daily Sum Series","description":"Duplicate observations — Numeric interval filter + Daily sum series: Numeric interval filter + Daily sum series for supplied duplicate observations records (duplicate_rows, total_rows). 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-04-125?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_xkIvKEfKoMYw5Wiv4Keu6","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":"Filters duplicate observation records by a numeric range on a chosen field and computes a daily sum series, delivering two analytical reports for up to 200 rows.","exampleAgentPrompt":"I have 4 duplicate-observation records for dataset groups 'group-a' and 'group-b' dated 2026-10-01 through 2026-10-04 — each has a duplicate_rows and total_rows value. Can you run both the numeric interval filter (keeping only records where duplicate_rows is between 0 and 25) and the daily sum series on them and give me the two reports?","exampleUseCases":[{"title":"Daily duplicate spike detection","prompt":"I've got 150 rows of daily dataset audit records with duplicate_rows and total_rows counts from October. Filter them so we only see entries where duplicate_rows is between 5 and 100, then give me the daily sum series for duplicate_rows across those dates."},{"title":"Dataset group quality reporting","prompt":"Here are 80 records across three dataset groups covering the last quarter — each row has a date, duplicate_rows, and total_rows. Run the interval filter on total_rows keeping values from 50 to 500, plus a daily sum series, and return both reports."},{"title":"Threshold-based duplicate monitoring","prompt":"I want to know how my duplicate row counts trend day by day, but only for records where duplicate_rows falls between 0 and 30. I have 60 observation rows to supply — please run the numeric interval filter and daily sum reports on them."}],"resultDescription":"Returns two analytical reports based on the supplied rows: (1) a numeric interval filter report showing which records fall within the specified min/max range for the chosen field (duplicate_rows or total_rows), and (2) a daily sum series aggregating the chosen field's values by date — both computed locally with no external lookups.","failureModes":["Fewer than 1 or more than 200 rows supplied — request rejected","date field does not match YYYY-MM-DD pattern — validation error","minimum value exceeds maximum value — may produce empty filter results","null values in duplicate_rows or total_rows — rows may be excluded from aggregation","field enum value not 'duplicate_rows' or 'total_rows' — schema validation error"],"whenToPreferThis":"Choose this endpoint when you have up to 200 duplicate-observation records (with duplicate_rows and total_rows per date) and need both a numeric range filter report AND a daily sum aggregation in a single low-cost call. Ideal for data quality pipelines, dataset auditing workflows, or monitoring duplicate counts over time without needing a live database or external analytics service.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T06:55:28.335Z","isFirstParty":false,"canonicalSlug":"duplicate-observations-numeric-interval-filter-daily-sum-series-08799b03"}