{"uid":"cap_9ZBcjrquAAXx9ec7RDNmh","slug":"pipeline-durations-analytics-numeric-interval-filter-date-by-category-946bc476","name":"Pipeline Durations Analytics: Numeric Interval Filter + Date-by-Category Pivot","description":"Pipeline durations — Numeric interval filter + Date by category pivot: Numeric interval filter + Date by category pivot for supplied pipeline durations records (run_seconds, processed_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-05-133?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","run_seconds","processed_rows"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"run_seconds":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"dataset_group":{"type":"string","default":"","maxLength":80},"processed_rows":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","run_seconds":10,"dataset_group":"group-a","processed_rows":1},{"date":"2026-10-02","row_id":"row-2","run_seconds":20,"dataset_group":"group-b","processed_rows":2},{"date":"2026-10-03","row_id":"row-3","run_seconds":15,"dataset_group":"group-a","processed_rows":3},{"date":"2026-10-04","row_id":"row-4","run_seconds":30,"dataset_group":"group-b","processed_rows":4}],"maxItems":200,"minItems":1},"field":{"enum":["run_seconds","processed_rows"],"type":"string","default":"run_seconds"},"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_ojxNv41bi_nLsLRVcLDoT","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 two local analytical reports on pipeline duration data — a numeric interval filter and a date-by-category pivot — for up to 200 supplied rows of run_seconds and processed_rows data.","exampleAgentPrompt":"I have pipeline run data for up to 200 rows — can you filter the records where run_seconds is between 10 and 500, and also pivot the run_seconds values by date and dataset_group, so I can see which groups are slow on which days?","exampleUseCases":[{"title":"Slow pipeline identification by time window","prompt":"Here's my pipeline log data for the last two weeks — filter all runs where run_seconds is between 300 and 3600 so I can flag the slow ones, and also give me a pivot of run_seconds by date and dataset_group."},{"title":"Processed rows throughput audit by category","prompt":"I want to audit how many rows each of my dataset groups processed each day — can you pivot processed_rows by date and dataset_group, and also filter to only show records where processed_rows is between 1000 and 50000?"},{"title":"ETL job duration range analysis for SLA reporting","prompt":"We need to check SLA compliance — filter our ETL job records to only those where run_seconds falls between 0 and 900 seconds, and also produce a date-by-category pivot of run_seconds so we can spot which groups are breaching the limit on which days."}],"resultDescription":"Returns two analytical reports derived from the supplied pipeline duration records: (1) rows filtered to only those where the selected field (run_seconds or processed_rows) falls within the specified numeric minimum-maximum interval, and (2) a pivot table crossing date against dataset_group, aggregating the selected metric — all computed locally from supplied data with no external lookups, covering up to 200 input rows.","failureModes":["Input exceeds 200 rows — request will be rejected or truncated","Missing required fields (row_id, dataset_group, date, run_seconds, processed_rows) cause validation errors","Date values not matching YYYY-MM-DD pattern are rejected","Minimum greater than maximum produces empty interval filter results","Null values in the selected numeric field may be excluded from interval filtering","Invalid field enum value (not 'run_seconds' or 'processed_rows') causes a schema validation error"],"whenToPreferThis":"Choose this endpoint when you have already collected pipeline duration records (up to 200 rows) and need two quick, offline analytical views: a numeric range filter and a date-by-category pivot — without needing any live data lookup or external enrichment. It is well-suited for ETL monitoring, SLA auditing, or batch job performance review where the data is already on hand and you want structured summaries at minimal cost ($0.01 USDC for both reports).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-16T06:55:14.016Z","isFirstParty":false,"canonicalSlug":"pipeline-durations-analytics-numeric-interval-filter-date-by-category-946bc476"}