{"uid":"cap_aV-KlgVMRr8eRsPOD99QB","slug":"pipeline-durations-analytics-record-quality-audit-exact-row-5f3c989a","name":"Pipeline Durations Analytics: Record Quality Audit + Exact Row Deduplication + Numeric Interval Filter","description":"Pipeline durations — Record quality audit + Exact row deduplication + Numeric interval filter: Record quality audit + Exact row deduplication + Numeric interval filter for supplied pipeline durations records (run_seconds, processed_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-05-214?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_RLM4MfeJeSKSqJMEWwWc1","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 independent analytical reports on pipeline duration records — a record quality audit, exact row deduplication check, and numeric interval filter — for up to 200 rows of run_seconds/processed_rows data.","exampleAgentPrompt":"Can you audit these pipeline duration records for quality issues, find any exact duplicates, and filter to only rows where run_seconds is between 0 and 100? Here are up to 200 rows with fields row_id, dataset_group, date, run_seconds, and processed_rows.","exampleUseCases":[{"title":"ETL pipeline health check","prompt":"I have 150 rows of pipeline execution logs with run_seconds and processed_rows. Can you run a record quality audit and check for exact duplicate rows, filtering to jobs where run_seconds is between 5 and 3600?"},{"title":"Identify out-of-range pipeline runs","prompt":"Here are my pipeline duration records — can you filter them so I only see rows where processed_rows falls between 1000 and 50000, and also flag any quality issues or exact duplicates in the dataset?"},{"title":"Data cleaning before pipeline reporting","prompt":"Before I build my pipeline performance report, can you audit these 80 run records for data quality, deduplicate any exact row matches, and filter to entries where run_seconds is between 0 and 500? The records have row_id, dataset_group, date, run_seconds, and processed_rows."}],"resultDescription":"Returns three independent reports: (1) a record quality audit flagging missing, malformed, or anomalous values in the supplied rows; (2) an exact row deduplication report identifying duplicate records; and (3) a numeric interval filter report listing rows where the chosen field (run_seconds or processed_rows) falls within the specified minimum–maximum range. All analysis is performed on the supplied data with no external lookups.","failureModes":["Fewer than 1 row submitted returns an error","More than 200 rows exceeds the maxItems limit and is rejected","Invalid date format (not YYYY-MM-DD) fails schema validation","run_seconds or processed_rows values outside ±1,000,000,000,000 are rejected","minimum greater than maximum may return an empty interval filter result","Missing required fields (row_id, date, dataset_group) cause row-level validation failures"],"whenToPreferThis":"Choose this endpoint when you need three simultaneous analytical reports — quality audit, deduplication, and interval filtering — on pipeline duration data (run_seconds, processed_rows) in a single $0.01 call for up to 200 rows. Prefer this over separate single-purpose tools when you want combined data hygiene and range filtering in one pass without external data lookups or predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T06:41:12.763Z","isFirstParty":false,"canonicalSlug":"pipeline-durations-analytics-record-quality-audit-exact-row-5f3c989a"}