{"uid":"cap_8mlzSsMg_70EsonKexW-R","slug":"pipeline-durations-analytics-deduplication-numeric-distribution-35d54035","name":"Pipeline Durations Analytics — Deduplication + Numeric Distribution","description":"Pipeline durations — Exact row deduplication + Numeric distribution: Exact row deduplication + Numeric distribution 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-05-039?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"}}},"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_Bg2MbE6ymJekNdSrBx-IS","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":"Performs exact row deduplication and numeric distribution analysis on pipeline duration records (run_seconds, processed_rows) for up to 200 rows, returning two independent analytical reports.","exampleAgentPrompt":"Can you run a deduplication check and numeric distribution analysis on my pipeline run data? I have records with row_id, dataset_group, date, run_seconds, and processed_rows — analyze the run_seconds field across up to 200 rows and give me both the duplicate report and the distribution breakdown.","exampleUseCases":[{"title":"ETL pipeline run audit","prompt":"I have about 150 pipeline execution records with run_seconds and processed_rows — can you check them for exact duplicate rows and also show me the numeric distribution of run_seconds so I can spot outliers?"},{"title":"Data quality check before reporting","prompt":"Before I publish my weekly pipeline report, can you deduplicate my dataset and give me a distribution analysis of the processed_rows field? I'll send you the records with row_id, dataset_group, date, and the numeric columns."},{"title":"Multi-group pipeline performance summary","prompt":"I've got pipeline duration logs across two dataset groups — group-a and group-b — and I want to know if there are any exact duplicate rows, plus see the full numeric distribution of run_seconds across all entries."}],"resultDescription":"Returns two independent analytical reports for the submitted pipeline duration records: (1) an exact row deduplication report identifying duplicate entries across all fields, and (2) a numeric distribution report (min, max, mean, percentiles, etc.) for the selected field (run_seconds or processed_rows), computed over up to 200 input rows using local analytical engines.","failureModes":["Input array exceeds 200 rows — request rejected","Missing required fields (row_id, date, dataset_group, run_seconds, processed_rows) cause validation failure","Invalid date format (not YYYY-MM-DD) triggers schema rejection","Numeric values outside allowed range cause validation errors","Empty rows array rejected (minItems: 1)","Payment failure (x402 protocol) prevents execution"],"whenToPreferThis":"Choose this endpoint when you need both exact row deduplication and numeric distribution analysis on pipeline duration data in a single low-cost call. It is purpose-built for ETL/pipeline monitoring use cases with structured records containing run_seconds and processed_rows fields, and is ideal when you want two complementary data quality reports without needing live lookups or external predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-16T06:52:30.255Z","isFirstParty":false,"canonicalSlug":"pipeline-durations-analytics-deduplication-numeric-distribution-35d54035"}