{"uid":"cap_jE7srSRW97SfETrc12vPT","slug":"pipeline-durations-numeric-distribution-secondary-measure-weighted-mean-35ec03ff","name":"Pipeline Durations — Numeric Distribution + Secondary-Measure Weighted Mean","description":"Pipeline durations — Numeric distribution + Secondary-measure weighted mean: Numeric distribution + Secondary-measure weighted mean 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-05-082?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_kmItaK7_QoPRhBIVB3vWp","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":"Computes a numeric distribution and a secondary-measure weighted mean for supplied pipeline duration records (run_seconds, processed_rows) using local analytical engines.","exampleAgentPrompt":"Analyze the distribution of run_seconds for my pipeline runs and give me the secondary-measure weighted mean — here are 4 records: row-1 on 2026-10-01 ran 10 seconds processing 1 row (group-a), row-2 on 2026-10-02 ran 20 seconds processing 2 rows (group-b), row-3 on 2026-10-03 ran 15 seconds processing 3 rows (group-a), row-4 on 2026-10-04 ran 30 seconds processing 4 rows (group-b).","exampleUseCases":[{"title":"ETL pipeline performance audit","prompt":"I have 50 pipeline execution records with run_seconds and processed_rows — can you compute the numeric distribution of run_seconds and give me the weighted mean across those runs? Here are the rows..."},{"title":"Dataset group duration comparison","prompt":"Analyze the distribution of processed_rows for my batch pipeline runs across group-a and group-b — I want the full numeric distribution and weighted mean for these 30 records I'll provide."},{"title":"Outlier detection in pipeline runtimes","prompt":"Can you give me a numeric distribution of run_seconds for these 100 pipeline jobs so I can spot outliers, along with a secondary-measure weighted mean using processed_rows as the weight?"}],"resultDescription":"Returns two independent analytical reports: (1) a numeric distribution (e.g. min, max, percentiles, histogram buckets) for the selected field across all supplied rows, and (2) a secondary-measure weighted mean where one field weights the mean of the other — both computed locally without external lookups. Covers up to 200 input rows per call.","failureModes":["Input array is empty or exceeds 200 rows — validation error returned","row_id missing or exceeds 80 characters — schema validation failure","run_seconds or processed_rows outside allowed numeric range — rejected","date field does not match YYYY-MM-DD pattern — schema error","Invalid field selector (not 'run_seconds' or 'processed_rows') — enum validation failure","Payment not included or insufficient — x402 payment required response"],"whenToPreferThis":"Choose this endpoint when you have raw pipeline duration records (run_seconds, processed_rows) and need both a numeric distribution and a secondary-measure weighted mean in a single call. It is best suited for small-to-medium datasets (up to 200 rows), offline/supplied data analysis without any external lookup, and scenarios where two analytical reports are needed cost-efficiently at $0.01 USDC per call.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-16T06:42:27.638Z","isFirstParty":false,"canonicalSlug":"pipeline-durations-numeric-distribution-secondary-measure-weighted-mean-35ec03ff"}