{"uid":"cap_gbgWfzjmvrST16u6-uYoA","slug":"data-pipeline-runs-secondary-measure-weighted-mean-68dac9a7","name":"Data Pipeline Runs – Secondary-Measure Weighted Mean","description":"Data pipeline runs - Secondary-measure weighted mean: Secondary-measure weighted mean for Data pipeline runs. Up to 200 supplied typed records. Local descriptive analytics; no enrichment or forecast. One of 25 new profiles across 20 shared operations in this industry. 0.01 USDC includes one bounded secondary-measure weighted mean report.","url":"https://market.datapackvibe.com/x402/assistant-ar-analytics-pipeline-runs-weighted-average?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","pipeline","date","processed_rows","rejected_rows"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"pipeline":{"type":"string","default":"","maxLength":80},"rejected_rows":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"processed_rows":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","pipeline":"group-a","rejected_rows":1,"processed_rows":10},{"date":"2026-10-02","row_id":"row-2","pipeline":"group-b","rejected_rows":2,"processed_rows":20},{"date":"2026-10-03","row_id":"row-3","pipeline":"group-a","rejected_rows":3,"processed_rows":15},{"date":"2026-10-04","row_id":"row-4","pipeline":"group-b","rejected_rows":4,"processed_rows":30}],"maxItems":200,"minItems":1},"field":{"enum":["processed_rows","rejected_rows"],"type":"string","default":"processed_rows"}}},"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_uenmTHyExf0RHamdeV2t7","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 secondary-measure weighted mean over up to 200 typed data pipeline run records (processed_rows or rejected_rows) with local descriptive analytics.","exampleAgentPrompt":"Can you calculate the weighted mean of processed_rows across these pipeline run records? I have 4 runs: pipeline group-a on 2026-10-01 processed 10 rows with 1 rejected, group-b on 2026-10-02 processed 20 rows with 2 rejected, group-a on 2026-10-03 processed 15 rows with 3 rejected, group-b on 2026-10-04 processed 30 rows with 4 rejected.","exampleUseCases":[{"title":"Pipeline throughput weighted average","prompt":"I have a week's worth of pipeline run logs — each entry has a pipeline name, date, processed_rows, and rejected_rows. Can you compute the weighted mean of processed_rows across all those runs so I can see overall throughput?"},{"title":"Data quality rejection rate analysis","prompt":"I want to understand our data rejection trends — please compute the weighted mean of rejected_rows for our last 50 pipeline runs using the records I'm uploading. Use rejected_rows as the field to weight on."},{"title":"Comparing pipeline group performance","prompt":"We have two pipeline groups, group-a and group-b, and I have their run records for the past month. Can you calculate the weighted mean of processed_rows for each so I can compare their performance?"}],"resultDescription":"A bounded descriptive analytics report containing the secondary-measure weighted mean value for the specified numeric field (processed_rows or rejected_rows) computed over the supplied pipeline run records, with no enrichment or forecasting.","failureModes":["Empty or missing rows array returns validation error","More than 200 records submitted exceeds maxItems limit","Invalid date format (not YYYY-MM-DD) causes schema rejection","Null values in both numeric fields may produce undefined weighted mean","Invalid field enum value other than processed_rows or rejected_rows rejected","row_id missing or empty string causes required field validation failure"],"whenToPreferThis":"Choose this endpoint when you need a fast, local weighted mean computation specifically for data pipeline run metrics (processed_rows or rejected_rows) without needing forecasting, enrichment, or external data lookups. Ideal for batch descriptive analytics on up to 200 pipeline run records at minimal cost ($0.01 USDC).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-18T12:56:42.200Z","isFirstParty":false,"canonicalSlug":"data-pipeline-runs-secondary-measure-weighted-mean-68dac9a7"}