{"uid":"cap_LSaf8VJWtKv5NLxiLbyQF","slug":"data-pipeline-runs-numeric-distribution-report-afc2f6c0","name":"Data Pipeline Runs — Numeric Distribution Report","description":"Data pipeline runs - Numeric distribution: Numeric distribution 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 numeric distribution report.","url":"https://market.datapackvibe.com/x402/assistant-ar-analytics-pipeline-runs-describe?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_-R156vsML1McWBqXf2oBO","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 local descriptive numeric distribution report (e.g. min, max, mean, percentiles, histogram) for a chosen numeric field across up to 200 data pipeline run records.","exampleAgentPrompt":"Can you run a numeric distribution report on the rejected_rows field for these pipeline runs? I've got 4 records — pipeline group-a on 2026-10-01 processed 10 rows with 1 rejected, group-b on 2026-10-02 processed 20 with 2 rejected, group-a on 2026-10-03 processed 15 with 3 rejected, and group-b on 2026-10-04 processed 30 with 4 rejected.","exampleUseCases":[{"title":"Pipeline rejection rate distribution check","prompt":"Here are 50 daily pipeline run records for the last two months — can you give me a full numeric distribution report on the rejected_rows field so I can see how spread out our rejection counts are?"},{"title":"Processed rows volume spread analysis","prompt":"I want to understand the distribution of processed_rows across these pipeline runs — can you compute descriptive stats like min, max, percentiles and frequency for the processed_rows column across these 120 records?"},{"title":"Comparing pipeline groups by row counts","prompt":"I have run data for three pipeline groups over the past quarter — about 180 records total. Can you generate a numeric distribution summary on the processed_rows field so I can see how the counts are spread out?"}],"resultDescription":"Returns a bounded descriptive numeric distribution report for the chosen field (processed_rows or rejected_rows) across the submitted pipeline run records, including statistics such as count, min, max, mean, median, standard deviation, and percentile breakdowns — all computed locally with no external enrichment or forecasting.","failureModes":["Empty or missing rows array returns validation error","More than 200 records submitted exceeds maxItems limit and is rejected","Invalid date format (not YYYY-MM-DD) causes schema validation failure","Missing required fields (row_id, pipeline, date, processed_rows, rejected_rows) triggers error","Field selector value outside allowed enum (processed_rows, rejected_rows) is rejected","Null values in the target numeric field may affect distribution calculation output","Payment of 0.01 USDC not completed results in 402 payment required response"],"whenToPreferThis":"Choose this endpoint when you have up to 200 pipeline run records and need a quick, local descriptive numeric distribution — no external data, no forecasting, no enrichment. Ideal for understanding the spread, central tendency, and shape of either processed_rows or rejected_rows counts. Prefer it over general-purpose analytics tools when you want a cheap ($0.01), fast, self-contained summary scoped specifically to data pipeline run metrics.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-18T12:56:39.611Z","isFirstParty":false,"canonicalSlug":"data-pipeline-runs-numeric-distribution-report-afc2f6c0"}