{"uid":"cap_U-j3_3ORxWOGsaZnb8rYF","slug":"pipeline-durations-analytics-string-normalisation-numeric-distribution-1d0922dd","name":"Pipeline Durations Analytics — String Normalisation + Numeric Distribution","description":"Pipeline durations — String normalisation + Numeric distribution: String normalisation + 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-05-022?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_rvWT_OwT5hGvem2lJX11b","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":"Analyzes pipeline duration records (run_seconds, processed_rows) by running string normalization and numeric distribution reports on up to 200 supplied rows.","exampleAgentPrompt":"Can you run string normalization and numeric distribution analysis on these pipeline duration records — I have 4 rows with run_seconds and processed_rows for groups 'group-a' and 'group-b' from October 2026 — and analyze the run_seconds field?","exampleUseCases":[{"title":"ETL pipeline performance profiling","prompt":"I have a batch of 50 pipeline run records with run_seconds and processed_rows logged by date and dataset group — can you run a string normalization and numeric distribution report on the run_seconds field so I can see how durations are spread?"},{"title":"Processed rows volume distribution","prompt":"Here are 120 pipeline execution records from last month, each with a row_id, date, dataset_group, run_seconds, and processed_rows — please run the numeric distribution analysis on processed_rows so I can understand the volume spread across runs."},{"title":"Dataset group label normalization audit","prompt":"I've got pipeline logs for two dataset groups across 80 rows — can you run the string normalization report on these records along with the numeric distribution for run_seconds to check both label consistency and runtime stats?"}],"resultDescription":"Two independent analytical reports: a string normalization report (cleaning and standardizing string fields like dataset_group) and a numeric distribution report (statistical distribution summary such as min, max, mean, percentiles, histogram buckets) for the chosen numeric field (run_seconds or processed_rows), computed locally on the supplied rows without any external lookups.","failureModes":["More than 200 rows submitted — request will be rejected or truncated","Missing required fields (row_id, date, run_seconds, processed_rows, dataset_group) cause validation errors","Invalid date format (not YYYY-MM-DD) triggers schema validation failure","Numeric values outside allowed range cause rejection","Empty rows array returns an error","Payment not attached or insufficient USDC causes x402 payment required response"],"whenToPreferThis":"Choose this endpoint when you have pipeline execution records with duration and throughput metrics (run_seconds, processed_rows) and need both string normalization of categorical labels and a numeric distribution profile in a single call, without needing live data lookup, prediction, or external enrichment. Ideal for data engineers auditing ETL pipeline performance or throughput distributions on batches up to 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-16T06:54:35.675Z","isFirstParty":false,"canonicalSlug":"pipeline-durations-analytics-string-normalisation-numeric-distribution-1d0922dd"}