{"uid":"cap_6LJCWsQbWoaeOoe0nhSsx","slug":"pipeline-durations-analytics-quality-audit-string-normalisation-cf60a6a7","name":"Pipeline Durations Analytics: Quality Audit + String Normalisation + Numeric Row Ordering","description":"Pipeline durations — Record quality audit + String normalisation + Numeric row ordering: Record quality audit + String normalisation + Numeric row ordering for supplied pipeline durations records (run_seconds, processed_rows). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-analytics-05-196?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_n-KteDrhahCvtaxI6GK2L","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":"Runs three local analytical reports on pipeline duration records — record quality audit, string normalisation, and numeric row ordering — for up to 200 rows of run_seconds and processed_rows data.","exampleAgentPrompt":"Audit the quality of these pipeline duration records, normalise the dataset_group strings, and sort them numerically by run_seconds — I have 4 rows with dates from 2026-10-01 to 2026-10-04, row IDs row-1 through row-4, groups group-a and group-b, run_seconds of 10, 20, 15, and 30, and processed_rows of 1, 2, 3, and 4.","exampleUseCases":[{"title":"ETL pipeline health check","prompt":"I have 50 pipeline run records with row IDs, dates, dataset group names, run_seconds and processed_rows values — can you run a quality audit on them, normalise the string fields, and order them by run_seconds so I can see which jobs are slowest?"},{"title":"Data quality review before reporting","prompt":"Before I hand off this pipeline dataset to the reporting team, can you audit the record quality, clean up the dataset_group strings, and sort everything numerically by processed_rows? I have about 120 rows covering October runs."},{"title":"Debugging erratic pipeline durations","prompt":"My pipeline logs have some suspicious entries — can you do a quality audit on these 80 records, normalise the group name strings, and give me a numeric ordering of run_seconds so I can spot outliers? The field I care about most is run_seconds."}],"resultDescription":"Returns three independent reports: (1) a record quality audit flagging issues such as nulls, out-of-range values, or malformed dates; (2) a string normalisation report cleaning dataset_group and related text fields; and (3) a numeric row ordering report ranking rows by the selected field (run_seconds or processed_rows). All processing is done locally with no external lookups.","failureModes":["More than 200 rows submitted — exceeds maxItems limit","Missing required fields (row_id, date, run_seconds, processed_rows, dataset_group) — validation error","Date strings not matching YYYY-MM-DD pattern — schema rejection","Invalid field enum value (not run_seconds or processed_rows) — rejection","Empty rows array — minItems violation"],"whenToPreferThis":"Choose this endpoint when you need a bundled, cost-effective ($0.01 USDC for three reports) local analytical pass over pipeline duration data — specifically combining quality auditing, string normalisation, and numeric ordering in a single call without any external data lookups, predictions, or side effects. Ideal for pre-reporting data hygiene, debugging ETL anomalies, or validating pipeline logs before downstream use.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-18T00:58:12.505Z","isFirstParty":false,"canonicalSlug":"pipeline-durations-analytics-quality-audit-string-normalisation-cf60a6a7"}