{"uid":"cap_vtTIQg6S4gL8F1USy0wzE","slug":"pipeline-durations-analytics-record-quality-audit-string-688de153","name":"Pipeline Durations Analytics — Record Quality Audit + String Normalisation + Numeric Distribution","description":"Pipeline durations — Record quality audit + String normalisation + Numeric distribution: Record quality audit + String normalisation + Numeric distribution 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-05-193?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_i6gcvVmZWSA1vwX2982vf","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 analytical reports (record quality audit, string normalisation, and numeric distribution) on up to 200 pipeline duration records containing run_seconds and processed_rows fields.","exampleAgentPrompt":"Can you run a full quality audit, string normalisation, and numeric distribution analysis on these pipeline duration records — here are up to 200 rows with run_seconds and processed_rows fields, and I want to focus the numeric analysis on run_seconds?","exampleUseCases":[{"title":"ETL pipeline quality health check","prompt":"I have a batch of 150 pipeline run logs with run_seconds and processed_rows values — can you audit them for record quality issues, normalise the dataset_group strings, and give me a numeric distribution of run_seconds so I can spot outliers?"},{"title":"Processed rows distribution profiling","prompt":"Here are 80 rows of pipeline execution data including processed_rows counts — please run all three reports (quality audit, string normalisation, and numeric distribution) and focus the distribution analysis on processed_rows."},{"title":"Dataset group naming consistency check","prompt":"We have pipeline records from multiple teams and I think the dataset_group labels are inconsistent — can you run the string normalisation report alongside a record quality audit on these 60 rows to see what's going on?"}],"resultDescription":"Three independent analytical reports: (1) a record quality audit flagging nulls, missing values, or anomalies across the supplied rows; (2) a string normalisation report on categorical fields like dataset_group; (3) a numeric distribution summary (min, max, mean, percentiles, etc.) for the chosen numeric field (run_seconds or processed_rows). All computed locally from the supplied data, no external lookups.","failureModes":["Input array exceeds 200 rows — request rejected","Missing required fields (row_id, date, run_seconds, processed_rows, dataset_group) on any row causes validation error","Date field not in YYYY-MM-DD format causes schema rejection","Empty rows array returns error","Invalid field enum value (not 'run_seconds' or 'processed_rows') causes rejection"],"whenToPreferThis":"Choose this endpoint when you have up to 200 pipeline duration records and need all three analytical perspectives — quality auditing, string normalisation, and numeric distribution — bundled in a single low-cost call. Ideal for data engineers validating ETL pipeline logs offline without needing live lookups, predictions, or external enrichment.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-17T19:01:22.773Z","isFirstParty":false,"canonicalSlug":"pipeline-durations-analytics-record-quality-audit-string-688de153"}