{"uid":"cap_25NCYA9soQX0T9a6uoMHM","slug":"pipeline-durations-record-quality-audit-string-normalisation-equal-7926f609","name":"Pipeline Durations — Record Quality Audit + String Normalisation + Equal-Width Histogram","description":"Pipeline durations — Record quality audit + String normalisation + Equal-width histogram: Record quality audit + String normalisation + Equal-width histogram 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-05-202?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"bins":{"type":"integer","default":5,"maximum":30,"minimum":1},"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_HLTm8Q287D6pqxwlDPeTu","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 combined analytical reports (data quality audit, string normalisation, and equal-width histogram) on pipeline duration records containing run_seconds and processed_rows fields.","exampleAgentPrompt":"Can you run the three-in-one pipeline duration analytics — quality audit, string normalisation, and a 10-bin histogram on the run_seconds field — for these 50 pipeline records I have from last week's ETL jobs?","exampleUseCases":[{"title":"ETL pipeline performance review","prompt":"I've got 120 records from our nightly ETL runs with run_seconds and processed_rows — can you do a quality audit, normalise the dataset_group strings, and generate a 5-bin histogram on run_seconds so I can spot any weird outliers?"},{"title":"Data quality check before dashboard ingestion","prompt":"Before I load these pipeline logs into our BI dashboard, can you run a record quality audit and string normalisation on all 80 rows and also give me an equal-width histogram with 8 bins on the processed_rows field?"},{"title":"Histogram analysis for capacity planning","prompt":"I want to understand how our pipeline durations are distributed — please run the combined audit, normalisation, and a 15-bin histogram on run_seconds for these 200 pipeline records from this quarter's batch jobs."}],"resultDescription":"Returns three independent analytical reports: (1) a record quality audit identifying issues like nulls, out-of-range values, and malformed entries; (2) a string normalisation report for text fields like dataset_group; and (3) an equal-width histogram report for the chosen numeric field (run_seconds or processed_rows) broken into the requested number of bins. All computed locally with no external lookups.","failureModes":["More than 200 rows submitted — request rejected due to maxItems constraint","Invalid date format (not YYYY-MM-DD) — row fails schema validation","Missing required fields (row_id, dataset_group, date, run_seconds, processed_rows) — row rejected","bins value outside 1–30 range — request rejected","Invalid field enum value (not run_seconds or processed_rows) — request rejected","All numeric values are null — histogram may return empty or degenerate result"],"whenToPreferThis":"Choose this endpoint when you need three standard analytical operations (quality audit, string normalisation, histogram) bundled together at low cost on up to 200 pipeline duration records. It is best suited for offline or batch analytical use cases where you supply your own data and want quick, local computation without any live data lookup, prediction, or external action. It is not appropriate for real-time monitoring, ML-based anomaly detection, or datasets exceeding 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-18T00:58:21.235Z","isFirstParty":false,"canonicalSlug":"pipeline-durations-record-quality-audit-string-normalisation-equal-7926f609"}