{"uid":"cap_2R8IQZYMW4tCrT26G_7xn","slug":"pipeline-durations-record-quality-audit-string-normalisation-keyed-5f7834c0","name":"Pipeline Durations — Record Quality Audit + String Normalisation + Keyed Dataset Comparison","description":"Pipeline durations — Record quality audit + String normalisation + Keyed dataset comparison: Record quality audit + String normalisation + Keyed dataset comparison 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-05-207?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}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"run_seconds":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"dataset_group":{"type":"string","default":"","maxLength":80},"processed_rows":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","run_seconds":10,"dataset_group":"group-a","processed_rows":1},{"date":"2026-10-02","row_id":"row-2","run_seconds":20,"dataset_group":"group-b","processed_rows":2},{"date":"2026-10-03","row_id":"row-3","run_seconds":15,"dataset_group":"group-a","processed_rows":3},{"date":"2026-10-04","row_id":"row-4","run_seconds":30,"dataset_group":"group-b","processed_rows":4}],"maxItems":200,"minItems":1},"other":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","run_seconds","processed_rows"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","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":21,"dataset_group":"group-b","processed_rows":2},{"date":"2026-10-03","row_id":"row-3","run_seconds":17,"dataset_group":"group-a","processed_rows":3},{"date":"2026-10-04","row_id":"row-4","run_seconds":33,"dataset_group":"group-b","processed_rows":4}],"maxItems":200,"minItems":0}}},"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_KtDCCsYq3U3bqH6XjeTk0","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 keyed dataset comparison) on pipeline duration records containing run_seconds and processed_rows fields, for up to 200 rows.","exampleAgentPrompt":"Can you run a record quality audit, string normalisation, and keyed dataset comparison on my two sets of pipeline duration records? The primary dataset has rows like row-1 on 2026-10-01 with run_seconds=10 and processed_rows=1 in group-a, and I want to compare them against a second dataset with the same keys but slightly different run_seconds values.","exampleUseCases":[{"title":"ETL pipeline run health check","prompt":"I have up to 150 rows of pipeline execution logs with run_seconds and processed_rows per dataset_group — can you run a record quality audit and string normalisation on them and tell me if there are any bad records?"},{"title":"Before-and-after pipeline comparison","prompt":"I have two versions of my pipeline duration dataset — the original and an updated one with the same row IDs — can you do a keyed comparison between them to highlight where run_seconds or processed_rows changed?"},{"title":"Data quality gate before warehouse load","prompt":"Before I load these pipeline duration records into our data warehouse, can you audit them for quality issues, normalise the string fields, and flag anything that looks off across the dataset_group and date columns?"}],"resultDescription":"Three independent analytical reports: (1) a record quality audit flagging invalid, null, or out-of-range values in run_seconds and processed_rows; (2) a string normalisation report cleaning and standardising text fields like dataset_group; and (3) a keyed dataset comparison report showing row-level differences between the primary and secondary datasets matched by row_id.","failureModes":["Exceeding 200 rows returns a validation error","Missing required fields (row_id, dataset_group, date, run_seconds, processed_rows) causes row-level rejection","Malformed date strings not matching YYYY-MM-DD pattern fail schema validation","Numeric values outside the allowed range (-1000000000000 to 1000000000000) are rejected","Empty rows array returns an error (minItems: 1)"],"whenToPreferThis":"Choose this endpoint when you need three pipeline-duration-specific analytical reports in a single $0.01 USDC call — particularly when you want record quality auditing, string field normalisation, and row-keyed cross-dataset comparison combined. It is best suited for offline/batch analytical use cases on up to 200 rows of pipeline execution data, not for real-time monitoring or live data lookups.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-18T00:58:20.792Z","isFirstParty":false,"canonicalSlug":"pipeline-durations-record-quality-audit-string-normalisation-keyed-5f7834c0"}