{"uid":"cap_IakPo4_76-R5UHOWNGvVc","slug":"pipeline-durations-analytics-record-quality-audit-string-67270fbf","name":"Pipeline Durations Analytics — Record Quality Audit, String Normalisation & Exact Row Deduplication","description":"Pipeline durations — Record quality audit + String normalisation + Exact row deduplication: Record quality audit + String normalisation + Exact row deduplication 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-05-191?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}}},"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_BBS29TO6w7InqBbZKbRYJ","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 independent data-quality reports (quality audit, string normalisation, and exact deduplication) on up to 200 pipeline-duration records containing run_seconds and processed_rows fields.","exampleAgentPrompt":"Can you run a full data quality audit, string normalisation, and exact row deduplication check on these pipeline duration records — I have about 50 rows with fields like row_id, dataset_group, date, run_seconds, and processed_rows?","exampleUseCases":[{"title":"ETL pipeline data quality audit","prompt":"I have 120 rows of pipeline run logs with columns row_id, dataset_group, date, run_seconds, and processed_rows — can you run a quality audit, string normalisation, and exact deduplication report on all of them so I can see what needs fixing?"},{"title":"Removing duplicate pipeline timing rows","prompt":"Before I load my pipeline metrics into the warehouse, can you check these 80 records for exact duplicate rows and also flag any string normalisation issues in the dataset_group field?"},{"title":"Validating processed_rows and run_seconds values","prompt":"I want to verify data integrity on these 35 pipeline duration records — please run the quality audit and deduplication reports to catch any nulls, out-of-range values, or repeated entries in my run_seconds and processed_rows columns."}],"resultDescription":"Returns three independent analytical reports for the supplied pipeline duration records: (1) a record quality audit highlighting issues such as nulls, out-of-range values, and malformed fields; (2) a string normalisation report identifying inconsistent or non-standard string values in fields like dataset_group and date; and (3) an exact row deduplication report listing duplicate records. No external lookups or predictions are made; all analysis runs locally on the supplied data.","failureModes":["Submitting more than 200 rows returns a validation error","Missing required fields (row_id, dataset_group, date, run_seconds, processed_rows) causes a schema validation failure","Malformed date strings not matching YYYY-MM-DD pattern are rejected","Numeric values outside the allowed min/max range (-1e12 to 1e12) cause input rejection","Empty rows array (minItems: 1 not met) returns an error","Payment of 0.01 USDC not included or rejected causes a 402 Payment Required response"],"whenToPreferThis":"Choose this endpoint when you need three bundled data-quality reports (audit, string normalisation, and deduplication) specifically for pipeline duration datasets with run_seconds and processed_rows fields, all for a flat $0.01 USDC covering up to 200 rows. Prefer it over general-purpose data tools when your data is already in the required schema and you want fast, offline analytical results without any external API calls or predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-18T00:42:40.548Z","isFirstParty":false,"canonicalSlug":"pipeline-durations-analytics-record-quality-audit-string-67270fbf"}