{"uid":"cap_Ah-Kw-FPDtluc1q-YkhzB","slug":"transformation-throughput-analytics-record-quality-audit-string-563ea4be","name":"Transformation Throughput Analytics: Record Quality Audit + String Normalisation + Base-100 Series","description":"Transformation throughput — Record quality audit + String normalisation + Base-100 series: Record quality audit + String normalisation + Base-100 series for supplied transformation throughput records (processed_rows, duration_seconds). 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-13-201?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","processed_rows","duration_seconds"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"dataset_group":{"type":"string","default":"","maxLength":80},"processed_rows":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"duration_seconds":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","dataset_group":"group-a","processed_rows":10,"duration_seconds":1},{"date":"2026-10-02","row_id":"row-2","dataset_group":"group-b","processed_rows":20,"duration_seconds":2},{"date":"2026-10-03","row_id":"row-3","dataset_group":"group-a","processed_rows":15,"duration_seconds":3},{"date":"2026-10-04","row_id":"row-4","dataset_group":"group-b","processed_rows":30,"duration_seconds":4}],"maxItems":200,"minItems":1},"field":{"enum":["processed_rows","duration_seconds"],"type":"string","default":"processed_rows"},"base_index":{"type":"integer","default":0,"maximum":199,"minimum":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_GZNRaIK1LpZ0Oy-IwH7MF","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 on transformation throughput records — record quality audit, string normalisation, and base-100 index series — using supplied processed_rows and duration_seconds data.","exampleAgentPrompt":"Can you run the three-in-one throughput analytics on my pipeline data — quality audit, string normalisation, and base-100 index series for processed_rows starting from row index 0? Here are the records: row-1 for group-a on 2026-10-01 with 10 processed rows taking 1 second, row-2 for group-b on 2026-10-02 with 20 rows in 2 seconds, row-3 for group-a on 2026-10-03 with 15 rows in 3 seconds.","exampleUseCases":[{"title":"ETL batch quality audit","prompt":"I have 50 ETL run records with processed_rows and duration_seconds and I want to audit their data quality, normalise the string fields, and get a base-100 index series for processed_rows starting at index 0 — can you run all three reports on them?"},{"title":"Pipeline duration trend indexing","prompt":"Take my 30 pipeline throughput records across dataset groups alpha and beta from last month and produce the quality audit, string normalisation, and a base-100 series for duration_seconds anchored to the first row."},{"title":"Data engineering reporting package","prompt":"I need a full analytics package on my transformation throughput logs — quality audit, string normalisation, and base-100 indexing for processed_rows — for these 20 records spread across dataset group 'prod' and 'staging' from October 2026."}],"resultDescription":"Three independent analytical reports: (1) a record quality audit flagging missing, null, or out-of-range values in the supplied rows; (2) a string normalisation report standardising dataset_group and other string fields; and (3) a base-100 index series for the selected numeric field (processed_rows or duration_seconds) relative to the specified base row index. No external data is fetched; all analysis is performed locally on the supplied data.","failureModes":["Fewer than 1 or more than 200 rows submitted — rejected by schema validation","Invalid date format (not YYYY-MM-DD) causes row rejection","base_index out of range (≥ number of submitted rows) causes index series error","Non-numeric or null values in processed_rows or duration_seconds may limit computation","Missing required fields (row_id, date, processed_rows, duration_seconds) cause row-level errors","Payment failure or insufficient USDC balance blocks the request"],"whenToPreferThis":"Choose this endpoint when you need three complementary analytical perspectives — quality audit, string normalisation, and base-100 indexing — on transformation throughput data (processed_rows, duration_seconds) in a single $0.01 call with up to 200 rows. It is ideal when you want offline, self-contained analysis with no external lookups or predictions. Prefer alternatives if you need live data enrichment, forecasting, or more than 200 rows processed at once.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T12:46:16.824Z","isFirstParty":false,"canonicalSlug":"transformation-throughput-analytics-record-quality-audit-string-563ea4be"}