{"uid":"cap_9Uc2NIME1V4l5B_MqSlxr","slug":"transformation-throughput-record-quality-audit-string-normalisation-73208385","name":"Transformation Throughput — Record Quality Audit + String Normalisation + Grouped Numeric Summary","description":"Transformation throughput — Record quality audit + String normalisation + Grouped numeric summary: Record quality audit + String normalisation + Grouped numeric summary 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-13-194?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"}}},"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_E9kz5mBrfctb9Xkkye-Lr","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":"Audits data quality, normalises strings, and computes grouped numeric summaries for transformation throughput records (processed_rows, duration_seconds) across up to 200 rows in three independent reports.","exampleAgentPrompt":"Can you run a record quality audit, string normalisation, and grouped numeric summary on my transformation throughput data? I have 4 rows with dataset groups 'group-a' and 'group-b', dates from 2026-10-01 to 2026-10-04, processed_rows values of 10, 20, 15, 30, and duration_seconds of 1, 2, 3, 4 — analyse the processed_rows field.","exampleUseCases":[{"title":"ETL pipeline quality health check","prompt":"I've got transformation throughput logs from last week with processed_rows and duration_seconds for each job run grouped by pipeline stage — can you audit the data quality, normalise the dataset_group strings, and give me a grouped numeric summary of processed_rows?"},{"title":"Data engineering team summary report","prompt":"Run a full three-part analysis on my throughput records: check record quality, normalise the string fields, and produce a grouped summary of duration_seconds across our dataset groups — I have about 50 rows covering October."},{"title":"Anomaly pre-screening before dashboard load","prompt":"Before I load these 120 transformation throughput rows into our dashboard, can you audit the record quality, clean up the dataset_group strings, and give me grouped stats on processed_rows so I can spot issues early?"}],"resultDescription":"Three independent analytical reports: (1) a record quality audit flagging missing values, format errors, and anomalies; (2) a string normalisation report showing cleaned and standardised dataset_group and related string fields; (3) a grouped numeric summary (e.g. mean, min, max, count) of the selected field (processed_rows or duration_seconds) broken down by dataset_group. All computed locally with no external lookups.","failureModes":["Fewer than 1 row or more than 200 rows submitted — request rejected","Missing required fields (row_id, date, dataset_group) — validation error","Date field does not match YYYY-MM-DD pattern — schema validation failure","Invalid field enum value (not 'processed_rows' or 'duration_seconds') — error returned","Numeric values outside allowed range (±1,000,000,000,000) — schema rejection","Payment not included or insufficient USDC — x402 payment required response"],"whenToPreferThis":"Choose this endpoint when you need three bundled analytical reports — quality audit, string normalisation, and grouped numeric summary — on transformation throughput data in a single low-cost call. Ideal for data engineers who want to pre-screen ETL pipeline logs for quality issues and get grouped statistics without building custom scripts. Prefer this over single-report endpoints when all three analyses are needed simultaneously to save cost and round-trips.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-28T19:42:31.187Z","isFirstParty":false,"canonicalSlug":"transformation-throughput-record-quality-audit-string-normalisation-73208385"}