{"uid":"cap_TivrTki8F6QcyWQzVus8Q","slug":"transformation-throughput-analytics-string-normalisation-numeric-row-b5d9a254","name":"Transformation Throughput Analytics — String Normalisation + Numeric Row Ordering","description":"Transformation throughput — String normalisation + Numeric row ordering: String normalisation + Numeric row ordering for supplied transformation throughput records (processed_rows, duration_seconds). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-analytics-13-025?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_00pcWLGXoSDw7Rd263fb9","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":"Normalises string fields and orders rows numerically for up to 200 transformation throughput records (processed_rows, duration_seconds), returning 2 local analytical reports per call.","exampleAgentPrompt":"Can you run string normalisation and numeric row ordering on my transformation throughput data? I have 4 rows with dataset groups 'group-a' and 'group-b', processed_rows values of 10, 20, 15, 30 and duration_seconds of 1, 2, 3, 4 — use processed_rows as the field and give me both analytical reports.","exampleUseCases":[{"title":"ETL batch run ranking by throughput","prompt":"I have logs from yesterday's ETL jobs with row IDs, dataset groups, processed_rows and duration_seconds for about 50 rows. Can you normalise the group name strings and rank all the rows numerically by processed_rows so I can see which batches were most productive?"},{"title":"Pipeline duration ordering for SLA review","prompt":"Here are 120 transformation throughput records from our nightly pipeline — each has a row_id, dataset_group, date, processed_rows, and duration_seconds. Please normalise the string fields and order the rows by duration_seconds so I can spot which jobs ran longest."},{"title":"Throughput data cleanup before reporting","prompt":"Before I hand these 80 throughput records to my reporting team, can you normalise the dataset_group strings and sort everything numerically by processed_rows? I want both the normalisation report and the ordering report in one go."}],"resultDescription":"Two analytical reports per call: one covering string normalisation of the dataset_group and related string fields across up to 200 rows, and one covering numeric ordering of the chosen field (processed_rows or duration_seconds). Results are computed locally without external lookups or predictions.","failureModes":["More than 200 rows submitted — request rejected due to maxItems limit","Missing required fields (row_id, date, processed_rows, duration_seconds) — validation error","Date field not matching YYYY-MM-DD pattern — schema validation failure","Invalid field enum value (not 'processed_rows' or 'duration_seconds') — rejected","Null numeric values in all rows may produce empty ordering report","Payment not completed via x402 protocol — endpoint inaccessible"],"whenToPreferThis":"Choose this endpoint when you need both string normalisation and numeric row ordering in a single $0.01 call for up to 200 transformation throughput records without requiring live data lookup, external APIs, or predictive modelling. It is ideal for lightweight, self-contained analytical reporting on ETL or pipeline batch records where you supply all the data.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T12:46:16.084Z","isFirstParty":false,"canonicalSlug":"transformation-throughput-analytics-string-normalisation-numeric-row-b5d9a254"}