{"uid":"cap_Jj_CYYgE6tgKgyRw0H_-J","slug":"transformation-throughput-analytics-numeric-row-ordering-base-100-38d0946a","name":"Transformation Throughput Analytics: Numeric Row Ordering + Base-100 Series","description":"Transformation throughput — Numeric row ordering + Base-100 series: Numeric row ordering + Base-100 series 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-13-117?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_7WcOfV1Z00XiZ7s55mHk9","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":"Computes numeric row ordering and a base-100 index series for transformation throughput records (processed_rows, duration_seconds) across up to 200 rows, returning two analytical reports.","exampleAgentPrompt":"Rank and index my transformation throughput records using a base-100 series — here are my rows with processed_rows and duration_seconds for dataset groups across October 2026, using processed_rows as the field and row index 0 as the base.","exampleUseCases":[{"title":"ETL pipeline performance ranking","prompt":"I have 50 daily ETL job records with processed_rows and duration_seconds for two dataset groups. Can you rank them numerically and build a base-100 index series starting from the first row, using processed_rows as the measure?"},{"title":"Benchmarking data throughput over time","prompt":"I want to compare how my data transformation throughput has changed over the past quarter — here are 120 records with dates, dataset groups, and processed_rows values. Give me a numeric row ordering and a base-100 index so I can see relative changes."},{"title":"Duration normalization for pipeline runs","prompt":"Can you take my 80 pipeline run records with duration_seconds and dataset_group labels, rank them in order, and create a base-100 index series anchored to row index 0 so I can see which runs are faster or slower relative to the baseline?"}],"resultDescription":"Returns two reports: (1) numeric row ordering of the supplied records ranked by the selected field (processed_rows or duration_seconds), and (2) a base-100 index series for the selected field anchored at the specified base_index row, enabling relative performance comparison across up to 200 transformation throughput records.","failureModes":["Fewer than 1 row supplied returns a validation error","More than 200 rows submitted exceeds the row limit and is rejected","Missing required fields (row_id, date, processed_rows, duration_seconds) cause schema validation failure","Invalid date format (not YYYY-MM-DD) triggers pattern validation error","base_index out of range (above number of rows) causes an error","Null values in the selected metric field may produce incomplete rankings"],"whenToPreferThis":"Use this endpoint when you have transformation throughput records (with processed_rows and/or duration_seconds) and need both a numeric rank ordering and a base-100 relative index series in a single call for up to 200 rows. Ideal for ETL performance analysis, pipeline benchmarking, and throughput normalization without requiring external data sources or live lookups.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-28T19:42:26.337Z","isFirstParty":false,"canonicalSlug":"transformation-throughput-analytics-numeric-row-ordering-base-100-38d0946a"}