{"uid":"cap_it_L0CPzsXFdHDjnlnRkg","slug":"transformation-throughput-adjacent-row-changes-date-by-category-pivot-b068c1bb","name":"Transformation Throughput — Adjacent Row Changes + Date by Category Pivot","description":"Transformation throughput — Adjacent row changes + Date by category pivot: Adjacent row changes + Date by category pivot 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-13-160?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_J0FTLSXMbloorTH6bfX08","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":"Analyzes transformation throughput records (processed_rows, duration_seconds) to produce two reports: adjacent row changes and a date-by-category pivot table, for up to 200 rows.","exampleAgentPrompt":"Can you run an adjacent row changes report and a date-by-category pivot on my transformation throughput data — I have 4 records with row_ids row-1 through row-4, dataset groups group-a and group-b, dates from 2026-10-01 to 2026-10-04, and I want to analyze the processed_rows field?","exampleUseCases":[{"title":"Day-over-day pipeline throughput delta","prompt":"I have a week of ETL run logs with row_id, dataset_group, date, processed_rows, and duration_seconds for up to 150 records — can you give me the adjacent row changes and a date-by-group pivot on processed_rows so I can see where throughput dropped?"},{"title":"Duration trend pivot by dataset group","prompt":"Run a date-by-category pivot and adjacent changes report on my transformation logs — I'm analyzing duration_seconds across two groups called 'ingest' and 'transform' over 30 daily records and need to spot anomalies."},{"title":"Batch job performance comparison","prompt":"I've got 200 rows of batch job stats with processed_rows and duration_seconds tagged by dataset_group and date — analyze the adjacent row changes and pivot by date and category so I can compare how each group performs over time."}],"resultDescription":"Returns two analytical reports: (1) an adjacent row changes report showing delta values between consecutive records for the selected metric (processed_rows or duration_seconds), and (2) a date-by-category pivot table cross-tabulating the metric values by date and dataset_group. No external lookups or predictions are included.","failureModes":["Input array exceeds 200 rows — request rejected","Missing required fields (row_id, date, dataset_group, processed_rows, duration_seconds) — validation error","Invalid date format (must match YYYY-MM-DD pattern) — schema validation failure","Null values in processed_rows or duration_seconds may affect adjacent delta calculations","Payment of 0.01 USDC not included or invalid — x402 payment required error"],"whenToPreferThis":"Choose this endpoint when you have tabular transformation throughput records with a date, group identifier, and one or two numeric metrics, and you need both sequential delta analysis (adjacent row changes) and a cross-tabulated pivot by date and category — all in a single paid call. Ideal for lightweight, local analytical computation on up to 200 rows without needing a full BI platform or external data warehouse.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-28T19:42:21.614Z","isFirstParty":false,"canonicalSlug":"transformation-throughput-adjacent-row-changes-date-by-category-pivot-b068c1bb"}