{"uid":"cap_FnZdDU8kY6145VQFcAKjd","slug":"transformation-throughput-adjacent-row-changes-equal-width-histogram-1aca5e62","name":"Transformation Throughput — Adjacent Row Changes + Equal-Width Histogram","description":"Transformation throughput — Adjacent row changes + Equal-width histogram: Adjacent row changes + Equal-width histogram 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-13-156?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"bins":{"type":"integer","default":5,"maximum":30,"minimum":1},"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_djuLzEhj_ONyo0Pan1pXN","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 two analytical reports on transformation throughput data: adjacent row-to-row changes and an equal-width histogram, using local analytical engines on up to 200 supplied records.","exampleAgentPrompt":"Analyze my ETL throughput records for adjacent row-to-row changes and a 5-bin equal-width histogram on the processed_rows field — here are 4 rows: row-1 on 2026-10-01 group-a with 10 processed rows and 1 second, row-2 on 2026-10-02 group-b with 20 rows and 2 seconds, row-3 on 2026-10-03 group-a with 15 rows and 3 seconds, row-4 on 2026-10-04 group-b with 30 rows and 4 seconds.","exampleUseCases":[{"title":"ETL pipeline throughput spike detection","prompt":"I have 50 daily ETL run records with processed_rows and duration_seconds — can you compute the adjacent row changes and a 10-bin histogram on processed_rows so I can spot any sudden throughput spikes?"},{"title":"Duration distribution analysis for batch jobs","prompt":"Run a 5-bin equal-width histogram on duration_seconds and show me the adjacent row changes for my transformation throughput records across these 30 rows — I want to understand how long each batch job took relative to the others."},{"title":"Dataset group throughput comparison","prompt":"I've got transformation throughput logs for two dataset groups over the past week — can you give me both the adjacent row change report and an equal-width histogram with 8 bins on processed_rows so I can compare performance?"}],"resultDescription":"Two analytical reports: (1) adjacent row changes showing delta values between consecutive records for the selected field (processed_rows or duration_seconds), and (2) an equal-width histogram with configurable bins summarizing the distribution of that field across all supplied rows. Both reports are computed locally from the supplied data with no external lookups.","failureModes":["More than 200 rows submitted — request rejected, reduce row count","Missing required fields (row_id, date, processed_rows, duration_seconds) — validation error","Bins value outside 1–30 range — schema validation failure","Date strings not in YYYY-MM-DD format — pattern validation error","All numeric values are null — histogram and delta computation may return empty or null results"],"whenToPreferThis":"Choose this endpoint when you have up to 200 transformation throughput records and need both a row-by-row change analysis and a frequency distribution histogram in a single API call. It is ideal for ETL pipeline diagnostics, batch job duration analysis, and data engineering monitoring workflows where local computation is sufficient and no external data, predictions, or live lookups are required. Prefer this over single-report endpoints when you need both adjacent-change and histogram analytics bundled at $0.01 USDC.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-28T19:42:26.336Z","isFirstParty":false,"canonicalSlug":"transformation-throughput-adjacent-row-changes-equal-width-histogram-1aca5e62"}