{"uid":"cap_P3Jj_bd5oV2ezK0RHWaTV","slug":"transformation-throughput-analytics-numeric-row-ordering-daily-sum-437faf6b","name":"Transformation Throughput Analytics — Numeric Row Ordering + Daily Sum Series","description":"Transformation throughput — Numeric row ordering + Daily sum series: Numeric row ordering + Daily sum 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-13-114?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_un9zPEoPfoPohqA7gBSKm","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":"Generates two analytical reports (numeric row ordering and daily sum series) for transformation throughput data including processed_rows and duration_seconds fields, across up to 200 rows.","exampleAgentPrompt":"Rank these transformation records by processed_rows and also give me a daily sum series — I have 4 rows: row-1 on 2026-10-01 group-a with 10 processed_rows and 1 duration_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":"Pipeline throughput ranking by date","prompt":"I have daily ETL run records — can you rank them numerically by processed_rows and also show me the daily sum of processed_rows over the past week? Here are my 5 rows: row-1 on 2026-10-01 group-a 500 rows 12 seconds, row-2 on 2026-10-02 group-b 300 rows 8 seconds, row-3 on 2026-10-03 group-a 750 rows 20 seconds, row-4 on 2026-10-04 group-b 200 rows 5 seconds, row-5 on 2026-10-05 group-a 400 rows 10 seconds."},{"title":"Duration bottleneck identification across groups","prompt":"Here are 6 transformation job records — please rank them by duration_seconds and give me a daily sum of duration_seconds so I can see which days had the heaviest processing load: row-1 2026-11-01 group-x 1000 rows 45s, row-2 2026-11-01 group-y 800 rows 30s, row-3 2026-11-02 group-x 600 rows 60s, row-4 2026-11-02 group-y 900 rows 25s, row-5 2026-11-03 group-x 1200 rows 80s, row-6 2026-11-03 group-y 700 rows 35s."},{"title":"Multi-group daily processed rows summary","prompt":"I've got 8 transformation throughput records across two dataset groups and I need both a numeric ranking by processed_rows and a daily aggregated total of processed_rows — rows are: row-a 2026-09-10 alpha 5000 rows 100s, row-b 2026-09-10 beta 3000 rows 60s, row-c 2026-09-11 alpha 7000 rows 140s, row-d 2026-09-11 beta 4000 rows 80s, row-e 2026-09-12 alpha 6000 rows 120s, row-f 2026-09-12 beta 2000 rows 40s, row-g 2026-09-13 alpha 8000 rows 160s, row-h 2026-09-13 beta 1000 rows 20s."}],"resultDescription":"Returns two independent analytical reports: (1) a numeric row ordering that ranks the supplied transformation records by the chosen field (processed_rows or duration_seconds), and (2) a daily sum series that aggregates the chosen metric by date across all supplied rows. Both reports are computed locally with no external data or predictions.","failureModes":["Fewer than 1 row supplied — minimum 1 row required","More than 200 rows supplied — exceeds maximum item limit","Invalid date format (must be YYYY-MM-DD pattern)","Missing required fields: row_id, dataset_group, date, processed_rows, or duration_seconds","Invalid field enum value — must be 'processed_rows' or 'duration_seconds'","Numeric values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000)","Payment failure — 0.01 USDC required per call"],"whenToPreferThis":"Choose this endpoint when you need two complementary analytical views — ranked row ordering and daily aggregated totals — on transformation throughput data (processed_rows or duration_seconds) in a single low-cost call. Ideal for ETL pipeline monitoring, data engineering teams reviewing job performance, or any scenario where you have up to 200 timestamped throughput records and want both individual record rankings and day-level summaries without building your own analytics stack.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-28T19:41:56.403Z","isFirstParty":false,"canonicalSlug":"transformation-throughput-analytics-numeric-row-ordering-daily-sum-437faf6b"}