{"uid":"cap_nk7dCDtvVYXuMixlGWDg8","slug":"transformation-throughput-daily-sum-series-base-100-series-e8b7b3a9","name":"Transformation Throughput — Daily Sum Series + Base-100 Series","description":"Transformation throughput — Daily sum series + Base-100 series: Daily sum series + 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-13-138?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_7_2kALWBMUuSG6eNOD2hf","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 daily sum time series and Base-100 index series for transformation throughput metrics (processed_rows, duration_seconds) from up to 200 supplied records.","exampleAgentPrompt":"Take my transformation throughput records — 4 rows across group-a and group-b from Oct 1–4 2026 with processed_rows values — and give me both a daily sum series and a Base-100 index series starting from row 0, using processed_rows as the field.","exampleUseCases":[{"title":"ETL pipeline daily volume trend","prompt":"I have 120 rows of ETL run logs with dates, dataset groups, and processed_rows counts. Can you build me a daily sum series and a Base-100 index starting from the first day so I can see how volume has trended over time?"},{"title":"Pipeline duration performance index","prompt":"Here are my pipeline execution records for the last 90 days with duration_seconds per run. Give me a daily sum of total processing time and a Base-100 index relative to day zero so I can spot slowdowns."},{"title":"Multi-group throughput comparison baseline","prompt":"I've got transformation throughput data split across three dataset groups with both processed_rows and duration_seconds. Aggregate it into daily totals and index it to the first day's baseline using processed_rows so I can compare groups on a common scale."}],"resultDescription":"Returns two independent analytical reports: (1) a daily sum series aggregating the chosen metric (processed_rows or duration_seconds) by date across all supplied rows, and (2) a Base-100 series that re-expresses each daily total relative to the value at the specified base_index row, allowing trend and growth comparisons. Both reports are computed locally on the supplied data with no external lookups.","failureModes":["Fewer than 1 row supplied — request rejected","More than 200 rows supplied — request rejected","Missing required row fields (row_id, date, processed_rows, duration_seconds) — validation error","Invalid date format (not YYYY-MM-DD) — schema validation failure","base_index out of range (>= number of rows) — computation error","Null values in the chosen metric field may affect sum accuracy"],"whenToPreferThis":"Choose this endpoint when you have raw transformation throughput records (up to 200 rows) and need both a date-aggregated daily sum series and a Base-100 indexed trend series in a single call for $0.01 USDC. Ideal for ETL pipeline analytics, data engineering dashboards, and throughput monitoring where you want to understand daily volume totals and relative growth from a baseline date without building your own analytical pipeline.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-28T19:42:30.587Z","isFirstParty":false,"canonicalSlug":"transformation-throughput-daily-sum-series-base-100-series-e8b7b3a9"}