{"uid":"cap_ECzfiLbvot233WBgiEOmZ","slug":"transformation-throughput-analytics-numeric-interval-filter-keyed-56623ec2","name":"Transformation Throughput Analytics — Numeric Interval Filter + Keyed Dataset Comparison","description":"Transformation throughput — Numeric interval filter + Keyed dataset comparison: Numeric interval filter + Keyed dataset comparison 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-13-134?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}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"dataset_group":{"type":"string","default":"","maxLength":80},"processed_rows":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"duration_seconds":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","dataset_group":"group-a","processed_rows":10,"duration_seconds":1},{"date":"2026-10-02","row_id":"row-2","dataset_group":"group-b","processed_rows":20,"duration_seconds":2},{"date":"2026-10-03","row_id":"row-3","dataset_group":"group-a","processed_rows":15,"duration_seconds":3},{"date":"2026-10-04","row_id":"row-4","dataset_group":"group-b","processed_rows":30,"duration_seconds":4}],"maxItems":200,"minItems":1},"field":{"enum":["processed_rows","duration_seconds"],"type":"string","default":"processed_rows"},"other":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","processed_rows","duration_seconds"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","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":21,"duration_seconds":2},{"date":"2026-10-03","row_id":"row-3","dataset_group":"group-a","processed_rows":17,"duration_seconds":3},{"date":"2026-10-04","row_id":"row-4","dataset_group":"group-b","processed_rows":33,"duration_seconds":4}],"maxItems":200,"minItems":0},"maximum":{"type":"number","default":100,"maximum":1000000000000,"minimum":-1000000000000},"minimum":{"type":"number","default":0,"maximum":1000000000000,"minimum":-1000000000000}}},"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_4YR6dReXPOQDzXR-QPQoy","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) by applying a numeric interval filter and comparing two keyed datasets, returning up to 2 analytical reports for up to 200 rows.","exampleAgentPrompt":"I have two batches of transformation throughput records — up to 200 rows each, with fields like row_id, dataset_group, date, processed_rows, and duration_seconds — can you run a numeric interval filter on processed_rows and then compare the two datasets side by side using keyed matching?","exampleUseCases":[{"title":"ETL pipeline performance comparison","prompt":"I ran my ETL job twice this week — here are the throughput logs for both runs with row_id, dataset_group, date, processed_rows, and duration_seconds. Can you filter processed_rows to a meaningful interval and compare the two runs side by side to see where performance changed?"},{"title":"Throughput outlier detection by group","prompt":"I have 150 transformation records across two dataset groups (group-a and group-b) with processed_rows and duration_seconds. Can you apply a numeric interval filter on duration_seconds and compare how each group performed against a baseline dataset I'll also provide?"},{"title":"Data pipeline audit across date range","prompt":"Here are two sets of daily transformation logs — primary and reference — each with row_id, dataset_group, date, processed_rows, and duration_seconds for October. Please filter processed_rows by numeric interval and do a keyed comparison between the two datasets so I can spot discrepancies."}],"resultDescription":"Returns 2 analytical reports: one numeric interval filter report showing which rows fall within specified numeric bounds for the chosen field (processed_rows or duration_seconds), and one keyed dataset comparison report matching rows from the primary and secondary datasets by key to highlight differences. Results cover up to 200 rows and are computed locally without external lookups.","failureModes":["Input array exceeds 200 rows — request will be rejected or truncated","Missing required fields (row_id, dataset_group, date, processed_rows, duration_seconds) cause validation errors","Invalid date format (not YYYY-MM-DD) triggers schema validation failure","Numeric values outside allowed range (-1e12 to 1e12) are rejected","Empty rows array (minItems: 1 not met) returns an error","Mismatched row_ids between primary and comparison dataset result in unmatched rows in comparison report"],"whenToPreferThis":"Choose this endpoint when you need to analyze transformation throughput data (processed_rows, duration_seconds) across two datasets with up to 200 rows, specifically requiring both a numeric interval filter and a keyed dataset comparison in a single $0.01 call. Prefer this over general analytics services when your data is already structured with row_id, dataset_group, date, processed_rows, and duration_seconds fields and you need lightweight, self-contained analysis without external data enrichment or prediction.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T12:46:47.264Z","isFirstParty":false,"canonicalSlug":"transformation-throughput-analytics-numeric-interval-filter-keyed-56623ec2"}