{"uid":"cap_U0v2X5x_QR-K46Lg4VDYB","slug":"pipeline-durations-base-100-series-two-measure-correlation-0d46a4cb","name":"Pipeline Durations — Base-100 Series + Two-Measure Correlation","description":"Pipeline durations — Base-100 series + Two-measure correlation: Base-100 series + Two-measure correlation for supplied pipeline durations records (run_seconds, processed_rows). 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-05-165?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","run_seconds","processed_rows"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"run_seconds":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"dataset_group":{"type":"string","default":"","maxLength":80},"processed_rows":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","run_seconds":10,"dataset_group":"group-a","processed_rows":1},{"date":"2026-10-02","row_id":"row-2","run_seconds":20,"dataset_group":"group-b","processed_rows":2},{"date":"2026-10-03","row_id":"row-3","run_seconds":15,"dataset_group":"group-a","processed_rows":3},{"date":"2026-10-04","row_id":"row-4","run_seconds":30,"dataset_group":"group-b","processed_rows":4}],"maxItems":200,"minItems":1},"field":{"enum":["run_seconds","processed_rows"],"type":"string","default":"run_seconds"},"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_FW6ttgRrFN8lsV2Y2nCB7","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 a Base-100 index series and a two-measure correlation report for supplied pipeline duration records (run_seconds and processed_rows) — up to 200 rows, no external data required.","exampleAgentPrompt":"Can you index my pipeline run times as a Base-100 series starting from the first row, and also show me the correlation between run_seconds and processed_rows? Here are my records: row-1 on 2025-01-01 ran 120 seconds and processed 5000 rows (group-a), row-2 on 2025-01-02 ran 150 seconds and processed 6200 rows (group-b), row-3 on 2025-01-03 ran 90 seconds and processed 4100 rows (group-a).","exampleUseCases":[{"title":"ETL pipeline performance baseline tracking","prompt":"I have 30 days of ETL pipeline run logs with run_seconds and processed_rows for two dataset groups. Can you build a Base-100 index starting from day 1 and also tell me how strongly run_seconds and processed_rows are correlated across all those runs?"},{"title":"Comparing throughput efficiency across pipeline groups","prompt":"Here's a dataset of pipeline runs across group-a and group-b over the past month — each row has a date, run duration in seconds, and how many rows were processed. Can you normalize run_seconds to a base-100 series from row index 0 and give me the correlation between the two measures?"},{"title":"Detecting pipeline slowdowns relative to baseline","prompt":"I want to see whether my pipelines are getting slower over time. I have 80 rows of run data with run_seconds and processed_rows. Please index run_seconds against the very first run as base 100, and also compute the correlation between duration and volume processed."}],"resultDescription":"Returns two analytical reports: (1) a Base-100 index series showing each row's selected measure (run_seconds or processed_rows) relative to the baseline row, and (2) a two-measure correlation report quantifying the relationship between run_seconds and processed_rows across the supplied rows. No external lookups or predictions are made; all computation uses the supplied data only.","failureModes":["Input array exceeds 200 rows — request rejected","Required fields (row_id, date, run_seconds, processed_rows, dataset_group) missing from one or more rows — validation error","base_index out of range (0–199) or references a non-existent row — error returned","Null values in run_seconds or processed_rows may reduce correlation quality or cause partial results","Malformed date strings not matching YYYY-MM-DD pattern — validation failure","Fewer than 2 rows provided — correlation cannot be computed meaningfully"],"whenToPreferThis":"Choose this endpoint when you have pipeline execution records with numeric duration and volume fields and need both a relative trend index (Base-100 series) and a linear correlation between two measures computed locally — without external API calls, ML models, or live data. Ideal for data engineers wanting lightweight, reproducible analytical summaries on small-to-medium datasets (up to 200 rows) at minimal cost ($0.01 USDC covers both reports).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T18:54:33.501Z","isFirstParty":false,"canonicalSlug":"pipeline-durations-base-100-series-two-measure-correlation-0d46a4cb"}