{"uid":"cap_njE1LpO_qEHvHubTeHjbR","slug":"pipeline-durations-numeric-row-ordering-trailing-mean-series-792123d1","name":"Pipeline Durations — Numeric Row Ordering + Trailing Mean Series","description":"Pipeline durations — Numeric row ordering + Trailing mean series: Numeric row ordering + Trailing mean series 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-05-115?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"},"window":{"type":"integer","default":2,"maximum":200,"minimum":2}}},"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_rKS_3Hg_PacG7sKEwCNpI","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 numeric row ordering and a trailing moving-average series for pipeline duration records (run_seconds or processed_rows) across up to 200 rows.","exampleAgentPrompt":"I have 4 pipeline run records with run_seconds values — can you compute numeric row ordering and a trailing mean with window size 2 for the run_seconds field? Rows are: 2026-10-01 row-1 group-a 10s 1 row, 2026-10-02 row-2 group-b 20s 2 rows, 2026-10-03 row-3 group-a 15s 3 rows, 2026-10-04 row-4 group-b 30s 4 rows.","exampleUseCases":[{"title":"ETL pipeline run time trend analysis","prompt":"I have daily ETL pipeline records for the past month — can you compute numeric row ordering and a trailing mean with window 7 for run_seconds so I can spot slowdowns over time?"},{"title":"Processed row throughput smoothing","prompt":"Here are 50 pipeline runs with processed_rows counts — give me numeric row ordering and a trailing mean series with window 5 for processed_rows to smooth out the noise."},{"title":"Group-level pipeline performance review","prompt":"I've got 120 pipeline duration records across two dataset groups. Can you run numeric row ordering and trailing mean analysis with window 3 on run_seconds so I can review performance trends?"}],"resultDescription":"Returns two analytical reports: (1) a numeric row ordering of the supplied pipeline records, and (2) a trailing moving-average series computed over the specified window size for the chosen field (run_seconds or processed_rows), both derived entirely from the supplied data with no external lookups.","failureModes":["Fewer than 1 row submitted — minimum 1 row required","More than 200 rows submitted — exceeds maximum row limit","Window size larger than the number of submitted rows — trailing mean may have limited coverage","Invalid date format — must match YYYY-MM-DD pattern","Missing required fields (row_id, dataset_group, date, run_seconds, processed_rows) — request rejected","Null numeric values may affect mean calculation for affected windows"],"whenToPreferThis":"Choose this endpoint when you have pipeline duration records and need both a numeric ordering of rows and a rolling/trailing mean series computed locally from your supplied data — with no external data access, no prediction, and a low flat cost for up to 200 rows. Ideal for ETL monitoring, batch job performance review, or pipeline throughput analysis where you want smoothed trend visibility alongside ranked ordering.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T06:41:09.655Z","isFirstParty":false,"canonicalSlug":"pipeline-durations-numeric-row-ordering-trailing-mean-series-792123d1"}