{"uid":"cap_m6lBziwlIlxewu54vZUm8","slug":"pipeline-durations-numeric-interval-filter-base-100-series-c0117733","name":"Pipeline Durations — Numeric Interval Filter + Base-100 Series","description":"Pipeline durations — Numeric interval filter + Base-100 series: Numeric interval filter + Base-100 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-05-128?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"},"maximum":{"type":"number","default":100,"maximum":1000000000000,"minimum":-1000000000000},"minimum":{"type":"number","default":0,"maximum":1000000000000,"minimum":-1000000000000},"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_j1g7JaR1SKVNIznqHIJPi","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":"Filters pipeline duration records by a numeric interval and computes a Base-100 indexed series for run_seconds or processed_rows, returning two analytical reports for up to 200 supplied rows.","exampleAgentPrompt":"I have pipeline run records with run_seconds and processed_rows for the past month — can you filter to runs where run_seconds is between 10 and 500, and also build a Base-100 index series starting from row 0, all using my supplied data?","exampleUseCases":[{"title":"ETL run duration outlier filtering","prompt":"Here are my last 150 ETL pipeline runs with run_seconds and processed_rows — filter them to only rows where run_seconds is between 30 and 3600, and also give me a Base-100 series indexed from row 0 so I can see relative duration trends."},{"title":"Processed rows growth indexing","prompt":"I want to track growth in processed_rows across my pipeline runs relative to a baseline — can you filter to runs with processed_rows between 1000 and 50000 and generate a Base-100 index starting from row 5 using my supplied dataset?"},{"title":"Pipeline performance range validation","prompt":"Take these 80 pipeline run records and give me two reports: first filter to runs where run_seconds is between 0 and 120, and second build a Base-100 indexed series for run_seconds anchored to row 0 so I can spot performance drift over time."}],"resultDescription":"Returns two independent analytical reports for the supplied pipeline duration data: (1) records filtered to the specified numeric interval for the chosen field (run_seconds or processed_rows), and (2) a Base-100 indexed series for the chosen field relative to the specified base index row. Both reports are computed locally from the supplied data with no external lookups.","failureModes":["Fewer than 1 row supplied — request rejected","More than 200 rows supplied — exceeds maxItems limit","base_index out of range (0–199) relative to supplied rows","Invalid date format (must match YYYY-MM-DD)","Field value outside allowed numeric bounds (±1,000,000,000,000)","Missing required fields (row_id, dataset_group, date, run_seconds, processed_rows) on any row","Payment not included or insufficient — x402 payment required"],"whenToPreferThis":"Choose this endpoint when you have pipeline duration data (run_seconds, processed_rows) already in hand and need both an interval-filtered subset and a Base-100 normalized index series in one paid call. It is ideal for data engineers or analytics workflows that want to validate pipeline runs within a performance window and simultaneously produce relative trend indexes without any external data lookup or live data connection. Prefer it over general-purpose analytics tools when you want two specific report types — interval filter and base-100 series — delivered together at low cost for up to 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T06:41:02.438Z","isFirstParty":false,"canonicalSlug":"pipeline-durations-numeric-interval-filter-base-100-series-c0117733"}