{"uid":"cap_oTEFBK2LHTN4c63VUzvHq","slug":"pipeline-durations-analytics-grouped-summary-base-100-series-adcdfd75","name":"Pipeline Durations Analytics — Grouped Summary & Base-100 Series","description":"Pipeline durations — Grouped numeric summary + Base-100 series: Grouped numeric summary + 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-05-092?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_awwt608qi9QXU-kQloU0u","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 grouped numeric summary and a base-100 index series for supplied pipeline duration records (run_seconds, processed_rows) across up to 200 rows.","exampleAgentPrompt":"Analyze my pipeline run data — I have 4 records with run_seconds and processed_rows across two groups (group-a and group-b) from October 2026, and I want both a grouped numeric summary and a base-100 index series starting from row index 0, using run_seconds as the field.","exampleUseCases":[{"title":"ETL pipeline performance benchmarking","prompt":"I have 50 pipeline run records from last month with run_seconds and processed_rows split across 3 dataset groups — can you give me a grouped summary and a base-100 index series anchored to the first row so I can see which groups are running slower than baseline?"},{"title":"Data team throughput reporting","prompt":"Generate a grouped numeric summary and base-100 series for my team's daily pipeline logs — I'll send you 120 rows with date, group name, run_seconds and processed_rows, and I want to analyze processed_rows starting from index 0."},{"title":"Anomaly detection prep for slow pipelines","prompt":"I want to spot which pipeline groups are taking unusually long — send my 80 records of run duration data through a grouped stats summary and base-100 index on run_seconds, using row index 0 as the baseline."}],"resultDescription":"Returns two independent analytical reports: (1) a grouped numeric summary with descriptive statistics (e.g. mean, min, max, count) per dataset_group for the chosen field, and (2) a base-100 index series where each row's value is expressed relative to the chosen baseline row, both computed locally on the supplied data without any external lookup.","failureModes":["Fewer than 1 row or more than 200 rows supplied returns a validation error","Missing required fields (row_id, dataset_group, date, run_seconds, processed_rows) cause rejection","Invalid date format (not YYYY-MM-DD) causes schema validation failure","base_index out of range 0–199 or beyond the number of supplied rows causes an error","Null values in the selected field may be excluded from or affect summary statistics"],"whenToPreferThis":"Choose this endpoint when you have up to 200 pipeline duration records with group labels and want both a grouped descriptive summary and a base-100 normalized index series in a single call for $0.01 USDC. Prefer it over general-purpose analytics when your data fits the pipeline durations schema (run_seconds, processed_rows) and you need two complementary views — absolute grouped stats and relative indexed trends — without setting up a data warehouse or BI tool.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-16T06:54:40.230Z","isFirstParty":false,"canonicalSlug":"pipeline-durations-analytics-grouped-summary-base-100-series-adcdfd75"}