{"uid":"cap_0sO217cRJVUDBV3mM6wfe","slug":"pipeline-durations-analytics-string-normalisation-grouped-numeric-959dae85","name":"Pipeline Durations Analytics — String Normalisation + Grouped Numeric Summary","description":"Pipeline durations — String normalisation + Grouped numeric summary: String normalisation + Grouped numeric summary 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-05-023?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"}}},"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_REweVsTM39LXgW-Vlz48I","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":"Normalises string fields and produces a grouped numeric summary report for up to 200 pipeline duration records covering run_seconds and processed_rows.","exampleAgentPrompt":"I have 4 pipeline run records — row-1 on 2026-10-01 in group-a took 10 seconds and processed 1 row, row-2 on 2026-10-02 in group-b took 20 seconds and 2 rows, row-3 on 2026-10-03 in group-a took 15 seconds and 3 rows, row-4 on 2026-10-04 in group-b took 30 seconds and 4 rows — can you run a string normalisation and grouped numeric summary on the run_seconds field for me?","exampleUseCases":[{"title":"ETL pipeline performance review","prompt":"Here are 50 ETL pipeline run records with dataset_group, date, run_seconds, and processed_rows — please normalise the group label strings and give me a grouped numeric summary of run_seconds so I can see which groups are slowest."},{"title":"Batch job throughput analysis","prompt":"I've got 120 pipeline execution logs across 6 dataset groups from last month. Can you run the string normalisation and grouped numeric summary on processed_rows so I can compare throughput by group?"},{"title":"Data quality check on pipeline logs","prompt":"Before I feed these pipeline timing records into a dashboard, can you normalise the string fields and produce a grouped summary of run_seconds for these 30 records grouped by dataset_group?"}],"resultDescription":"Returns two structured reports: (1) a string normalisation report cleaning and standardising text fields such as dataset_group, and (2) a grouped numeric summary with descriptive statistics (e.g. count, mean, min, max) for the selected numeric field (run_seconds or processed_rows) broken down by dataset_group — all computed locally without any external lookup or prediction.","failureModes":["Exceeds 200-row limit — request is rejected","Missing required fields (row_id, dataset_group, date, run_seconds, processed_rows) — validation error","Invalid date format (not YYYY-MM-DD) — schema validation failure","Numeric values outside allowed range (±1,000,000,000,000) — rejected","Empty rows array — minimum 1 item required","Invalid field enum value — must be run_seconds or processed_rows"],"whenToPreferThis":"Choose this endpoint when you have up to 200 pipeline duration records and need both a string normalisation pass and a grouped numeric summary in a single low-cost call ($0.01 USDC). It is ideal for local, offline-style analytics on batch pipeline logs where no external lookups, predictions, or live data are needed. Prefer it over general-purpose analytics services when your data already contains dataset_group and timing fields in the expected schema.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-16T06:53:57.287Z","isFirstParty":false,"canonicalSlug":"pipeline-durations-analytics-string-normalisation-grouped-numeric-959dae85"}