{"uid":"cap_0pV97MfI3yQ-G3l-oWjKf","slug":"pipeline-durations-analytics-equal-width-histogram-date-by-category-0c0b29fd","name":"Pipeline Durations Analytics — Equal-Width Histogram & Date-by-Category Pivot","description":"Pipeline durations — Equal-width histogram + Date by category pivot: Equal-width histogram + Date by category pivot 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-05-173?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"bins":{"type":"integer","default":5,"maximum":30,"minimum":1},"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_FjGZdgcV8aP1NDD8iUOZx","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":"Generates two local analytical reports on pipeline duration data: an equal-width histogram of a chosen numeric field and a date-by-category pivot table, both computed server-side from supplied rows without any external data lookup.","exampleAgentPrompt":"Analyze my pipeline run data — I have 120 rows with run_seconds and processed_rows, each tagged with a dataset_group and a date. Give me a 10-bin equal-width histogram on run_seconds plus a date-by-category pivot, all in one call.","exampleUseCases":[{"title":"ETL job duration distribution audit","prompt":"I have logs from our nightly ETL jobs — about 150 rows each with a run_seconds value, a dataset_group label, and a date. Can you build a 10-bin histogram of run_seconds and also pivot the data by date and dataset_group so I can see patterns?"},{"title":"Processed rows spread across pipeline groups","prompt":"Here are 80 pipeline run records with processed_rows counts across two dataset groups over the last month. Generate a 5-bin equal-width histogram on processed_rows and a date-by-category pivot so I can see which groups processed the most on each day."},{"title":"Pipeline performance comparison for sprint review","prompt":"I'm preparing for our sprint review and need to summarize pipeline performance. I have 60 records with run_seconds and dataset_group labels. Can you compute an 8-bin histogram of run_seconds and pivot them by date and group so the team can spot slow days?"}],"resultDescription":"Returns two reports computed from the supplied rows: (1) an equal-width histogram breaking the selected numeric field (run_seconds or processed_rows) into up to 30 bins with frequency counts per bin, and (2) a date-by-category pivot table aggregating values across dataset_group and date dimensions. Both reports use only the submitted data with no external lookups.","failureModes":["Rows array exceeds 200-item limit — request rejected","Invalid date format (not YYYY-MM-DD) in any row — validation error","bins value outside 1–30 range — rejected","Null values in selected numeric field may affect histogram accuracy","Missing required fields (row_id, dataset_group, date) in any row — schema validation error","Numeric values outside ±1e12 range — rejected"],"whenToPreferThis":"Choose this endpoint when you have up to 200 pipeline run records and need both a distribution histogram and a date-by-category pivot in a single low-cost call ($0.01 USDC). It is ideal for data engineers who want quick offline statistical summaries without setting up a BI tool, and when no live data lookup or prediction is required — only supplied-data analytics.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-18T00:58:16.555Z","isFirstParty":false,"canonicalSlug":"pipeline-durations-analytics-equal-width-histogram-date-by-category-0c0b29fd"}