{"uid":"cap_gPGoZk66_NFTE_bfqC6bq","slug":"pipeline-durations-category-frequencies-equal-width-histogram-12832559","name":"Pipeline Durations — Category Frequencies + Equal-Width Histogram","description":"Pipeline durations — Category frequencies + Equal-width histogram: Category frequencies + Equal-width histogram 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-05-106?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_eyUkVa1f_MW6tqjKa66vu","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":"Analyzes pipeline duration records by computing category frequencies for dataset_group and an equal-width histogram for a chosen numeric field (run_seconds or processed_rows)","exampleAgentPrompt":"Can you analyze these pipeline run records and give me both a category frequency breakdown by dataset_group and a 10-bin equal-width histogram for run_seconds? I have 50 rows covering Oct 2026.","exampleUseCases":[{"title":"Pipeline performance distribution audit","prompt":"I have 120 pipeline run records from last month — can you give me a 10-bin histogram of run_seconds and also show me how many runs belong to each dataset_group?"},{"title":"Processed rows frequency analysis","prompt":"Here are 80 pipeline duration records. Can you compute category frequencies by dataset_group and generate a 5-bin equal-width histogram on processed_rows so I can see how the workload is spread?"},{"title":"ETL duration anomaly investigation","prompt":"I'm trying to find bottlenecks in our ETL jobs. Can you take these 200 pipeline records and produce both a group frequency count by dataset_group and a 15-bin histogram of run_seconds to spot any outliers?"}],"resultDescription":"Returns two analytical reports: (1) category frequency counts for the dataset_group field showing how many records fall into each group, and (2) an equal-width histogram for the chosen numeric field (run_seconds or processed_rows) divided into the specified number of bins, including bin ranges and counts — all computed locally without external lookups.","failureModes":["Exceeds 200 row limit — request rejected","Missing required fields (row_id, dataset_group, date, run_seconds, processed_rows) cause validation errors","Invalid date format (not YYYY-MM-DD) triggers schema rejection","Bin count outside 1–30 range causes error","All null values for the chosen numeric field yields empty histogram","Malformed JSON or extra properties rejected due to additionalProperties:false"],"whenToPreferThis":"Choose this endpoint when you have pipeline execution records and need both a group-level frequency breakdown (by dataset_group) and a numeric distribution histogram (for run_seconds or processed_rows) in a single low-cost call. It is ideal for data engineering teams doing quick offline analysis of pipeline performance without needing a live database connection, prediction model, or external data source. Prefer it over generic stats endpoints when your data specifically contains pipeline duration fields (run_seconds, processed_rows).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T07:10:08.597Z","isFirstParty":false,"canonicalSlug":"pipeline-durations-category-frequencies-equal-width-histogram-12832559"}