{"uid":"cap_joXPvNnkLAa_HHNyrhu84","slug":"data-ingestion-batches-equal-width-histogram-date-by-category-pivot-2f1975d8","name":"Data Ingestion Batches — Equal-Width Histogram + Date by Category Pivot","description":"Data ingestion batches — Equal-width histogram + Date by category pivot: Equal-width histogram + Date by category pivot for supplied data ingestion batches records (received_rows, accepted_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-01-173?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","received_rows","accepted_rows"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"accepted_rows":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"dataset_group":{"type":"string","default":"","maxLength":80},"received_rows":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","accepted_rows":1,"dataset_group":"group-a","received_rows":10},{"date":"2026-10-02","row_id":"row-2","accepted_rows":2,"dataset_group":"group-b","received_rows":20},{"date":"2026-10-03","row_id":"row-3","accepted_rows":3,"dataset_group":"group-a","received_rows":15},{"date":"2026-10-04","row_id":"row-4","accepted_rows":4,"dataset_group":"group-b","received_rows":30}],"maxItems":200,"minItems":1},"field":{"enum":["received_rows","accepted_rows"],"type":"string","default":"received_rows"}}},"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_z9ohjmpFmxY_NBXuhSvt-","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 analytical reports (equal-width histogram and date-by-category pivot) for data ingestion batch records covering received_rows and accepted_rows fields.","exampleAgentPrompt":"Run a histogram and date-by-category pivot on these data ingestion batch records — use 10 bins and analyze the received_rows field: [{\"row_id\":\"row-1\",\"dataset_group\":\"group-a\",\"date\":\"2026-10-01\",\"received_rows\":10,\"accepted_rows\":1},{\"row_id\":\"row-2\",\"dataset_group\":\"group-b\",\"date\":\"2026-10-02\",\"received_rows\":20,\"accepted_rows\":2}].","exampleUseCases":[{"title":"ETL pipeline acceptance rate analysis","prompt":"Analyze the distribution of accepted_rows across my ETL pipeline batches using 8 bins, and also pivot the data by date and dataset group — here are the records: [{\"row_id\":\"b1\",\"dataset_group\":\"crm\",\"date\":\"2026-09-01\",\"received_rows\":5000,\"accepted_rows\":4800},{\"row_id\":\"b2\",\"dataset_group\":\"erp\",\"date\":\"2026-09-02\",\"received_rows\":3200,\"accepted_rows\":3000}]."},{"title":"Data quality monitoring across ingestion groups","prompt":"I want to see a histogram (5 bins) of received_rows and a pivot by date and dataset group for my ingestion batches to spot which groups are dropping rows — data: [{\"row_id\":\"ingest-001\",\"dataset_group\":\"sales\",\"date\":\"2026-10-10\",\"received_rows\":12000,\"accepted_rows\":11500},{\"row_id\":\"ingest-002\",\"dataset_group\":\"marketing\",\"date\":\"2026-10-11\",\"received_rows\":8000,\"accepted_rows\":6000}]."},{"title":"Daily ingestion volume distribution report","prompt":"Generate both a frequency histogram with 15 bins and a date-by-category pivot for these daily ingestion batch records focusing on received_rows: [{\"row_id\":\"d1\",\"dataset_group\":\"feeds\",\"date\":\"2026-11-01\",\"received_rows\":50000,\"accepted_rows\":49000},{\"row_id\":\"d2\",\"dataset_group\":\"events\",\"date\":\"2026-11-02\",\"received_rows\":75000,\"accepted_rows\":70000}]."}],"resultDescription":"Returns two independent analytical reports: (1) an equal-width histogram showing the frequency distribution of the selected numeric field (received_rows or accepted_rows) divided into up to 30 bins, and (2) a date-by-category pivot table aggregating values by date and dataset_group. Both reports are computed locally on the supplied data with no external lookups.","failureModes":["Empty rows array or missing required fields (row_id, dataset_group, date, received_rows, accepted_rows) returns validation error","More than 200 rows submitted exceeds the maxItems limit","Bin count outside 1–30 range rejected","Date strings not matching YYYY-MM-DD pattern fail validation","Null values in numeric fields may affect histogram bin calculations","Payment failure via x402 protocol blocks request execution"],"whenToPreferThis":"Choose this endpoint when you need two simultaneous statistical views of data ingestion batch metrics — a histogram for distribution analysis and a date-by-category pivot for temporal grouping — within a single low-cost call. Ideal for data engineers and pipeline operators who want quick, local analytics on up to 200 batch records without building custom reporting infrastructure. Prefer this over general-purpose analytics when your data specifically tracks received_rows and accepted_rows by dataset_group and date.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-21T00:52:34.779Z","isFirstParty":false,"canonicalSlug":"data-ingestion-batches-equal-width-histogram-date-by-category-pivot-2f1975d8"}