{"uid":"cap_Q1Ktafpxe_L58mhrLs9wN","slug":"data-ingestion-batches-numeric-distribution-row-ordering-analytics-46e5b8e6","name":"Data Ingestion Batches — Numeric Distribution & Row Ordering Analytics","description":"Data ingestion batches — Numeric distribution + Numeric row ordering: Numeric distribution + Numeric row ordering 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-01-073?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"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_4It-OOWu9NXNHAYzNL00C","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 up to 200 data ingestion batch records by computing numeric distribution statistics and row ordering reports for received_rows and accepted_rows fields.","exampleAgentPrompt":"Can you analyze the numeric distribution and row ordering of my data ingestion batches? I have records for received_rows across dataset groups A and B from October 2026 — here are up to 200 rows with row_id, date, dataset_group, received_rows, and accepted_rows fields.","exampleUseCases":[{"title":"ETL pipeline acceptance rate audit","prompt":"I have 50 data ingestion batch records from last month with received_rows and accepted_rows values per dataset group. Can you give me a numeric distribution report and a row ordering ranking for accepted_rows so I can see which batches had the worst acceptance rates?"},{"title":"Data quality monitoring across groups","prompt":"Here are 120 ingestion batch records across four dataset groups with their received_rows counts. Can you compute the numeric distribution and ordering report for received_rows so I can spot which groups are getting the most inconsistent data volumes?"},{"title":"Ingestion throughput trend analysis","prompt":"I've got a series of daily data ingestion batch rows from 2026-09-01 to 2026-11-30, each with a row_id, dataset_group, received_rows, and accepted_rows. Please run the numeric distribution and row ordering analysis on accepted_rows so I can understand our throughput patterns."}],"resultDescription":"Returns two independent analytical reports: (1) a numeric distribution report showing statistical spread (e.g. min, max, mean, percentiles) for the selected field (received_rows or accepted_rows), and (2) a numeric row ordering report ranking the supplied records by that field — all computed locally without external lookups, for up to 200 input rows.","failureModes":["Missing required fields (row_id, dataset_group, date, received_rows, accepted_rows) cause validation errors","More than 200 rows submitted exceeds the maxItems limit","Invalid date format (non-YYYY-MM-DD) fails pattern validation","Null values in the selected numeric field may affect distribution calculations","Invalid field enum value (anything other than received_rows or accepted_rows) causes rejection","Empty rows array (minItems:1 violated) returns an error"],"whenToPreferThis":"Choose this endpoint when you have structured data ingestion batch records (up to 200 rows) and need both a statistical distribution view and a ranked ordering of records for either received_rows or accepted_rows — particularly useful for ETL pipeline monitoring, data quality audits, and batch throughput analysis. It delivers two reports for $0.01 USDC using local analytical engines with no external dependencies.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:46:40.768Z","isFirstParty":false,"canonicalSlug":"data-ingestion-batches-numeric-distribution-row-ordering-analytics-46e5b8e6"}