{"uid":"cap_C6OKvaItiLbFmJWZARX2w","slug":"data-ingestion-batches-numeric-distribution-adjacent-row-changes-82290591","name":"Data Ingestion Batches — Numeric Distribution & Adjacent Row Changes","description":"Data ingestion batches — Numeric distribution + Adjacent row changes: Numeric distribution + Adjacent row changes 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-01-077?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_7Xe4xAuVWUqq-k4qWWWqp","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 data ingestion batch records to produce a numeric distribution report and an adjacent row changes report for received_rows or accepted_rows fields.","exampleAgentPrompt":"Can you run a numeric distribution and adjacent row changes analysis on my ingestion batch records — here are up to 50 rows with row_id, dataset_group, date, received_rows, and accepted_rows — analyze the accepted_rows field?","exampleUseCases":[{"title":"ETL pipeline acceptance rate audit","prompt":"I have 120 rows of daily ingestion batch data with received_rows and accepted_rows per dataset group — can you run a numeric distribution and adjacent row changes report on the received_rows field so I can see how throughput varies day to day?"},{"title":"Spotting ingestion anomalies between batches","prompt":"Run an adjacent row changes analysis on my ingestion batch records for the last 30 days — I want to see where accepted_rows jumped or dropped significantly between consecutive rows."},{"title":"Dataset group comparison via distribution","prompt":"Here are 80 ingestion batch records across two dataset groups — give me the numeric distribution report on accepted_rows so I can compare how each group's acceptance counts are spread."}],"resultDescription":"Returns two analytical reports: (1) a numeric distribution summary (min, max, mean, percentiles, histogram buckets, etc.) for the chosen field (received_rows or accepted_rows) across all supplied rows, and (2) an adjacent row changes report showing delta values between consecutive rows for the same field — all computed locally with no external lookups.","failureModes":["Fewer than 1 row or more than 200 rows submitted — rejected with validation error","Missing required fields (row_id, dataset_group, date, received_rows, accepted_rows) on any row — validation error","Invalid date format (not YYYY-MM-DD) — schema validation failure","Numeric values outside ±1,000,000,000,000 range — rejected","Invalid field selector (not 'received_rows' or 'accepted_rows') — enum validation error","Payment not provided or insufficient — x402 payment required error"],"whenToPreferThis":"Choose this endpoint when you have up to 200 data ingestion batch records and need both a numeric distribution breakdown and a consecutive-row delta analysis in a single cheap call ($0.01 USDC). Ideal for ETL monitoring, pipeline QA, and batch acceptance rate audits where you already have the data locally and don't need live data fetching or predictive modeling.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:46:36.932Z","isFirstParty":false,"canonicalSlug":"data-ingestion-batches-numeric-distribution-adjacent-row-changes-82290591"}