{"uid":"cap_iWcJYCyyozCUyA3v7VNeE","slug":"data-ingestion-batches-numeric-interval-filter-adjacent-row-changes-6a70e2be","name":"Data Ingestion Batches — Numeric Interval Filter + Adjacent Row Changes","description":"Data ingestion batches — Numeric interval filter + Adjacent row changes: Numeric interval filter + 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-01-127?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"},"maximum":{"type":"number","default":100,"maximum":1000000000000,"minimum":-1000000000000},"minimum":{"type":"number","default":0,"maximum":1000000000000,"minimum":-1000000000000}}},"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_3Xr-LOxwNcpZp2Jf4BjDZ","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":"Filters data ingestion batch records by a numeric interval on received_rows or accepted_rows, and identifies adjacent row changes, returning two analytical reports for up to 200 rows.","exampleAgentPrompt":"Take my ingestion batch records and give me two reports: first, filter by received_rows between 10 and 500, and second, show me adjacent row changes — here are the rows: group-a on 2026-10-01 had row-1 with 10 received and 1 accepted, group-b on 2026-10-02 had row-2 with 20 received and 2 accepted.","exampleUseCases":[{"title":"ETL pipeline acceptance rate anomaly detection","prompt":"I have 150 ingestion batch records across multiple dataset groups — can you filter the ones where accepted_rows falls between 100 and 5000, and also flag any adjacent rows where the value changes significantly? The field I care about is accepted_rows."},{"title":"Monitoring received row volume within expected range","prompt":"Here are my daily ingestion batch records for the past month — filter them so I only see rows where received_rows is between 500 and 10000, and also show me where adjacent rows shift up or down. Use received_rows as the target field."},{"title":"Dataset group ingestion audit","prompt":"I need two quick reports on my ingestion batch data: which rows have received_rows values between 0 and 200, and where are the adjacent row-to-row changes? I'll supply the rows with their row_ids, dataset groups, and dates."}],"resultDescription":"Returns two analytical reports: (1) rows from the supplied ingestion batch dataset where the chosen numeric field (received_rows or accepted_rows) falls within the specified minimum–maximum interval, and (2) a detection of adjacent row-to-row changes in that field across the dataset. Both reports are computed locally from the supplied data with no external lookups.","failureModes":["Fewer than 1 or more than 200 rows submitted — request rejected","Missing required fields (row_id, dataset_group, date, received_rows, accepted_rows) on any row — validation error","Date format not matching YYYY-MM-DD pattern — schema validation failure","Numeric values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000) — rejected","Invalid field enum value (not received_rows or accepted_rows) — schema error","Payment not processed — x402 payment required response"],"whenToPreferThis":"Choose this endpoint when you have up to 200 data ingestion batch records and need both a numeric interval filter and adjacent row change detection on received_rows or accepted_rows in a single low-cost call. Ideal for ETL monitoring, batch pipeline audits, or data quality checks where you want two complementary views of the same dataset without external lookups or live data access.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-17T00:47:27.693Z","isFirstParty":false,"canonicalSlug":"data-ingestion-batches-numeric-interval-filter-adjacent-row-changes-6a70e2be"}