{"uid":"cap_u1NqDoFHqM8uJD9SaPLH_","slug":"data-ingestion-batches-numeric-row-ordering-date-by-category-pivot-a07102d6","name":"Data Ingestion Batches — Numeric Row Ordering + Date by Category Pivot","description":"Data ingestion batches — Numeric row ordering + Date by category pivot: Numeric row ordering + 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-01-122?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_IHU1lWm6z-jCQhsu-JRXV","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":"Produces two analytical reports for data ingestion batch records: a numeric row ordering and a date-by-category pivot, for up to 200 rows of received/accepted row counts.","exampleAgentPrompt":"I have ingestion batch records with received_rows and accepted_rows across multiple dataset groups and dates — can you rank the rows numerically by received_rows and also give me a date-by-category pivot for those same records? Here's the data: row-1 on 2026-10-01 for group-a had 10 received and 1 accepted, row-2 on 2026-10-02 for group-b had 20 received and 2 accepted.","exampleUseCases":[{"title":"Pipeline acceptance rate audit by group","prompt":"I want to audit my ingestion pipeline — here are 50 batch records with dataset_group, date, received_rows, and accepted_rows. Can you rank them numerically by accepted_rows and also pivot the data by date and dataset group so I can spot which groups are underperforming?"},{"title":"Daily ingestion volume trend by category","prompt":"I have daily ingestion batch logs for the past month across 4 dataset groups. Can you give me a numeric ordering of the rows by received_rows and a date-by-category pivot so I can see volume trends over time per group?"},{"title":"QA report for new data source onboarding","prompt":"We just onboarded a new data source and collected 80 batch ingestion records. Please rank them by accepted_rows and produce a date-by-category pivot using dataset_group and date — I want to validate the data is landing correctly across groups."}],"resultDescription":"Two analytical reports delivered together: (1) a numeric row ordering of the supplied ingestion batch records ranked by the chosen field (received_rows or accepted_rows), and (2) a date-by-category pivot table showing values broken down by date and dataset_group. Both reports operate entirely on the supplied data with no external lookups.","failureModes":["Fewer than 1 row supplied — minimum 1 row required","More than 200 rows supplied — maximum is 200 rows per call","Invalid date format (must match YYYY-MM-DD pattern)","Missing required fields: row_id, dataset_group, date, received_rows, or accepted_rows","Numeric values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000)","Invalid field enum value (must be 'received_rows' or 'accepted_rows')","Payment not completed — endpoint requires 0.01 USDC via x402 protocol"],"whenToPreferThis":"Choose this endpoint when you need both a ranked ordering and a date-by-category pivot for data ingestion batch records (received_rows, accepted_rows) in a single low-cost call. It is ideal for ETL pipeline monitoring, data quality audits, and batch acceptance analysis where all data is supplied by the caller and no external data sources or predictions are needed. It covers up to 200 rows per call for $0.01 USDC.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-16T18:48:28.676Z","isFirstParty":false,"canonicalSlug":"data-ingestion-batches-numeric-row-ordering-date-by-category-pivot-a07102d6"}