{"uid":"cap_SByE7BhoNtYt9pNssBlen","slug":"data-ingestion-batches-numeric-interval-filter-date-by-category-pivot-39be4740","name":"Data Ingestion Batches — Numeric Interval Filter + Date by Category Pivot","description":"Data ingestion batches — Numeric interval filter + Date by category pivot: Numeric interval filter + 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-01-133?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_c2fMMUbu7NgWnB-Hhm9Jn","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 range and produces a date-by-category pivot table for received_rows or accepted_rows, returning two analytical reports for up to 200 rows.","exampleAgentPrompt":"I have ingestion batch records for two groups — 'pipeline-a' and 'pipeline-b' — across the past week. Can you filter them to only show rows where received_rows is between 10 and 500, and also give me a pivot of accepted_rows broken down by date and dataset group?","exampleUseCases":[{"title":"Spotting low-acceptance ingestion windows","prompt":"Here are my daily ingestion batches for October — can you filter to only the records where accepted_rows is between 0 and 50, and also pivot accepted_rows by date and dataset group so I can see which groups had the worst acceptance rates?"},{"title":"Monitoring high-volume batch days","prompt":"I've got 150 rows of ingestion batch data across three dataset groups. Filter them to received_rows between 5000 and 50000, and give me a date-by-group pivot for received_rows so I can spot which days had the heaviest loads."},{"title":"QA report on recent data pipeline runs","prompt":"Run two reports on these ingestion batch records: first filter to rows where received_rows is between 1 and 200, then pivot accepted_rows by date and dataset_group — I want to QA our pipeline's acceptance rate for last week."}],"resultDescription":"Returns two analytical reports: (1) a filtered list of ingestion batch rows where the chosen numeric field (received_rows or accepted_rows) falls within the specified minimum–maximum interval, and (2) a pivot table cross-tabulating dates against dataset_group categories for the chosen measure. Both reports are computed locally from the supplied data without any external lookups.","failureModes":["Fewer than 1 row or more than 200 rows submitted — request rejected","Missing required fields (row_id, dataset_group, date, received_rows, accepted_rows) — validation error","Date field not matching YYYY-MM-DD pattern — schema validation failure","Numeric values outside ±1,000,000,000,000 range — schema rejection","Invalid field enum value (must be 'received_rows' or 'accepted_rows') — error response","minimum greater than maximum — may return empty filter results"],"whenToPreferThis":"Choose this endpoint when you have up to 200 data ingestion batch records with received_rows and accepted_rows metrics and need both a numeric range filter and a date-by-category pivot in a single low-cost call ($0.01 USDC). Prefer it over general-purpose analytics when your data fits the exact schema (row_id, dataset_group, date, received_rows, accepted_rows) and you want two complementary views — interval filtering plus pivot — without setting up external analytics infrastructure.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-17T00:46:32.074Z","isFirstParty":false,"canonicalSlug":"data-ingestion-batches-numeric-interval-filter-date-by-category-pivot-39be4740"}