{"uid":"cap_NLz8MWJYOIK9NMBoFYiB1","slug":"data-ingestion-batches-numeric-interval-filter-equal-width-histogram-5af9b137","name":"Data Ingestion Batches — Numeric Interval Filter + Equal-Width Histogram","description":"Data ingestion batches — Numeric interval filter + Equal-width histogram: Numeric interval filter + Equal-width histogram 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-01-129?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"bins":{"type":"integer","default":5,"maximum":30,"minimum":1},"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_U3G81sUkQE8OjU2H63au3","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 and computes an equal-width histogram over up to 200 rows for either received_rows or accepted_rows.","exampleAgentPrompt":"Analyze my ingestion batch data — I have up to 50 records with row_id, dataset_group, date, received_rows, and accepted_rows. Filter by received_rows between 0 and 500, then generate an equal-width histogram with 10 bins over that field.","exampleUseCases":[{"title":"Pipeline volume distribution audit","prompt":"I've got 120 ingestion batch records for last month and I want to see how received_rows are distributed. Filter to batches where received_rows is between 100 and 50000, then give me a histogram with 8 bins so I can spot where the bulk of my pipeline volume falls."},{"title":"Accepted row range quality check","prompt":"Here are 80 ingestion batch rows — filter accepted_rows to only those between 0 and 10000, and build a 5-bin equal-width histogram on accepted_rows so I can see how acceptance rates cluster across batches."},{"title":"Outlier detection in ingestion batches","prompt":"I want to detect unusual spikes in my ingestion pipeline. Take these 200 batch records, filter received_rows between 1000 and 999999, and generate a 15-bin histogram on received_rows so I can visually identify outlier volume days."}],"resultDescription":"Returns two analytical reports on the supplied batch records: (1) a numeric interval filter showing which records fall within the specified minimum/maximum range for the chosen field, and (2) an equal-width histogram partitioning that field's values into the requested number of bins with frequency counts per bin. Both reports operate entirely on the supplied data with no external lookups.","failureModes":["Fewer than 1 or more than 200 rows supplied — rejected with validation error","bins value outside 1–30 range — schema validation failure","Invalid date format (not YYYY-MM-DD) in row data — rejected","minimum greater than maximum — may produce empty filter result or error","Missing required fields (row_id, dataset_group, date, received_rows, accepted_rows) in any row — validation error","Null values in the selected numeric field may reduce effective analysis population"],"whenToPreferThis":"Use this endpoint when you have up to 200 data ingestion batch records and need both a range-filtered view and a histogram distribution of row counts (received or accepted) in a single low-cost call. Prefer it over general analytics tools when working specifically with ingestion pipeline metrics and needing quick local statistical summaries without external data access. It bundles two reports for $0.01 USDC, making it highly cost-effective for lightweight batch analytics.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-21T00:52:33.707Z","isFirstParty":false,"canonicalSlug":"data-ingestion-batches-numeric-interval-filter-equal-width-histogram-5af9b137"}