{"uid":"cap_m1Q43lrcL-8yugv7sRCtg","slug":"data-ingestion-batches-numeric-distribution-numeric-interval-filter-93e9a4bb","name":"Data Ingestion Batches — Numeric Distribution + Numeric Interval Filter","description":"Data ingestion batches — Numeric distribution + Numeric interval filter: Numeric distribution + Numeric interval filter 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-01-074?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_1ZOE99T8ckPOgGHEuclOC","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":"Computes numeric distribution statistics and applies a numeric interval filter on received_rows and accepted_rows fields across up to 200 data ingestion batch records.","exampleAgentPrompt":"Can you analyze the numeric distribution of received_rows and also filter to rows where received_rows is between 10 and 500 for these ingestion batch records: row-1 on 2026-10-01 for group-a with 10 received and 1 accepted, row-2 on 2026-10-02 for group-b with 20 received and 2 accepted?","exampleUseCases":[{"title":"Pipeline volume distribution analysis","prompt":"I have 50 ingestion batch records across several dataset groups — can you give me a numeric distribution breakdown of received_rows and also show me which records fall between 100 and 5000 received_rows? Here's the data: [row-1, 2026-11-01, group-a, 150 received, 140 accepted], [row-2, 2026-11-02, group-b, 4500 received, 4200 accepted]..."},{"title":"Acceptance rate interval filtering","prompt":"From my ingestion batch logs, I want to see the distribution of accepted_rows and only keep records where accepted_rows is between 50 and 300. The dataset has entries like row-A on 2026-09-15 for pipeline-alpha with 200 received and 180 accepted, row-B on 2026-09-16 for pipeline-beta with 90 received and 60 accepted."},{"title":"Data loss spike investigation","prompt":"I need to investigate my data ingestion batches — can you run a numeric distribution on received_rows and filter to batches where received_rows falls between 1000 and 50000 so I can spot anomalies? Batches include: ingest-001 on 2026-10-10 for dataset-x with 12000 received and 9800 accepted, ingest-002 on 2026-10-11 for dataset-y with 300 received and 295 accepted."}],"resultDescription":"Returns two analytical reports derived from the submitted batch rows: (1) a numeric distribution breakdown of the selected field (received_rows or accepted_rows), showing how values are spread across the dataset; and (2) a numeric interval filter listing which rows fall within the specified minimum–maximum range. Results are computed locally with no external lookups.","failureModes":["Submitting more than 200 rows returns an error or truncates input","Missing required fields (row_id, date, received_rows, accepted_rows) cause validation failure","Dates not matching YYYY-MM-DD pattern are rejected","Minimum value greater than maximum value may produce empty interval filter results","Null numeric values for the selected field may be excluded from distribution calculations","Payment failure (x402) blocks access to the endpoint"],"whenToPreferThis":"Choose this endpoint when you have up to 200 data ingestion batch records and need both a numeric distribution summary and an interval-based filter on received_rows or accepted_rows in a single $0.01 call. Ideal for lightweight ETL pipeline monitoring, data quality spot-checks, and volume anomaly investigation without needing a full analytics platform. Not suitable for more than 200 rows, live streaming data, or analyses requiring more than two report types.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-11T12:48:41.666Z","isFirstParty":false,"canonicalSlug":"data-ingestion-batches-numeric-distribution-numeric-interval-filter-93e9a4bb"}