{"uid":"cap_sMNqrChCa1uOcQp8POEnS","slug":"data-ingestion-batches-string-normalisation-grouped-numeric-summary-3bd17f5c","name":"Data Ingestion Batches — String Normalisation + Grouped Numeric Summary","description":"Data ingestion batches — String normalisation + Grouped numeric summary: String normalisation + Grouped numeric summary 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-01-023?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_2KFN3N139lAxmmt2WSOqa","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":"Normalises string fields and produces a grouped numeric summary for up to 200 data ingestion batch records (received_rows, accepted_rows) in two independent analytical reports.","exampleAgentPrompt":"Can you normalise the dataset group names and give me a grouped numeric summary for my ingestion batch records? I have 4 rows: row-1 on 2026-10-01 with group-a, received_rows=10, accepted_rows=1; row-2 on 2026-10-02 with group-b, received_rows=20, accepted_rows=2; row-3 on 2026-10-03 with group-a, received_rows=15, accepted_rows=3; row-4 on 2026-10-04 with group-b, received_rows=30, accepted_rows=4 — analyse the received_rows field.","exampleUseCases":[{"title":"Daily pipeline acceptance rate audit","prompt":"Here are yesterday's ingestion batch records across four dataset groups — can you normalise the group names and give me a grouped summary of how many rows were received vs accepted for each group? I want to analyse the accepted_rows field. Rows: row-1, 2026-10-01, group-a, received=500, accepted=480; row-2, 2026-10-01, group-b, received=300, accepted=210; row-3, 2026-10-02, group-a, received=400, accepted=395; row-4, 2026-10-02, group-b, received=250, accepted=200."},{"title":"Weekly ingestion volume comparison","prompt":"I have a week's worth of ingestion batch data across two dataset groups and I want a grouped numeric summary of received_rows so I can see which group is processing the most volume. Can you also normalise the group name strings? Here are the rows: row-1 through row-7 dated 2026-10-01 to 2026-10-07, alternating between group-alpha and group-beta, with received_rows ranging from 1000 to 5000 and accepted_rows around 90% of received."},{"title":"Data quality monitoring by group","prompt":"Can you run string normalisation and a grouped numeric summary on these 6 ingestion batch records so I can spot which dataset groups have the worst acceptance rates? I want to focus on the accepted_rows field. Records span 2026-10-01 to 2026-10-06, groups are dataset-A, Dataset-A, and dataset-B with varying received and accepted counts."}],"resultDescription":"Returns two independent analytical reports: (1) a string normalisation report for the dataset_group and related text fields, and (2) a grouped numeric summary (e.g. count, sum, mean, min, max) of the selected numeric field (received_rows or accepted_rows) broken down by dataset_group — all computed locally from the supplied rows, with no external lookups.","failureModes":["More than 200 rows supplied — request rejected due to maxItems constraint","Missing required fields (row_id, dataset_group, date, received_rows, accepted_rows) — validation error","Date field does not match YYYY-MM-DD pattern — schema validation failure","Numeric values outside the allowed range (±1,000,000,000,000) — validation error","Empty rows array (minItems: 1 not met) — request rejected","Invalid field enum value (must be 'received_rows' or 'accepted_rows') — schema error"],"whenToPreferThis":"Choose this endpoint when you need both string normalisation and grouped numeric aggregation on data ingestion batch records in a single low-cost call. It is ideal for pipeline monitoring, acceptance rate audits, and quick data-quality checks on batches of up to 200 rows, without requiring any external database, live lookup, or prediction service. The flat $0.01 USDC price covers both reports simultaneously, making it cost-effective compared to calling two separate analytical services.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-18T00:58:26.738Z","isFirstParty":false,"canonicalSlug":"data-ingestion-batches-string-normalisation-grouped-numeric-summary-3bd17f5c"}