{"uid":"cap_WScvQRbmHwo0K6mqJlcYO","slug":"data-ingestion-batches-string-normalisation-daily-sum-series-eebe84ad","name":"Data Ingestion Batches — String Normalisation + Daily Sum Series","description":"Data ingestion batches — String normalisation + Daily sum series: String normalisation + Daily sum series 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-01-027?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_B2hmM6htIDsCh2wQbUmCV","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":"Runs two local analytical reports on supplied data ingestion batch records: string normalisation and daily sum series for received_rows or accepted_rows fields.","exampleAgentPrompt":"Can you run string normalisation and a daily sum series on my ingestion batch records — here are 4 rows with row IDs row-1 through row-4, dataset groups group-a and group-b, dates from 2026-10-01 to 2026-10-04, received_rows values of 10, 20, 15, and 30, accepted_rows of 1, 2, 3, and 4 — and analyse the received_rows field?","exampleUseCases":[{"title":"Daily row acceptance trend for data pipeline","prompt":"I have a week's worth of ingestion batch records with received_rows and accepted_rows by date — can you compute a daily sum series for accepted_rows across all those records so I can see the trend over time?"},{"title":"Normalising dataset group labels in batch logs","prompt":"My ingestion batch logs have inconsistent dataset_group strings like 'Group-A', 'group_a', and 'GROUP A' — can you run string normalisation on these 50 rows so I can get a cleaned, standardised view?"},{"title":"QA report on received vs accepted rows by day","prompt":"I want to audit my data pipeline for the past month — I'll supply up to 150 batch records with dates, received_rows, and accepted_rows. Please give me both a string normalisation report and a daily sum series for received_rows so I can spot anomalies."}],"resultDescription":"Returns two analytical reports for up to 200 supplied rows: (1) a string normalisation report standardising text fields such as dataset_group, and (2) a daily sum series aggregating the selected numeric field (received_rows or accepted_rows) by date. All computation is performed locally with no external lookups or predictions.","failureModes":["Missing required fields (row_id, dataset_group, date, received_rows, accepted_rows) causes validation error","More than 200 rows submitted exceeds maxItems limit and is rejected","Invalid date format (not YYYY-MM-DD) triggers pattern validation failure","Numeric values outside ±1,000,000,000,000 range are rejected","Unrecognized field enum value (not 'received_rows' or 'accepted_rows') causes error","Empty rows array (minItems: 1 violated) returns error","Payment failure over x402 protocol blocks processing"],"whenToPreferThis":"Choose this endpoint when you need two quick local analytical reports — string normalisation and a daily sum series — on data ingestion batch records (up to 200 rows) without requiring any external data lookup, prediction, or live data source. It is well-suited for data engineering and ETL pipeline monitoring workflows where you want standardised group labels and date-aggregated row counts in a single cheap call ($0.01 USDC for both reports).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:46:35.197Z","isFirstParty":false,"canonicalSlug":"data-ingestion-batches-string-normalisation-daily-sum-series-eebe84ad"}