{"uid":"cap_hON7scoj_zTPkgWxsu2wK","slug":"data-ingestion-batches-record-quality-audit-string-normalisation-b25f4647","name":"Data Ingestion Batches — Record Quality Audit + String Normalisation + Daily Sum Series","description":"Data ingestion batches — Record quality audit + String normalisation + Daily sum series: Record quality audit + String normalisation + Daily sum series for supplied data ingestion batches records (received_rows, accepted_rows). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-analytics-01-198?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_7Vt-WOI2veDdIR_wV1bUk","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 three analytical reports on data ingestion batch records: a record quality audit, string normalisation, and a daily sum series for received_rows or accepted_rows fields.","exampleAgentPrompt":"Can you run the record quality audit, string normalisation, and daily sum series reports on my data ingestion batch records — I have up to 50 rows with received_rows and accepted_rows per date and dataset_group, and I want the daily sums for accepted_rows?","exampleUseCases":[{"title":"Pipeline data quality health check","prompt":"I have 80 rows of data ingestion batch records with received_rows and accepted_rows for each date and dataset group — can you run a record quality audit, string normalisation, and daily sum series on them so I can see where data is being dropped?"},{"title":"Daily accepted row aggregation by group","prompt":"Can you compute the daily sum series for accepted_rows across my ingestion batch records? I've got rows covering the past two weeks split across three dataset groups and I need to spot daily trends."},{"title":"Pre-migration batch data cleanse","prompt":"Before I migrate my ingestion pipeline data, can you run string normalisation and a quality audit on my 150-row batch dataset that has received_rows, accepted_rows, date, and dataset_group fields?"}],"resultDescription":"Returns three independent analytical reports: (1) a record quality audit highlighting issues in the supplied batch rows, (2) a string normalisation report cleaning text fields such as dataset_group, and (3) a daily sum series aggregating either received_rows or accepted_rows by date — all computed locally without external lookups.","failureModes":["Exceeding 200 rows returns a validation error","Missing required fields (row_id, dataset_group, date, received_rows, accepted_rows) causes rejection","Invalid date format (not YYYY-MM-DD) fails schema validation","Numeric values outside ±1,000,000,000,000 are rejected","Invalid field enum value (not 'received_rows' or 'accepted_rows') causes an error","Empty rows array is rejected"],"whenToPreferThis":"Choose this endpoint when you need three bundled analytical reports — quality audit, string normalisation, and daily sum series — on up to 200 ingestion batch records in a single low-cost call. It is ideal for data engineers monitoring ETL pipeline health or cleaning batch records without external dependencies or live data lookups.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-18T00:41:53.234Z","isFirstParty":false,"canonicalSlug":"data-ingestion-batches-record-quality-audit-string-normalisation-b25f4647"}