{"uid":"cap_hJjygR8CEq4AK5mrJpPGf","slug":"data-ingestion-batches-string-normalisation-duplicate-key-report-e821d468","name":"Data Ingestion Batches — String Normalisation + Duplicate Key Report","description":"Data ingestion batches — String normalisation + Duplicate key report: String normalisation + Duplicate key report 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-01-021?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}}},"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_slX90TNWg6wV-Nndh3MXZ","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":"Analyzes up to 200 data ingestion batch records to produce two independent reports: string normalization and duplicate key detection.","exampleAgentPrompt":"Can you run a string normalization check and duplicate key report on my ingestion batch data? I have records for dataset groups 'group-a' and 'group-b' with dates from 2026-10-01 to 2026-10-04 and row IDs like 'row-1' through 'row-4', with received and accepted row counts.","exampleUseCases":[{"title":"ETL pipeline duplicate key audit","prompt":"I need to check my ETL batch logs for duplicate row IDs — I have about 150 records across three dataset groups from October 2026, each with a row_id, dataset_group, date, received_rows, and accepted_rows. Can you run a duplicate key report on all of them?"},{"title":"Dataset group string normalization","prompt":"My ingestion batch records have inconsistent formatting in the dataset_group and row_id fields across 80 rows. Can you run a string normalization report on them so I can see what needs to be cleaned up?"},{"title":"Daily ingestion batch QA check","prompt":"Run both a string normalization check and a duplicate key scan on today's ingestion batch — I've got 50 rows with row IDs, dataset groups, dates in YYYY-MM-DD format, and received and accepted row counts that I want audited."}],"resultDescription":"Returns two independent analytical reports: (1) a string normalization report identifying formatting issues, inconsistencies, or normalization suggestions across string fields such as row_id and dataset_group; and (2) a duplicate key report flagging any repeated or conflicting key values across the supplied batch records. No external lookups or live data are involved — analysis is performed locally on the supplied rows.","failureModes":["Batch exceeds 200 rows — request rejected with validation error","Missing required fields (row_id, dataset_group, date, received_rows, accepted_rows) — row rejected","Date field not matching YYYY-MM-DD pattern — validation error","Numeric fields outside allowed range (-1,000,000,000,000 to 1,000,000,000,000) — validation error","Empty rows array — request rejected","Payment failure — endpoint returns 402 status"],"whenToPreferThis":"Choose this endpoint when you need lightweight, offline analytical reporting on data ingestion batch records specifically — covering both string normalization and duplicate key detection in a single call for up to 200 rows. Prefer it over general-purpose data quality tools when your data is already structured with row_id, dataset_group, date, received_rows, and accepted_rows fields and you want two bundled reports for a flat $0.01 cost without external lookups or side effects.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-18T00:58:25.628Z","isFirstParty":false,"canonicalSlug":"data-ingestion-batches-string-normalisation-duplicate-key-report-e821d468"}