{"uid":"cap_7GmKgsCpy5zZGyLBc_BgH","slug":"data-ingestion-batches-record-quality-audit-string-normalisation-7214bd50","name":"Data Ingestion Batches — Record Quality Audit + String Normalisation + Numeric Distribution","description":"Data ingestion batches — Record quality audit + String normalisation + Numeric distribution: Record quality audit + String normalisation + Numeric distribution 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-01-193?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_ZpSQb1_lrq2By3XrQIkZO","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 (record quality audit, string normalisation, and numeric distribution) on up to 200 data ingestion batch rows containing received_rows and accepted_rows metrics.","exampleAgentPrompt":"Can you run a record quality audit, string normalisation, and numeric distribution analysis on my ingestion batch data — I have up to 50 rows with dataset_group, date, received_rows, and accepted_rows fields — and use the received_rows field for the numeric report?","exampleUseCases":[{"title":"ETL pipeline quality check","prompt":"I have a set of daily ingestion batch records from our data pipeline — about 80 rows with dataset group labels, dates, and received vs accepted row counts — can you run the record quality audit and numeric distribution report on the received_rows field to flag any data quality issues?"},{"title":"Acceptance rate string and distribution profiling","prompt":"Here are 120 ingestion batch records from last quarter across groups A, B, and C with their received_rows and accepted_rows. Can you run all three reports — quality audit, string normalisation on the dataset_group field, and numeric distribution on accepted_rows — so I can understand the data health?"},{"title":"Pre-migration batch data validation","prompt":"Before we migrate our ingestion logs, I need a quality audit and string normalisation check on these 40 batch records covering October 2026. The rows include dataset_group names and daily received_rows and accepted_rows counts — can you produce the three analytical reports?"}],"resultDescription":"Returns three independent analytical reports for the submitted batch rows: (1) a record quality audit highlighting completeness, nulls, and anomalies; (2) a string normalisation report on text fields like dataset_group; and (3) a numeric distribution summary (min, max, mean, percentiles, etc.) for the selected numeric field (received_rows or accepted_rows). No external data is fetched; all analysis is performed locally on the supplied rows.","failureModes":["More than 200 rows submitted — exceeds maximum batch size","Missing required fields (row_id, dataset_group, date, received_rows, accepted_rows) on any row","Invalid date format (must match YYYY-MM-DD pattern)","Numeric values outside the allowed range (-1,000,000,000,000 to 1,000,000,000,000)","Empty rows array (minItems: 1 required)","Invalid field enum value (must be 'received_rows' or 'accepted_rows')","Payment not included or insufficient (requires 0.01 USDC via x402)"],"whenToPreferThis":"Choose this endpoint when you need a combined quality audit, string normalisation, and numeric distribution profile on a batch of data ingestion records (up to 200 rows) in a single low-cost call. It is ideal for ETL pipeline health checks, pre-migration data validation, and monitoring accepted vs received row ratios across dataset groups. Prefer it over general-purpose analytics tools when your data is already structured around the ingestion batch schema (row_id, dataset_group, date, received_rows, accepted_rows) and you want three reports for one flat fee of $0.01 USDC.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-17T00:46:28.920Z","isFirstParty":false,"canonicalSlug":"data-ingestion-batches-record-quality-audit-string-normalisation-7214bd50"}