{"uid":"cap_vsTe0eOIWVkSVJCCRzzrY","slug":"data-ingestion-batches-record-quality-audit-string-normalisation-dd6e7401","name":"Data Ingestion Batches — Record Quality Audit + String Normalisation + Secondary-Measure Weighted Mean","description":"Data ingestion batches — Record quality audit + String normalisation + Secondary-measure weighted mean: Record quality audit + String normalisation + Secondary-measure weighted mean 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-01-205?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_VNNKm_EShTU4egH9b2L1i","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 local analytical reports on data ingestion batch records: a record quality audit, string normalisation, and a secondary-measure weighted mean for received_rows or accepted_rows fields.","exampleAgentPrompt":"Can you run a record quality audit, string normalisation, and weighted mean analysis on my data ingestion batch records — here are the rows with received_rows and accepted_rows by date and dataset_group, and use received_rows as the field for the weighted mean?","exampleUseCases":[{"title":"Daily ingestion pipeline quality check","prompt":"I have 50 rows of daily ingestion batch data with received_rows and accepted_rows per dataset_group — can you audit the record quality, normalise the dataset group strings, and compute the weighted mean of accepted_rows across all of them?"},{"title":"Acceptance rate anomaly investigation","prompt":"My ingestion pipeline had some weird numbers last week — can you run all three reports (quality audit, string normalisation, weighted mean) on these batch records so I can see which groups had poor acceptance rates?"},{"title":"Multi-group dataset summary for stakeholders","prompt":"I need a quick analytical summary of these ingestion batch records across group-a and group-b for the past month — run the quality audit, normalise the group name strings, and give me the weighted mean for received_rows."}],"resultDescription":"Returns three independent analytical reports computed locally from the supplied rows: (1) a record quality audit flagging issues in the ingestion batch records, (2) a string normalisation report on dataset_group and other string fields, and (3) a secondary-measure weighted mean computed over either received_rows or accepted_rows as specified. No external lookups or predictions are made.","failureModes":["Rows array exceeds 200 items — request rejected","Missing required fields (row_id, dataset_group, date, received_rows, accepted_rows) — validation error","Date field does not match YYYY-MM-DD format — schema validation failure","Numeric values outside allowed range (±1,000,000,000,000) — rejection","Invalid field enum value (not received_rows or accepted_rows) — error","Empty rows array — minimum items constraint violation"],"whenToPreferThis":"Choose this endpoint when you have up to 200 data ingestion batch records and need three bundled analytical reports — quality audit, string normalisation, and weighted mean — in a single low-cost call without any external data lookups, predictions, or live enrichment. It is ideal for ETL pipeline monitoring, ingestion acceptance rate analysis, and data hygiene checks on received_rows/accepted_rows metrics.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-17T00:46:28.612Z","isFirstParty":false,"canonicalSlug":"data-ingestion-batches-record-quality-audit-string-normalisation-dd6e7401"}