{"uid":"cap_qDOTceg4MlAQDpg8Tf3Jv","slug":"data-ingestion-batches-duplicate-key-report-numeric-distribution-aa97d12b","name":"Data Ingestion Batches — Duplicate Key Report + Numeric Distribution","description":"Data ingestion batches — Duplicate key report + Numeric distribution: Duplicate key report + Numeric distribution 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-01-055?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_ZGlHfTf_YDSQRXmJNEgNe","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 a duplicate key report and numeric distribution analysis for received_rows or accepted_rows fields.","exampleAgentPrompt":"Can you run a duplicate key report and numeric distribution on my ingestion batch records — I have up to 50 rows with fields like row_id, dataset_group, date, received_rows, and accepted_rows — and I want the distribution on the received_rows field?","exampleUseCases":[{"title":"Audit ingestion pipeline for duplicate keys","prompt":"I have 80 rows of data ingestion batch logs with row_id, dataset_group, date, received_rows, and accepted_rows — can you check them for duplicate row_ids and show me the numeric distribution of received_rows?"},{"title":"Distribution analysis of accepted rows","prompt":"Here are 120 batch ingestion records from last month. Can you run the duplicate key check and give me a numeric distribution on the accepted_rows field so I can see how acceptance rates are spread?"},{"title":"Validate dataset group ingestion batches","prompt":"I want to validate 40 ingestion batch records across two dataset groups. Run a duplicate key report and a numeric distribution on received_rows for me so I can spot any data quality issues."}],"resultDescription":"Returns two independent analytical reports: (1) a duplicate key report identifying any repeated row_id values across the supplied batch records, and (2) a numeric distribution analysis of the selected field (received_rows or accepted_rows) showing the statistical spread of values across up to 200 rows.","failureModes":["More than 200 rows submitted — exceeds maximum batch size","Missing required fields (row_id, dataset_group, date, received_rows, accepted_rows) — validation error","Invalid date format (must match YYYY-MM-DD pattern) — schema rejection","Field value outside allowed numeric range (±1,000,000,000,000) — validation error","Empty rows array — minimum 1 item required","Invalid field selector — must be 'received_rows' or 'accepted_rows'"],"whenToPreferThis":"Choose this endpoint when you have tabular data ingestion batch records (up to 200 rows) and need both duplicate key detection and numeric distribution analysis in a single $0.01 call. It is purpose-built for data quality auditing of ingestion pipeline logs with the specific schema fields row_id, dataset_group, date, received_rows, and accepted_rows — ideal for catching key conflicts and understanding value distributions without setting up external analytics infrastructure.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-18T00:58:27.283Z","isFirstParty":false,"canonicalSlug":"data-ingestion-batches-duplicate-key-report-numeric-distribution-aa97d12b"}