{"uid":"cap_LPpHsxkki9Wwk6NVXUH-A","slug":"data-ingestion-batches-numeric-distribution-keyed-dataset-comparison-15bfee3c","name":"Data Ingestion Batches — Numeric Distribution & Keyed Dataset Comparison","description":"Data ingestion batches — Numeric distribution + Keyed dataset comparison: Numeric distribution + Keyed dataset comparison 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-01-084?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}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"accepted_rows":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"dataset_group":{"type":"string","default":"","maxLength":80},"received_rows":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","accepted_rows":1,"dataset_group":"group-a","received_rows":10},{"date":"2026-10-02","row_id":"row-2","accepted_rows":2,"dataset_group":"group-b","received_rows":20},{"date":"2026-10-03","row_id":"row-3","accepted_rows":3,"dataset_group":"group-a","received_rows":15},{"date":"2026-10-04","row_id":"row-4","accepted_rows":4,"dataset_group":"group-b","received_rows":30}],"maxItems":200,"minItems":1},"field":{"enum":["received_rows","accepted_rows"],"type":"string","default":"received_rows"},"other":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","received_rows","accepted_rows"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","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":21},{"date":"2026-10-03","row_id":"row-3","accepted_rows":3,"dataset_group":"group-a","received_rows":17},{"date":"2026-10-04","row_id":"row-4","accepted_rows":4,"dataset_group":"group-b","received_rows":33}],"maxItems":200,"minItems":0}}},"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_MH77dxZj3xe10HVU0pe38","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 data ingestion batch records by computing numeric distribution statistics and performing keyed dataset comparison between two supplied datasets for received_rows or accepted_rows.","exampleAgentPrompt":"Can you run a numeric distribution and keyed dataset comparison on my two ingestion batch datasets — the first has rows like {row_id: 'run-1', dataset_group: 'orders', date: '2024-06-01', received_rows: 5000, accepted_rows: 4800} and the second has the same keys but different counts — and analyze the received_rows field?","exampleUseCases":[{"title":"Pipeline run regression detection","prompt":"I have two sets of ingestion batch records from last Tuesday and this Tuesday — both have the same row IDs and dataset groups, but I suspect this week's accepted_rows dropped. Can you compare them and show me where the differences are, plus the distribution of received_rows for both?"},{"title":"Data quality audit across groups","prompt":"Run a numeric distribution report on my ingestion batch data for the accepted_rows field — I have up to 150 rows across dataset groups like 'customers', 'orders', and 'returns' with dates in June 2024. I also want a keyed comparison against last month's equivalent batch."},{"title":"Daily ingestion monitoring report","prompt":"Here are today's ingestion batch records and yesterday's batch records, each with row_id, dataset_group, date, received_rows, and accepted_rows. Please give me a distribution analysis of received_rows and a keyed comparison so I can spot any groups where row counts shifted significantly."}],"resultDescription":"Returns two analytical reports: (1) a numeric distribution summary for the selected field (received_rows or accepted_rows) across the primary dataset, including statistics such as min, max, mean, and percentiles; and (2) a keyed dataset comparison report matching records by row_id between the primary and comparison datasets, highlighting differences in received_rows and accepted_rows values. All analysis is performed locally on the supplied data — no external lookups or predictions are made.","failureModes":["Missing required fields (row_id, dataset_group, date, received_rows, accepted_rows) causes validation error","Submitting more than 200 rows exceeds the maxItems limit and is rejected","Invalid date format (not YYYY-MM-DD) triggers pattern validation failure","Null numeric values in received_rows or accepted_rows may affect distribution computation","Mismatched row_ids between primary and comparison datasets may result in incomplete keyed comparison","Payment failure via x402 protocol prevents endpoint execution"],"whenToPreferThis":"Choose this endpoint when you need both a numeric distribution analysis and a keyed record-level comparison for data ingestion batch metrics (received_rows, accepted_rows) in a single low-cost call. It is ideal for data engineers monitoring pipeline quality, detecting ingestion regressions between runs, or auditing batch acceptance rates — especially when both datasets are already available locally and no external data enrichment or prediction is needed. Prefer this over building custom analytics scripts when you want a fast, structured dual-report output for up to 200 rows at minimal cost.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:46:33.857Z","isFirstParty":false,"canonicalSlug":"data-ingestion-batches-numeric-distribution-keyed-dataset-comparison-15bfee3c"}