{"uid":"cap_Uqy2fRtXLfpiiCVCPIVuS","slug":"data-ingestion-batches-numeric-distribution-category-frequencies-8323f7f5","name":"Data Ingestion Batches — Numeric Distribution + Category Frequencies","description":"Data ingestion batches — Numeric distribution + Category frequencies: Numeric distribution + Category frequencies 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-01-072?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_tOJ4vkYEJzq28yAYB6zfI","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":"Computes numeric distribution statistics and category frequency counts for data ingestion batch records (received_rows, accepted_rows) across up to 200 rows.","exampleAgentPrompt":"Can you analyze the numeric distribution and category frequencies for these ingestion batch records — I've got about 50 rows with received_rows and accepted_rows fields — and run the report on the received_rows field?","exampleUseCases":[{"title":"ETL batch quality audit","prompt":"I have 120 rows of daily ingestion batch data with dataset_group, date, received_rows, and accepted_rows. Can you compute the numeric distribution and category frequencies for received_rows so I can see how row counts are spread and which groups dominate?"},{"title":"Dataset group dominance check","prompt":"Here are 80 ingestion batch records from last month — can you run category frequency analysis on the dataset_group field and also show the numeric distribution of accepted_rows? I want to know which groups are most active and how accepted counts vary."},{"title":"Pipeline acceptance rate profiling","prompt":"I want to understand the spread of accepted_rows across my ingestion batches — I have 200 records with dates and dataset groups. Please generate the numeric distribution report for accepted_rows along with category frequencies for the dataset groups."}],"resultDescription":"Returns two analytical reports: (1) a numeric distribution summary (e.g. min, max, mean, median, percentiles, spread) for the selected numeric field (received_rows or accepted_rows), and (2) category frequency counts for the dataset_group dimension — both computed locally without external lookups, covering up to 200 supplied rows.","failureModes":["Fewer than 1 row submitted — minItems violation returns validation error","More than 200 rows submitted — maxItems exceeded, request rejected","Invalid date format (not YYYY-MM-DD) causes schema validation failure","Missing required fields (row_id, dataset_group, date, received_rows, accepted_rows) cause rejection","Null values in the selected numeric field may affect distribution statistics","Invalid field enum value (not 'received_rows' or 'accepted_rows') causes rejection"],"whenToPreferThis":"Choose this endpoint when you have data ingestion batch records with received_rows and accepted_rows metrics and need both a numeric distribution report and category frequency breakdown in a single call for up to 200 rows. Prefer it over general analytics tools when your data is already structured with dataset_group, date, and row count fields and you want lightweight, self-contained statistical summaries without external data lookups or predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:46:38.688Z","isFirstParty":false,"canonicalSlug":"data-ingestion-batches-numeric-distribution-category-frequencies-8323f7f5"}