{"uid":"cap_XKWhamCAdRQLXXjgcpUFk","slug":"data-ingestion-batches-equal-width-histogram-explicit-missing-value-c87683e9","name":"Data Ingestion Batches — Equal-Width Histogram + Explicit Missing-Value Fill","description":"Data ingestion batches — Equal-width histogram + Explicit missing-value fill: Equal-width histogram + Explicit missing-value fill 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-01-175?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"bins":{"type":"integer","default":5,"maximum":30,"minimum":1},"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"},"method":{"enum":["zero","mean","median"],"type":"string","default":"median"}}},"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_GxdaPV7STTvUlkfwtXAA2","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 (received_rows, accepted_rows) by computing an equal-width histogram and filling missing values with a chosen strategy, returning two independent analytical reports.","exampleAgentPrompt":"Can you analyze the distribution of received_rows in these ingestion batch records — use 10 bins for the histogram and fill any missing values with the median? Here are up to 200 rows with row_id, dataset_group, date, received_rows, and accepted_rows.","exampleUseCases":[{"title":"Pipeline ingestion volume distribution analysis","prompt":"I have 150 daily ingestion batch records with received_rows and accepted_rows. Can you build an equal-width histogram with 8 bins on received_rows and fill any nulls using the mean, so I can see how row volumes are distributed across our dataset groups?"},{"title":"Accepted rows missing-value audit and histogram","prompt":"Some of my accepted_rows values are missing in these batch logs. Can you run the histogram and median-fill analysis on the accepted_rows field using 5 bins, so I can understand the distribution after imputation?"},{"title":"Dataset group ingestion quality profiling","prompt":"We have 200 ingestion batch records across multiple dataset groups. Please compute a 15-bin equal-width histogram on received_rows and use zero-fill for any missing values, so I can profile our ingestion quality by volume band."}],"resultDescription":"Returns two independent analytical reports: (1) an equal-width histogram showing bin edges and counts for the selected field (received_rows or accepted_rows) across the supplied batch records, and (2) a series where missing values have been explicitly filled using the chosen method (zero, mean, or median). Both reports are computed locally with no external data lookups.","failureModes":["More than 200 rows submitted — request will be rejected or truncated","Invalid date format (not YYYY-MM-DD) causes validation error","Missing required fields (row_id, dataset_group, date) cause row rejection","bins value outside 1–30 range causes validation error","Numeric values outside ±1,000,000,000,000 cause schema validation failure","Empty rows array (minItems: 1 not met) causes error"],"whenToPreferThis":"Choose this endpoint when you have up to 200 data ingestion batch records and need two specific analytical outputs — an equal-width histogram and a missing-value-filled series — for either received_rows or accepted_rows. It is ideal for lightweight, offline statistical profiling of pipeline batch metrics without needing a full analytics platform. Prefer it over general-purpose analytics services when you want a low-cost ($0.01 USDC), deterministic, no-side-effect computation on supplied data with no live lookups or external dependencies.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-21T00:52:31.902Z","isFirstParty":false,"canonicalSlug":"data-ingestion-batches-equal-width-histogram-explicit-missing-value-c87683e9"}