{"uid":"cap_8XEu39RBJ8e9_NRibVb8G","slug":"data-reconciliation-grouped-numeric-summary-explicit-missing-value-fill-12512c62","name":"Data Reconciliation — Grouped Numeric Summary + Explicit Missing-Value Fill","description":"Data reconciliation — Grouped numeric summary + Explicit missing-value fill: Grouped numeric summary + Explicit missing-value fill for supplied data reconciliation records (source_total, target_total). 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-11-099?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","source_total","target_total"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"source_total":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"target_total":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"dataset_group":{"type":"string","default":"","maxLength":80}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","source_total":10,"target_total":1,"dataset_group":"group-a"},{"date":"2026-10-02","row_id":"row-2","source_total":20,"target_total":2,"dataset_group":"group-b"},{"date":"2026-10-03","row_id":"row-3","source_total":15,"target_total":3,"dataset_group":"group-a"},{"date":"2026-10-04","row_id":"row-4","source_total":30,"target_total":4,"dataset_group":"group-b"}],"maxItems":200,"minItems":1},"field":{"enum":["source_total","target_total"],"type":"string","default":"source_total"},"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__43xfeVCA9Pin1jJnvCjq","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 grouped numeric summaries and fills missing values (zero, mean, or median) for source/target reconciliation data across up to 200 rows, returning two analytical reports.","exampleAgentPrompt":"I have 50 reconciliation rows with dataset_group, date, source_total, and target_total — some source_total values are null. Can you run a grouped numeric summary and fill the missing source_total values using median imputation?","exampleUseCases":[{"title":"ETL pipeline data quality check","prompt":"I've got 120 rows from our nightly ETL run with source_total and target_total by dataset group — several source_total values are missing. Can you give me a grouped numeric summary and fill those nulls using mean imputation?"},{"title":"Monthly financial reconciliation review","prompt":"Here are 80 reconciliation records across three dataset groups for October 2026, with some null target_total entries. Run a grouped summary on target_total and fill the missing values using median, so I can review the two reports side by side."},{"title":"Data audit before stakeholder report","prompt":"Before I send this reconciliation data to stakeholders, I need a grouped numeric summary of source_total across all dataset groups and I want any missing values replaced with zero — it's 45 rows total, can you generate those two reports?"}],"resultDescription":"Returns two analytical reports: (1) a grouped numeric summary of the specified field (source_total or target_total) broken down by dataset_group, and (2) a record of explicit missing-value fills using the chosen method (zero, mean, or median). Covers up to 200 input rows and uses only local analytical computation — no external lookups or predictions.","failureModes":["Input array exceeds 200 rows — request will be rejected","Missing required fields (row_id, dataset_group, date, source_total, target_total) on any row causes validation error","Date field does not match YYYY-MM-DD pattern — schema validation failure","source_total or target_total outside the allowed range (-1e12 to 1e12) — rejected","Invalid method enum value (anything other than zero, mean, median) causes error","Invalid field enum value (anything other than source_total, target_total) causes error","Empty rows array (minItems: 1 violated) returns error"],"whenToPreferThis":"Choose this endpoint when you have structured reconciliation data with source and target numeric totals grouped by category and need both a grouped statistical summary and explicit missing-value imputation in a single low-cost call. It is ideal for ETL validation, financial data audits, or data quality pipelines where you want two complementary reports (summary + fill) without hitting an external database or prediction service. Prefer it over general-purpose analytics tools when your dataset fits within 200 rows and you want a deterministic, reproducible result using median, mean, or zero fill.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T12:46:39.940Z","isFirstParty":false,"canonicalSlug":"data-reconciliation-grouped-numeric-summary-explicit-missing-value-fill-12512c62"}