{"uid":"cap_IOr0I_QgNpjp5tDJA2tlx","slug":"record-routing-analytics-grouped-numeric-summary-explicit-missing-03ec759f","name":"Record Routing Analytics — Grouped Numeric Summary + Explicit Missing-Value Fill","description":"Record routing — Grouped numeric summary + Explicit missing-value fill: Grouped numeric summary + Explicit missing-value fill for supplied record routing records (accepted_records, rejected_records). 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-19-099?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","accepted_records","rejected_records"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"dataset_group":{"type":"string","default":"","maxLength":80},"accepted_records":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"rejected_records":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","dataset_group":"group-a","accepted_records":10,"rejected_records":1},{"date":"2026-10-02","row_id":"row-2","dataset_group":"group-b","accepted_records":20,"rejected_records":2},{"date":"2026-10-03","row_id":"row-3","dataset_group":"group-a","accepted_records":15,"rejected_records":3},{"date":"2026-10-04","row_id":"row-4","dataset_group":"group-b","accepted_records":30,"rejected_records":4}],"maxItems":200,"minItems":1},"field":{"enum":["accepted_records","rejected_records"],"type":"string","default":"accepted_records"},"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_2_d3FnpL44g0M_UyImian","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 in record routing data (accepted_records, rejected_records) across up to 200 rows, producing two analytical reports.","exampleAgentPrompt":"I have a record routing dataset with accepted_records and rejected_records across groups like 'group-a' and 'group-b' for dates in October 2026 — can you give me a grouped numeric summary of accepted_records and also fill any missing accepted_records values using the median method?","exampleUseCases":[{"title":"ETL pipeline quality review","prompt":"I need to audit my ETL pipeline results — here are up to 200 rows of accepted and rejected record counts by dataset group and date. Can you give me a grouped numeric summary for accepted_records and fill any nulls using the mean?"},{"title":"Routing rejection analysis by category","prompt":"I have routing data split across group-a and group-b for the past month. Summarize the rejected_records by dataset group and fill any missing rejected_records values with zero so I can see the full picture."},{"title":"Data completeness check before reporting","prompt":"Before I send this routing report to stakeholders, can you run a grouped numeric summary on accepted_records across all my dataset groups and impute any missing values with the median? I have about 150 rows to process."}],"resultDescription":"Returns two analytical reports: (1) a grouped numeric summary showing statistics (e.g. count, sum, mean, min, max) for the chosen field broken down by dataset_group, and (2) the same dataset with missing values in the specified field explicitly filled using the chosen method (zero, mean, or median). No external data is fetched; all analysis is local to the supplied rows.","failureModes":["Input exceeds 200 rows — request rejected","Missing required fields (row_id, dataset_group, date, accepted_records, rejected_records) — validation error","Invalid date format (must be YYYY-MM-DD) — schema validation failure","Invalid fill method enum value — rejected","All values null with mean/median fill method — undefined imputation result","Payment of 0.01 USDC not completed — 402 response"],"whenToPreferThis":"Choose this endpoint when you have up to 200 rows of record routing data with accepted/rejected record counts and need both a grouped statistical summary and explicit null imputation in a single API call for a flat fee of $0.01 USDC. Ideal for lightweight ETL auditing, data quality checks, or pre-reporting cleanup without needing a full analytics platform.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T18:52:47.327Z","isFirstParty":false,"canonicalSlug":"record-routing-analytics-grouped-numeric-summary-explicit-missing-03ec759f"}