{"uid":"cap_HUDo0Exo44OIz-df8N1nI","slug":"record-routing-analytics-numeric-row-ordering-missing-value-fill-ab5ab655","name":"Record Routing Analytics: Numeric Row Ordering + Missing-Value Fill","description":"Record routing — Numeric row ordering + Explicit missing-value fill: Numeric row ordering + 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-19-124?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_ZWk4iMTVbkmfg9aApo5rI","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":"Sorts record routing data (accepted_records, rejected_records) by numeric row ordering and fills missing values using zero, mean, or median imputation, returning two analytical reports for up to 200 rows.","exampleAgentPrompt":"I have 4 rows of record routing data across two dataset groups from Oct 1–4 2026 with accepted_records and rejected_records counts — can you sort them by numeric row order and fill any missing accepted_records values using median imputation?","exampleUseCases":[{"title":"Impute missing rejected records in pipeline","prompt":"I have a CSV of daily record routing logs with some null values in the rejected_records column — fill those nulls using mean imputation and give me the sorted rows back, up to 150 rows total."},{"title":"Sort routing data for quality dashboard","prompt":"Can you numerically order these 80 rows of record routing data by accepted_records and also fill any blanks with zero so I can plug them into my quality dashboard?"},{"title":"Analyze routing acceptance across dataset groups","prompt":"I've got routing records for group-a and group-b over the past month — sort them numerically and fill missing accepted_records with the median so I can compare acceptance rates across groups."}],"resultDescription":"Two analytical reports covering: (1) numeric row ordering of the submitted record routing rows, and (2) explicit missing-value fill for the chosen field (accepted_records or rejected_records) using the selected method (zero, mean, or median). Results are computed locally with no external lookups, covering up to 200 input rows.","failureModes":["More than 200 rows submitted — exceeds maxItems limit","Missing required fields (row_id, date, dataset_group) cause validation errors","Invalid date format (not YYYY-MM-DD) rejected by pattern validation","Field enum value not in [accepted_records, rejected_records] causes error","Method enum value not in [zero, mean, median] causes error","Empty rows array (minItems:1 not satisfied) returns error","Numeric values outside ±1,000,000,000,000 range may be rejected"],"whenToPreferThis":"Choose this endpoint when you need deterministic, offline numeric sorting and missing-value imputation for record routing datasets (accepted_records/rejected_records) with up to 200 rows, and you want two bundled analytical reports for a flat $0.01 USDC fee. Prefer this over general-purpose analytics tools when your data is already structured in the expected schema and you need a lightweight, reproducible preprocessing step without external data dependencies.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T18:51:14.998Z","isFirstParty":false,"canonicalSlug":"record-routing-analytics-numeric-row-ordering-missing-value-fill-ab5ab655"}