{"uid":"cap_5ZEmuc2TkL7h-0HrYfr4s","slug":"record-routing-keyed-dataset-comparison-explicit-missing-value-fill-e51102df","name":"Record Routing — Keyed Dataset Comparison + Explicit Missing-Value Fill","description":"Record routing — Keyed dataset comparison + Explicit missing-value fill: Keyed dataset comparison + 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-19-190?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}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"dataset_group":{"type":"string","default":"","maxLength":80},"accepted_records":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"rejected_records":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","dataset_group":"group-a","accepted_records":10,"rejected_records":1},{"date":"2026-10-02","row_id":"row-2","dataset_group":"group-b","accepted_records":20,"rejected_records":2},{"date":"2026-10-03","row_id":"row-3","dataset_group":"group-a","accepted_records":15,"rejected_records":3},{"date":"2026-10-04","row_id":"row-4","dataset_group":"group-b","accepted_records":30,"rejected_records":4}],"maxItems":200,"minItems":1},"field":{"enum":["accepted_records","rejected_records"],"type":"string","default":"accepted_records"},"other":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","accepted_records","rejected_records"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","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":21,"rejected_records":2},{"date":"2026-10-03","row_id":"row-3","dataset_group":"group-a","accepted_records":17,"rejected_records":3},{"date":"2026-10-04","row_id":"row-4","dataset_group":"group-b","accepted_records":33,"rejected_records":4}],"maxItems":200,"minItems":0},"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_eRNr00Z98Wbf0ziloV15-","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":"Compares two keyed record-routing datasets (accepted_records, rejected_records) across up to 200 rows and fills missing values, producing 2 analytical reports locally.","exampleAgentPrompt":"Compare my two record routing datasets — the primary one has rows like group-a on 2026-10-01 with 10 accepted_records and 1 rejected_records, and the other dataset has the same keys but slightly different values — fill any missing values and give me both the keyed comparison and the missing-value fill reports, focusing on the accepted_records field.","exampleUseCases":[{"title":"Routing pipeline acceptance rate audit","prompt":"I have two snapshots of our record routing pipeline — one from last week and one from this week — each with up to 150 rows keyed by row_id, dataset_group, and date with accepted_records and rejected_records counts. Can you compare them side by side, fill in any nulls, and give me a report on where the numbers diverged, focusing on accepted_records?"},{"title":"Detecting gaps in rejected record counts","prompt":"My ETL pipeline produces daily routing records across group-a and group-b with accepted and rejected counts, but some rows have missing rejected_records values. Can you take my two datasets — up to 80 rows each — compare them by key, and fill in those missing rejected_records values so I can see the full picture?"},{"title":"Cross-group routing discrepancy report","prompt":"I need to compare my current routing dataset against a reference dataset for the same date range — about 200 rows split across multiple dataset groups — and find where the accepted_records numbers differ between the two. Can you run the keyed comparison and missing-value fill on both and show me the two reports?"}],"resultDescription":"Returns 2 analytical reports: (1) a keyed dataset comparison showing differences between the primary and secondary routing datasets row by row, and (2) an explicit missing-value fill summary identifying and resolving null accepted_records or rejected_records values — all computed locally without external lookups.","failureModes":["More than 200 rows submitted — request exceeds row limit and will be rejected","Missing required fields (row_id, dataset_group, date, accepted_records, rejected_records) cause validation errors","Invalid date format (not YYYY-MM-DD) triggers pattern validation failure","Numeric values outside allowed range (±1,000,000,000,000) cause schema rejection","Empty rows array (minItems:1 not met) returns an error","field enum value not one of accepted_records or rejected_records causes rejection"],"whenToPreferThis":"Choose this endpoint when you need to locally compare two keyed record-routing datasets (with accepted and rejected record counts) across up to 200 rows, and also want explicit missing-value fill — all in a single $0.01 call that produces two independent reports. Prefer it over generic diff tools when your data is already structured with row_id, dataset_group, and date keys. Not suitable for live lookups, predictions, or datasets exceeding 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T18:53:18.448Z","isFirstParty":false,"canonicalSlug":"record-routing-keyed-dataset-comparison-explicit-missing-value-fill-e51102df"}