{"uid":"cap_iNjdtYh4iNLlAA6qPoXWp","slug":"invoice-ageing-keyed-dataset-comparison-explicit-missing-value-fill-b9577fbb","name":"Invoice Ageing — Keyed Dataset Comparison + Explicit Missing-Value Fill","description":"Invoice ageing — Keyed dataset comparison + Explicit missing-value fill: Keyed dataset comparison + Explicit missing-value fill for supplied invoice ageing records (outstanding_amount, age_days). 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-finance-07-190?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","instrument_group","date","outstanding_amount","age_days"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"age_days":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"instrument_group":{"type":"string","default":"","maxLength":80},"outstanding_amount":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","age_days":1,"instrument_group":"group-a","outstanding_amount":10},{"date":"2026-10-02","row_id":"row-2","age_days":2,"instrument_group":"group-b","outstanding_amount":20},{"date":"2026-10-03","row_id":"row-3","age_days":3,"instrument_group":"group-a","outstanding_amount":15},{"date":"2026-10-04","row_id":"row-4","age_days":4,"instrument_group":"group-b","outstanding_amount":30}],"maxItems":200,"minItems":1},"field":{"enum":["outstanding_amount","age_days"],"type":"string","default":"outstanding_amount"},"other":{"type":"array","items":{"type":"object","required":["row_id","instrument_group","date","outstanding_amount","age_days"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"age_days":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"instrument_group":{"type":"string","default":"","maxLength":80},"outstanding_amount":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","age_days":1,"instrument_group":"group-a","outstanding_amount":10},{"date":"2026-10-02","row_id":"row-2","age_days":2,"instrument_group":"group-b","outstanding_amount":21},{"date":"2026-10-03","row_id":"row-3","age_days":3,"instrument_group":"group-a","outstanding_amount":17},{"date":"2026-10-04","row_id":"row-4","age_days":4,"instrument_group":"group-b","outstanding_amount":33}],"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_EhQtxeHGkRfwNziTBGevW","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 sets of invoice ageing records by row key and fills missing values in outstanding_amount or age_days fields, producing two analytical reports for up to 200 rows.","exampleAgentPrompt":"Compare these two invoice ageing datasets — both have up to 50 rows with row_id, instrument_group, date, outstanding_amount, and age_days — and fill in any missing outstanding_amount values. Give me the keyed comparison and missing-value fill reports.","exampleUseCases":[{"title":"Month-end invoice reconciliation","prompt":"I have two invoice ageing snapshots from end of September and end of October, each with about 80 rows including row_id, instrument_group, date, outstanding_amount, and age_days. Compare them by row key and fill any missing outstanding_amount values so I can see what changed."},{"title":"Detecting gaps in age_days data","prompt":"My accounts receivable export has about 120 invoice rows but a lot of the age_days values are null. Can you run the missing-value fill analysis on the age_days field so I know which records are incomplete and get filled values?"},{"title":"Reconciling two AR system exports","prompt":"We pulled invoice ageing data from two different systems — about 150 rows each — with matching row IDs, instrument groups, dates, outstanding amounts, and age in days. Run the keyed dataset comparison on outstanding_amount to show me where the two systems disagree."}],"resultDescription":"Returns two analytical reports: (1) a keyed dataset comparison identifying rows present in one dataset but not the other, and rows where the selected field (outstanding_amount or age_days) differs between the two datasets; (2) an explicit missing-value fill report showing which rows had null values in the target field and what values were imputed using local analytical engines. No external data sources or predictions are involved.","failureModes":["Exceeds 200-row limit — request rejected if either dataset has more than 200 rows","Missing required fields (row_id, instrument_group, date, outstanding_amount, age_days) — validation error","Invalid date format not matching YYYY-MM-DD pattern — schema validation failure","Values outside allowed numeric range (±1,000,000,000,000) — rejected","Empty rows array — minItems:1 constraint violated","Payment not included or insufficient — x402 payment required error"],"whenToPreferThis":"Choose this endpoint when you need to compare two invoice ageing datasets by matching row keys and identify value differences or fill missing values in outstanding_amount or age_days — especially when both datasets have up to 200 rows and you want two bundled reports (comparison + fill) for a flat $0.01 fee. Prefer this over general-purpose data tools when your data is already structured as invoice ageing records with the exact required fields.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-24T12:48:54.454Z","isFirstParty":false,"canonicalSlug":"invoice-ageing-keyed-dataset-comparison-explicit-missing-value-fill-b9577fbb"}