{"uid":"cap_E1EMKclRlFsqtXOdcRKbH","slug":"invoice-ageing-record-quality-audit-string-normalisation-numeric-row-b1ec062f","name":"Invoice Ageing Record Quality Audit, String Normalisation & Numeric Row Ordering","description":"Invoice ageing — Record quality audit + String normalisation + Numeric row ordering: Record quality audit + String normalisation + Numeric row ordering for supplied invoice ageing records (outstanding_amount, age_days). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-finance-07-196?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"}}},"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_cDvvj2DrUrh2n1pHB3K2I","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":"Runs three local analytical reports on invoice ageing data: a record quality audit, string normalisation, and numeric row ordering by outstanding_amount or age_days — up to 200 rows per call.","exampleAgentPrompt":"Can you run a record quality audit, string normalisation, and numeric row ordering on these invoice ageing records — I have about 50 rows with outstanding_amount and age_days fields — and sort the results by outstanding_amount?","exampleUseCases":[{"title":"Pre-reporting invoice data quality check","prompt":"Before I send this month's accounts receivable report, can you audit these 120 invoice ageing rows for quality issues, normalise the instrument_group strings, and order them by age_days so I can spot the oldest outstanding amounts first?"},{"title":"Cleaning messy invoice export from ERP","prompt":"I exported 80 invoice ageing records from our ERP and the group names look inconsistent — can you run a string normalisation and record quality audit on them, and also sort the rows by outstanding_amount descending?"},{"title":"Flagging bad rows before finance dashboard load","prompt":"We're about to load 200 invoice ageing rows into our dashboard and I want to catch any bad data first — please run the record quality audit, normalise the strings, and give me the rows ordered by age_days."}],"resultDescription":"Returns three independent analytical reports for the submitted invoice ageing rows: (1) a record quality audit identifying missing, null, or out-of-range values; (2) a string normalisation report standardising instrument_group and other string fields; and (3) a numeric row ordering report ranking rows by the specified field (outstanding_amount or age_days). All processing is done locally with no external lookups.","failureModes":["Fewer than 1 row submitted — validation error","More than 200 rows submitted — exceeds maximum, request rejected","Invalid date format (not YYYY-MM-DD) — schema validation failure","Missing required field (row_id, instrument_group, date, outstanding_amount, or age_days) — schema error","Field enum value not 'outstanding_amount' or 'age_days' — rejected","Numeric values outside allowed range (-1e12 to 1e12) — validation error","Payment not included or insufficient USDC — 402 payment required error"],"whenToPreferThis":"Choose this endpoint when you need a fast, cheap ($0.01 USDC), self-contained batch analysis of invoice ageing data covering quality auditing, string normalisation, and numeric ordering in a single call — without needing live lookups, predictions, or external integrations. Ideal for pre-processing invoice exports before loading into dashboards or sending to stakeholders.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-25T12:32:51.160Z","isFirstParty":false,"canonicalSlug":"invoice-ageing-record-quality-audit-string-normalisation-numeric-row-b1ec062f"}