{"uid":"cap_t5yefmJT76wQl7fG78bPJ","slug":"payables-scheduling-string-normalisation-numeric-distribution-f27409da","name":"Payables Scheduling — String Normalisation + Numeric Distribution","description":"Payables scheduling — String normalisation + Numeric distribution: String normalisation + Numeric distribution for supplied payables scheduling records (due_amount, paid_amount). 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-21-022?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","instrument_group","date","due_amount","paid_amount"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"due_amount":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"paid_amount":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"instrument_group":{"type":"string","default":"","maxLength":80}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","due_amount":10,"paid_amount":1,"instrument_group":"group-a"},{"date":"2026-10-02","row_id":"row-2","due_amount":20,"paid_amount":2,"instrument_group":"group-b"},{"date":"2026-10-03","row_id":"row-3","due_amount":15,"paid_amount":3,"instrument_group":"group-a"},{"date":"2026-10-04","row_id":"row-4","due_amount":30,"paid_amount":4,"instrument_group":"group-b"}],"maxItems":200,"minItems":1},"field":{"enum":["due_amount","paid_amount"],"type":"string","default":"due_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_DjrrEcUFwaonkhiDEArVt","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":"Normalises string fields and computes numeric distribution statistics for payables scheduling records (due_amount, paid_amount) across up to 200 rows, returning two analytical reports.","exampleAgentPrompt":"I have a set of payables scheduling records with due_amount and paid_amount fields — can you normalize the string fields and get me a numeric distribution report on due_amount for these rows: row-1 group-a 2026-10-01 due=10 paid=1, row-2 group-b 2026-10-02 due=20 paid=2, row-3 group-a 2026-10-03 due=15 paid=3?","exampleUseCases":[{"title":"Payables variance analysis by group","prompt":"I have 50 payables records split across instrument groups A and B with due and paid amounts — can you normalize the group name strings and give me the numeric distribution of due_amount so I can see how spread out my obligations are?"},{"title":"Audit payment completion across dates","prompt":"Here are 120 rows of payables data with dates, instrument groups, and due/paid amounts — run string normalisation on them and give me a numeric distribution report on paid_amount so I can audit how evenly payments are distributed."},{"title":"Finance report prep for AP team","prompt":"I need to prep a report for the AP team — can you take these 80 payables scheduling rows and run both string normalisation and a numeric distribution on the due_amount field so we have clean, summarized data to present?"}],"resultDescription":"Two analytical reports derived from the supplied payables scheduling rows: (1) a string normalisation report cleaning fields like instrument_group, and (2) a numeric distribution report for the selected field (due_amount or paid_amount), covering statistics such as min, max, mean, percentiles, and frequency distribution — all computed locally with no external lookups.","failureModes":["Input array exceeds 200 rows — request rejected","Missing required fields (row_id, instrument_group, date, due_amount, paid_amount) — validation error","Invalid date format (non-YYYY-MM-DD) — schema validation failure","Numeric values outside allowed range (-1e12 to 1e12) — validation error","Empty rows array (minItems: 1 not met) — rejected","Invalid field enum value (must be due_amount or paid_amount) — rejected"],"whenToPreferThis":"Choose this endpoint when you need lightweight, local statistical analysis of payables scheduling data — specifically string normalisation of label fields and numeric distribution of financial amounts — without requiring external data lookups, predictions, or professional assessments. Ideal when you have up to 200 rows of due/paid amount records and want two reports bundled cheaply ($0.01 USDC). Not suitable for real-time payment processing, forecasting, or data involving more than 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-30T12:39:02.105Z","isFirstParty":false,"canonicalSlug":"payables-scheduling-string-normalisation-numeric-distribution-f27409da"}