{"uid":"cap_Vq9K147e-yruYs68npj6w","slug":"payables-scheduling-string-normalisation-exact-row-deduplication-5429728d","name":"Payables Scheduling — String Normalisation + Exact Row Deduplication","description":"Payables scheduling — String normalisation + Exact row deduplication: String normalisation + Exact row deduplication 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-21-020?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}}},"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_BxroAbcp0mURx30tAd5iA","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 strings and deduplicates exact rows in payables scheduling records (due_amount, paid_amount), returning two analytical reports for up to 200 rows.","exampleAgentPrompt":"Can you clean up my payables scheduling data by normalizing all the string fields and removing any exact duplicate rows? I have up to 50 records with columns for row_id, instrument_group, date, due_amount, and paid_amount — I need both a string normalisation report and a deduplication report back.","exampleUseCases":[{"title":"Month-end payables data cleansing","prompt":"Before I close the books this month, can you run my payables schedule through string normalisation and exact row deduplication? I have 120 rows with instrument groups, due dates, due amounts, and paid amounts that need cleaning before I import them into the GL."},{"title":"Duplicate invoice detection in payment queue","prompt":"I think my payment queue has some duplicate entries — can you check these 80 payables scheduling rows for exact duplicate records and also normalize the instrument group strings so casing inconsistencies are fixed? Give me both reports."},{"title":"Pre-reconciliation payables audit","prompt":"I'm about to reconcile our payables and want to make sure the dataset is clean first — please run string normalisation and exact deduplication on these 45 payables rows with their due and paid amounts so I can trust the numbers going into the reconciliation."}],"resultDescription":"Two analytical reports: (1) a string normalisation report showing standardised string fields across payables records, and (2) an exact row deduplication report identifying and removing duplicate rows — both derived from the supplied rows of up to 200 payables scheduling records containing row_id, instrument_group, date, due_amount, and paid_amount.","failureModes":["More than 200 rows submitted — request exceeds maxItems limit","Missing required fields (row_id, instrument_group, date, due_amount, paid_amount) cause validation errors","Invalid date format (not YYYY-MM-DD) triggers pattern validation failure","Numeric amounts outside the allowed range (±1,000,000,000,000) are rejected","Empty rows array (minItems: 1 not met) causes schema rejection"],"whenToPreferThis":"Choose this endpoint when you need lightweight, offline data quality processing for payables scheduling records specifically — no external lookup, live data, or prediction needed. It is ideal when you have up to 200 rows of due_amount/paid_amount payables data and want two simultaneous analytical reports (string normalisation + deduplication) in a single low-cost call ($0.01 USDC). Prefer this over general ETL or database tools when operating in an agentic pipeline that needs a simple, self-contained payables cleaning step.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T12:32:09.952Z","isFirstParty":false,"canonicalSlug":"payables-scheduling-string-normalisation-exact-row-deduplication-5429728d"}