{"uid":"cap_YJ2Lno6dcY43yStHu6iAW","slug":"payables-scheduling-category-frequencies-secondary-measure-weighted-4da6c4f7","name":"Payables Scheduling — Category Frequencies + Secondary-Measure Weighted Mean","description":"Payables scheduling — Category frequencies + Secondary-measure weighted mean: Category frequencies + Secondary-measure weighted mean 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-21-109?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_-ndFCicYWsAut1uWamkX8","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":"Computes category frequencies and a secondary-measure weighted mean for up to 200 payables scheduling records (due_amount, paid_amount) using local analytics — no external calls.","exampleAgentPrompt":"Analyze these 12 payables scheduling records — instrument groups 'vendor-a', 'vendor-b', 'vendor-c' with dates and due_amount/paid_amount values — and give me category frequencies by instrument group plus the weighted mean of due_amount across categories.","exampleUseCases":[{"title":"Monthly payables distribution audit","prompt":"I have 80 payables records for October with instrument groups 'short-term', 'long-term', and 'revolving', each with due_amount and paid_amount. Can you compute how frequently each group appears and give me the weighted mean of due_amount?"},{"title":"Vendor payment concentration analysis","prompt":"Here are 150 rows of payables data across vendor groups 'domestic', 'international', and 'intercompany' with due and paid amounts — run me a category frequency report and a weighted mean on paid_amount so I can see where payment weight is concentrated."},{"title":"AP reconciliation summary by instrument","prompt":"I need to reconcile my accounts payable schedule: I have 40 rows tagged to instrument groups 'invoice', 'credit-note', and 'advance', with due_amount and paid_amount filled in. Give me the frequency breakdown by group and the weighted mean of due_amount."}],"resultDescription":"Returns two analytical reports: (1) category frequency counts showing how often each instrument_group value appears in the supplied rows, and (2) a secondary-measure weighted mean of the selected field (due_amount or paid_amount) across categories. Both reports are computed locally from the supplied data with no external lookups.","failureModes":["Missing required fields (row_id, instrument_group, date, due_amount, or paid_amount) cause validation errors","Submitting more than 200 rows exceeds the maxItems limit and will be rejected","Malformed date strings not matching YYYY-MM-DD pattern will fail schema validation","Null values in the chosen field may affect weighted mean computation or return NaN","Empty rows array (minItems:1 violated) returns an error","Amounts outside ±1,000,000,000,000 range fail schema validation"],"whenToPreferThis":"Choose this endpoint when you have tabular payables scheduling data (up to 200 rows) and need both a categorical frequency breakdown by instrument group and a weighted mean statistic on a numeric measure (due_amount or paid_amount) in a single low-cost call. It is ideal for offline/batch analytics on already-collected AP data where no live data fetch, prediction, or external enrichment is needed. At $0.01 USDC for two reports, it is well-suited for automated reconciliation pipelines, periodic AP summaries, or audit workflows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-30T12:37:52.913Z","isFirstParty":false,"canonicalSlug":"payables-scheduling-category-frequencies-secondary-measure-weighted-4da6c4f7"}