{"uid":"cap_C2QboX2VTTACQYmD-C2zo","slug":"savings-ledger-string-normalisation-date-by-category-pivot-ea15dd3f","name":"Savings Ledger — String Normalisation + Date by Category Pivot","description":"Savings ledger — String normalisation + Date by category pivot: String normalisation + Date by category pivot for supplied savings ledger records (deposit_amount, withdrawal_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-23-035?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","instrument_group","date","deposit_amount","withdrawal_amount"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"deposit_amount":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"instrument_group":{"type":"string","default":"","maxLength":80},"withdrawal_amount":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","deposit_amount":10,"instrument_group":"group-a","withdrawal_amount":1},{"date":"2026-10-02","row_id":"row-2","deposit_amount":20,"instrument_group":"group-b","withdrawal_amount":2},{"date":"2026-10-03","row_id":"row-3","deposit_amount":15,"instrument_group":"group-a","withdrawal_amount":3},{"date":"2026-10-04","row_id":"row-4","deposit_amount":30,"instrument_group":"group-b","withdrawal_amount":4}],"maxItems":200,"minItems":1},"field":{"enum":["deposit_amount","withdrawal_amount"],"type":"string","default":"deposit_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_TBUXNUxGcTYvqNGksYbiA","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":"Performs string normalisation and a date-by-category pivot analysis on up to 200 savings ledger rows (deposit_amount or withdrawal_amount), returning two analytical reports.","exampleAgentPrompt":"Can you run string normalisation and a date-by-category pivot on my savings ledger? I have 4 rows — row-1 on 2026-10-01 with deposit_amount 10 in group-a and withdrawal 1, row-2 on 2026-10-02 deposit 20 group-b withdrawal 2, row-3 on 2026-10-03 deposit 15 group-a withdrawal 3, and row-4 on 2026-10-04 deposit 30 group-b withdrawal 4 — and I want the analysis on deposit_amount.","exampleUseCases":[{"title":"Monthly savings deposit pivot by fund group","prompt":"I have 50 rows of savings ledger data for October with deposits and withdrawals split across three instrument groups — can you normalise the strings and give me a pivot table showing deposit_amount grouped by instrument group and date?"},{"title":"Withdrawal trend breakdown for savings audit","prompt":"Can you run string normalisation and a date-by-category pivot on my savings ledger focusing on withdrawal_amount? I'll send you 120 rows with row IDs, dates, instrument groups, and withdrawal figures."},{"title":"Comparing two savings instruments over a quarter","prompt":"I have savings records for group-alpha and group-beta across 90 days — around 180 rows total. Can you normalise the data and pivot the deposit_amount by instrument group and date so I can compare performance over the quarter?"}],"resultDescription":"Two analytical reports: (1) a string normalisation report cleaning instrument_group and related text fields, and (2) a date-by-category pivot table aggregating the selected numeric field (deposit_amount or withdrawal_amount) across dates and instrument groups. No external data, predictions, or professional assessments are included.","failureModes":["Exceeding 200 rows returns a validation error","Missing required fields (row_id, instrument_group, date, deposit_amount, withdrawal_amount) causes request rejection","Invalid date format (not YYYY-MM-DD) fails pattern validation","Numeric values outside ±1,000,000,000,000 are rejected","Empty rows array (minItems:1 violated) returns an error","Invalid field enum value (anything other than deposit_amount or withdrawal_amount) is rejected"],"whenToPreferThis":"Choose this endpoint when you have up to 200 savings ledger rows and need both string normalisation and a date-by-category pivot in a single low-cost call ($0.01 USDC for both reports). It is best suited for offline/batch analytical processing of savings account data with deposit and withdrawal amounts grouped by instrument category — with no need for live data lookup, predictions, or external enrichment.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-04T18:48:39.354Z","isFirstParty":false,"canonicalSlug":"savings-ledger-string-normalisation-date-by-category-pivot-ea15dd3f"}