{"uid":"cap_Vj3m9q7CqKtBWzHsBvtQw","slug":"savings-ledger-string-normalisation-trailing-mean-series-0d90a5a5","name":"Savings Ledger — String Normalisation + Trailing Mean Series","description":"Savings ledger — String normalisation + Trailing mean series: String normalisation + Trailing mean series 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-23-028?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"},"window":{"type":"integer","default":2,"maximum":200,"minimum":2}}},"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_Adyp8jPaVMwW1Vbhi7Tuf","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 two local analytical reports on savings ledger rows: string normalisation of categorical fields and a trailing moving-average series for deposit or withdrawal amounts.","exampleAgentPrompt":"Can you run string normalisation and a trailing mean series on my savings ledger? I have 50 rows with deposit_amount and withdrawal_amount fields — use a window of 5 and compute the trailing mean on deposit_amount.","exampleUseCases":[{"title":"Smooth monthly deposit trends","prompt":"I have 120 rows of savings ledger data with dates and deposit amounts — can you compute a trailing mean series with a window of 6 on deposit_amount so I can see smoothed monthly trends?"},{"title":"Clean instrument group labels","prompt":"My savings ledger has messy instrument_group strings across 80 rows — please run string normalisation on those labels so they're consistent, along with a trailing mean on withdrawal_amount using a window of 3."},{"title":"Audit withdrawal volatility","prompt":"Can you analyse my 200-row savings ledger by running a trailing mean series on withdrawal_amount with a window of 10 and normalise the instrument_group strings at the same time?"}],"resultDescription":"Returns two reports for up to 200 supplied rows: (1) a string normalisation report standardising categorical text fields such as instrument_group, and (2) a trailing moving-average series for the selected numeric field (deposit_amount or withdrawal_amount) computed over the specified rolling window. No external data is fetched; all analysis is performed locally on the supplied data.","failureModes":["Fewer than 1 row supplied — minimum 1 row required","More than 200 rows supplied — exceeds maximum batch size","Invalid date format (must match YYYY-MM-DD pattern)","Missing required fields: row_id, instrument_group, date, deposit_amount, or withdrawal_amount","Window size less than 2 or greater than 200","Invalid field selector — must be 'deposit_amount' or 'withdrawal_amount'","Numeric values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000)"],"whenToPreferThis":"Choose this endpoint when you need two complementary analytical reports on savings ledger data — string normalisation of categorical columns and a rolling mean series for a numeric field — in a single low-cost call. It is best suited for offline, batch-style analysis of up to 200 rows with no need for live market data, predictions, or external lookups.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-30T12:38:54.248Z","isFirstParty":false,"canonicalSlug":"savings-ledger-string-normalisation-trailing-mean-series-0d90a5a5"}