{"uid":"cap_WxTQeV_1QCGuJOKeN1fbW","slug":"savings-ledger-numeric-row-ordering-explicit-missing-value-fill-58f7ba21","name":"Savings Ledger — Numeric Row Ordering + Explicit Missing-Value Fill","description":"Savings ledger — Numeric row ordering + Explicit missing-value fill: Numeric row ordering + Explicit missing-value fill 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-23-124?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"},"method":{"enum":["zero","mean","median"],"type":"string","default":"median"}}},"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_6xSEBBuVPCfxu0cDWNIvX","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":"Sorts savings ledger rows numerically and fills missing deposit_amount or withdrawal_amount values using zero, mean, or median imputation — returns two analytical reports for up to 200 rows.","exampleAgentPrompt":"I have a savings ledger with up to 50 rows including some null deposit_amount values — can you sort the rows numerically and fill in all the missing deposit_amount entries using median imputation, then give me the two analytical reports?","exampleUseCases":[{"title":"Monthly savings ledger cleanup","prompt":"I have my monthly savings ledger with 80 rows, some of which have missing deposit_amount values. Can you sort all the rows in numeric order and fill in those missing deposit amounts using the median of the existing ones? I need both reports."},{"title":"Withdrawal gap filling for reconciliation","prompt":"My savings ledger has about 30 entries and several withdrawal_amount fields are blank. Can you order the rows numerically and impute those missing withdrawal amounts using a zero fill, then return the two analytical reports?"},{"title":"Multi-group savings data preparation","prompt":"I've got a savings ledger with 120 rows across multiple instrument groups and some null deposit_amount fields. Please sort them numerically and fill the missing deposit values using mean imputation — I need both the resulting reports."}],"resultDescription":"Two analytical reports covering the submitted savings ledger records: one reflecting numerically ordered rows and one with explicit missing-value fill applied to the chosen field (deposit_amount or withdrawal_amount) using the selected method (zero, mean, or median). No external data is fetched; all processing is performed locally on the submitted rows.","failureModes":["Exceeding 200 rows causes rejection or truncation","Invalid date format (not YYYY-MM-DD) will fail schema validation","Missing required fields (row_id, instrument_group, date) cause row-level errors","Unknown fill method or field enum value causes input validation failure","Empty rows array (minItems:1 not met) returns error"],"whenToPreferThis":"Choose this endpoint when you have raw savings ledger records with null deposit or withdrawal amounts and need deterministic numeric sorting plus imputed fill — without any live data lookup, prediction, or external enrichment. Ideal for offline data preparation pipelines where reproducibility matters and costs must stay minimal ($0.01 per call for two reports on up to 200 rows).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T12:33:31.964Z","isFirstParty":false,"canonicalSlug":"savings-ledger-numeric-row-ordering-explicit-missing-value-fill-58f7ba21"}