{"uid":"cap_d6jBLy6rqvPLWOBMvFNC3","slug":"financial-statement-inputs-record-quality-audit-adjacent-row-changes-b8dee4f6","name":"Financial Statement Inputs — Record Quality Audit + Adjacent Row Changes","description":"Financial statement inputs — Record quality audit + Adjacent row changes: Record quality audit + Adjacent row changes for supplied financial statement inputs records (revenue_amount, expense_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-22-011?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","instrument_group","date","revenue_amount","expense_amount"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"expense_amount":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"revenue_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","expense_amount":1,"revenue_amount":10,"instrument_group":"group-a"},{"date":"2026-10-02","row_id":"row-2","expense_amount":2,"revenue_amount":20,"instrument_group":"group-b"},{"date":"2026-10-03","row_id":"row-3","expense_amount":3,"revenue_amount":15,"instrument_group":"group-a"},{"date":"2026-10-04","row_id":"row-4","expense_amount":4,"revenue_amount":30,"instrument_group":"group-b"}],"maxItems":200,"minItems":1},"field":{"enum":["revenue_amount","expense_amount"],"type":"string","default":"revenue_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_3oBhAvcFiRubEKI8hofS4","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 financial statement rows: a record quality audit and adjacent row change detection for revenue and expense amounts.","exampleAgentPrompt":"Can you run a record quality audit and adjacent row change report on these financial statement rows — I have up to 50 rows with revenue_amount and expense_amount fields, and I want to check the revenue_amount column specifically?","exampleUseCases":[{"title":"Monthly revenue ledger quality check","prompt":"I've got 80 rows of monthly revenue and expense entries grouped by instrument category — can you audit them for record quality issues and flag where revenue_amount changes significantly between consecutive rows?"},{"title":"Expense data validation before reporting","prompt":"Before I finalize our quarterly report, can you run a quality audit and adjacent row change analysis on these 120 expense records to make sure the expense_amount data is clean and consistent across rows?"},{"title":"Detecting anomalies in sequential financial inputs","prompt":"I have a series of daily financial statement inputs with revenue and expense amounts — can you check them for data quality problems and show me where the expense_amount jumps or drops between adjacent rows?"}],"resultDescription":"Returns two independent analytical reports: (1) a record quality audit flagging issues such as missing, null, or out-of-range values in the specified field across up to 200 rows, and (2) an adjacent row changes report showing row-over-row differences in the selected field (revenue_amount or expense_amount), all computed locally with no external data lookup.","failureModes":["More than 200 rows submitted — exceeds maxItems limit","Missing required fields (row_id, instrument_group, date, revenue_amount, expense_amount) in any row","Invalid date format (must match YYYY-MM-DD pattern)","Field value outside allowed range (-1,000,000,000,000 to 1,000,000,000,000)","Invalid field selector (must be revenue_amount or expense_amount)","Empty rows array (minItems is 1)"],"whenToPreferThis":"Choose this endpoint when you need two complementary analytical reports on financial statement input rows — data quality auditing plus sequential change detection — in a single low-cost call. It is best when you have structured tabular financial data with revenue and expense columns, need offline/local analysis with no external dependencies, and want to process up to 200 rows for $0.01 USDC. Prefer alternatives if you need real-time market data, predictive modeling, professional financial assessment, or more than 200 rows per call.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-30T12:38:13.274Z","isFirstParty":false,"canonicalSlug":"financial-statement-inputs-record-quality-audit-adjacent-row-changes-b8dee4f6"}