{"uid":"cap_k1_y1DDLTYVY0Ejd1DnW3","slug":"financial-statement-inputs-record-quality-audit-numeric-interval-filter-b7286eb1","name":"Financial Statement Inputs — Record Quality Audit + Numeric Interval Filter","description":"Financial statement inputs — Record quality audit + Numeric interval filter: Record quality audit + Numeric interval filter 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-22-008?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"},"maximum":{"type":"number","default":100,"maximum":1000000000000,"minimum":-1000000000000},"minimum":{"type":"number","default":0,"maximum":1000000000000,"minimum":-1000000000000}}},"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_hNoennjl5k4klhuSYBx2h","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":"Audits data quality and filters by numeric interval for financial statement rows containing revenue and expense amounts","exampleAgentPrompt":"Can you run a record quality audit and numeric interval filter on my financial statement data? I have 4 rows with revenue_amount and expense_amount — filter on revenue_amount between 0 and 100, and flag any quality issues across all rows.","exampleUseCases":[{"title":"Pre-load financial data validation","prompt":"Before I import this quarter's P&L data into our reporting system, can you run a quality audit on these 150 rows of revenue and expense amounts and also filter out any rows where expense_amount falls outside the range of 0 to 500000?"},{"title":"Identify anomalous revenue entries","prompt":"I have 80 rows of financial statement data with instrument groups and dates — can you audit the record quality and filter revenue_amount to only show rows between 10000 and 2000000 so I can spot anything unusual?"},{"title":"Expense data cleansing before reconciliation","prompt":"Run a data quality check on these 30 financial rows I'm about to reconcile — I want to see the audit report for the full dataset plus a filter on expense_amount between -50000 and 0 to catch any negative expense entries."}],"resultDescription":"Returns two independent reports for up to 200 submitted rows: (1) a record quality audit identifying issues such as missing, null, or malformed values in revenue_amount and expense_amount fields; and (2) a numeric interval filter report listing which rows fall within the specified minimum-to-maximum range for the chosen field (revenue_amount or expense_amount).","failureModes":["Submitting more than 200 rows returns an error or truncation","Missing required fields (row_id, date, instrument_group) causes row-level validation failure","Date values not matching YYYY-MM-DD pattern are rejected","Minimum value greater than maximum value may produce empty filter results or an error","Revenue or expense amounts outside ±1,000,000,000,000 are rejected by schema validation","Empty rows array is not accepted (minItems: 1)"],"whenToPreferThis":"Choose this endpoint when you need a combined data quality audit and numeric range filter specifically for financial statement records (revenue and expense amounts) with up to 200 rows. It is ideal for pre-processing or validating structured financial data locally without any external lookups, predictions, or professional assessments. Prefer this over generic data tools when your data fits the instrument_group/date/revenue/expense schema and you want two reports (quality + interval filter) in a single low-cost call.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T12:36:05.663Z","isFirstParty":false,"canonicalSlug":"financial-statement-inputs-record-quality-audit-numeric-interval-filter-b7286eb1"}