{"uid":"cap_3aBcvKQpuC4ybi4Zv9dOS","slug":"cash-ratio-iqr-outlier-flags-calculator-299be044","name":"Cash Ratio IQR Outlier Flags Calculator","description":"Cash ratio - IQR outlier flags: Flag observations beyond 1.5 times the interquartile range; statistical flags are not errors or fraud findings. Metric: Cash ratio. Supplied figures only; returns JSON with formula, units and limitations. One of 50 calculators with 20 analysis modes. No live feed, financial advice or trade execution. 0.01 USDC includes one bounded iqr outlier flags report.","url":"https://market.datapackvibe.com/x402/assistant-finance-cash-ratio-outliers?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["cash_and_equivalents","current_liabilities"],"properties":{"current_liabilities":{"type":"number","default":10000,"maximum":1000000000000,"minimum":0,"description":"Amount in a consistent supplied currency and reporting period","exclusiveMinimum":0},"cash_and_equivalents":{"type":"number","default":5000,"maximum":1000000000000,"minimum":0,"description":"Amount in a consistent supplied currency and reporting period"}},"additionalProperties":false},"default":[{"current_liabilities":10000,"cash_and_equivalents":5000},{"current_liabilities":11000,"cash_and_equivalents":5500},{"current_liabilities":10000,"cash_and_equivalents":5000},{"current_liabilities":11000,"cash_and_equivalents":5500}],"maxItems":200,"minItems":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_EE3tXlgOLfTrkP3seTxgP","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":"Flags cash ratio observations that fall beyond 1.5× the interquartile range, identifying statistical outliers in a dataset of company financials.","exampleAgentPrompt":"I have a dataset of 8 companies with their cash-and-equivalents and current liabilities — can you run IQR outlier detection on their cash ratios and flag which observations fall beyond 1.5 times the interquartile range? Here are the rows: [{cash_and_equivalents: 5000, current_liabilities: 10000}, {cash_and_equivalents: 50000, current_liabilities: 10000}, {cash_and_equivalents: 5500, current_liabilities: 11000}, {cash_and_equivalents: 4800, current_liabilities: 9800}, {cash_and_equivalents: 5200, current_liabilities: 10200}, {cash_and_equivalents: 5100, current_liabilities: 10100}, {cash_and_equivalents: 4900, current_liabilities: 9900}, {cash_and_equivalents: 5300, current_liabilities: 10300}].","exampleUseCases":[{"title":"Peer group liquidity screening","prompt":"I have balance sheet data for 12 peer companies — cash and equivalents plus current liabilities for each. Can you flag which ones have cash ratios that are statistical outliers using the 1.5 IQR rule? Here are the rows: [{cash_and_equivalents:8000,current_liabilities:20000},{cash_and_equivalents:9500,current_liabilities:19000},{cash_and_equivalents:200000,current_liabilities:21000},{cash_and_equivalents:7800,current_liabilities:20500},{cash_and_equivalents:8200,current_liabilities:19500},{cash_and_equivalents:8100,current_liabilities:20100},{cash_and_equivalents:7900,current_liabilities:20200},{cash_and_equivalents:8050,current_liabilities:19800},{cash_and_equivalents:8300,current_liabilities:20300},{cash_and_equivalents:7700,current_liabilities:20400},{cash_and_equivalents:8400,current_liabilities:19700},{cash_and_equivalents:100,current_liabilities:20000}]."},{"title":"Quarterly data quality check","prompt":"Before I finalize my quarterly report, can you run an IQR outlier check on these 6 quarters of cash ratio data to see if any period looks statistically anomalous? Rows: [{cash_and_equivalents:12000,current_liabilities:40000},{cash_and_equivalents:13000,current_liabilities:41000},{cash_and_equivalents:11500,current_liabilities:39000},{cash_and_equivalents:12500,current_liabilities:40500},{cash_and_equivalents:120000,current_liabilities:40000},{cash_and_equivalents:12200,current_liabilities:40200}]."},{"title":"Portfolio company benchmarking","prompt":"I'm reviewing 10 portfolio companies and want to know which ones have cash ratios that are outliers relative to the group — use the 1.5 IQR method on these observations: [{cash_and_equivalents:5000,current_liabilities:10000},{cash_and_equivalents:5500,current_liabilities:11000},{cash_and_equivalents:4800,current_liabilities:9800},{cash_and_equivalents:5200,current_liabilities:10200},{cash_and_equivalents:5100,current_liabilities:10100},{cash_and_equivalents:4900,current_liabilities:9900},{cash_and_equivalents:5300,current_liabilities:10300},{cash_and_equivalents:5400,current_liabilities:10400},{cash_and_equivalents:50000,current_liabilities:10000},{cash_and_equivalents:4700,current_liabilities:9700}]."}],"resultDescription":"Returns a JSON object containing: per-row cash ratio values, IQR outlier flags indicating which observations fall beyond 1.5× the interquartile range, the formula used to compute the cash ratio, units, and a limitations disclaimer clarifying these are statistical flags rather than error or fraud findings.","failureModes":["Fewer than 2 rows supplied — minimum of 2 observations required","current_liabilities of 0 or negative — excluded by schema (exclusiveMinimum: 0)","More than 200 rows submitted — exceeds maxItems limit","Non-numeric values in cash_and_equivalents or current_liabilities fields","Values exceeding 1,000,000,000,000 — above schema maximum"],"whenToPreferThis":"Choose this endpoint when you need a fast, statistically grounded IQR outlier detection pass on a batch of cash ratio observations (2–200 rows) and want a structured JSON result with formula and limitations included. Prefer it over manual calculation when automating financial data quality checks or peer benchmarking pipelines. Not appropriate for live market data feeds, fraud detection conclusions, or financial advice.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-22T12:46:50.228Z","isFirstParty":false,"canonicalSlug":"cash-ratio-iqr-outlier-flags-calculator-299be044"}