{"uid":"cap_0AJDbLemJ_XDLWvxGk4fF","slug":"days-inventory-outstanding-benchmark-correlation-66d61e59","name":"Days Inventory Outstanding – Benchmark Correlation","description":"Days inventory outstanding - Benchmark correlation: Calculate Pearson correlation against aligned supplied benchmarks; no causal or predictive claim. Metric: Days inventory outstanding. 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 benchmark correlation report.","url":"https://market.datapackvibe.com/x402/assistant-finance-inventory-days-correlation?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["average_inventory","cost_of_sales","period_days"],"properties":{"period_days":{"type":"integer","default":365,"maximum":3660,"minimum":1},"cost_of_sales":{"type":"number","default":30000,"maximum":1000000000000,"minimum":0,"description":"Amount in a consistent supplied currency and reporting period","exclusiveMinimum":0},"average_inventory":{"type":"number","default":5000,"maximum":1000000000000,"minimum":0,"description":"Amount in a consistent supplied currency and reporting period"}},"additionalProperties":false},"default":[{"period_days":365,"cost_of_sales":30000,"average_inventory":5000},{"period_days":402,"cost_of_sales":33000,"average_inventory":5500},{"period_days":365,"cost_of_sales":30000,"average_inventory":5000},{"period_days":402,"cost_of_sales":33000,"average_inventory":5500}],"maxItems":200,"minItems":2},"benchmarks":{"type":"array","items":{"type":"number","default":1,"maximum":1000000000000000000,"minimum":-1000000000000000000},"default":[10,20,30,40],"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_0306iOt0qbkk8nRsaiDtq","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":"Calculates the Pearson correlation between computed Days Inventory Outstanding (DIO) values and a set of user-supplied benchmark figures.","exampleAgentPrompt":"Can you calculate the Pearson correlation between our Days Inventory Outstanding and these benchmarks — [10, 20, 30, 40] — using two periods: one with average inventory of $5,000 and cost of sales of $30,000 over 365 days, and another with $5,500 average inventory and $33,000 cost of sales over 402 days?","exampleUseCases":[{"title":"Retail chain benchmarking DIO performance","prompt":"We have quarterly inventory data for four periods — average inventories of $8,000, $9,500, $7,200, $10,000 with cost of sales of $40,000, $45,000, $38,000, $50,000 all over 90 days each — can you calculate our Days Inventory Outstanding and tell me how correlated it is with industry benchmarks of 55, 60, 58, 65?"},{"title":"Manufacturer comparing DIO to sector targets","prompt":"I have two years of monthly production data: average inventory $120,000 and COGS $600,000 for 30-day periods, repeated across 6 rows. Please correlate the resulting DIO figures against our sector targets of 72, 75, 70, 68, 74, 71 and give me the Pearson correlation with the formula and any limitations noted."},{"title":"CFO validating inventory efficiency against peers","prompt":"Run a Days Inventory Outstanding benchmark correlation for me — we have 3 data points with average inventories of $2M, $2.5M, $1.8M, cost of sales of $10M, $12M, $9M, all over 365-day periods, and I want to compare them against peer benchmarks of 73, 75, 70. What's the Pearson correlation?"}],"resultDescription":"Returns a JSON object containing the computed Pearson correlation coefficient between the calculated DIO values and the supplied benchmark series, along with the formula used, units of measurement, and explicit limitations (e.g. no causal inference, no predictive claims, supplied figures only).","failureModes":["Fewer than 2 rows or benchmark values provided — minimum items not met","Mismatched array lengths between rows and benchmarks may yield undefined correlation","Cost of sales value of zero rejected due to exclusiveMinimum constraint","Values exceeding maximum bounds (1 trillion) cause validation errors","Benchmark array length not aligned with rows array length — correlation may be meaningless"],"whenToPreferThis":"Choose this endpoint when you need a quick, statistically bounded Pearson correlation between computed Days Inventory Outstanding figures and a parallel series of benchmark values, and you want the output to include the formula, units, and explicit limitations — all from supplied data with no live feed dependency. It is particularly suited for financial reporting workflows, CFO dashboards, or supply chain audits where a cost-efficient ($0.01 USDC) single-report correlation suffices and no causal or predictive analysis is required.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T00:56:08.628Z","isFirstParty":false,"canonicalSlug":"days-inventory-outstanding-benchmark-correlation-66d61e59"}