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Quick Ratio Benchmark Correlation Calculator
x402
Quick Ratio Benchmark Correlation Calculator is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-14).
Calculates the Pearson correlation between derived quick ratio values and user-supplied benchmark series, returning formula, units, and statistical limitations.
Price / call$0.01
Success—
StatusUnknown
How this service works
Quick ratio - Benchmark correlation: Calculate Pearson correlation against aligned supplied benchmarks; no causal or predictive claim. Metric: Quick 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 benchmark correlation report.
Output
A JSON object containing the computed Pearson correlation coefficient between the derived quick ratio series and the supplied benchmark values, along with the quick ratio formula (cash + marketable securities + receivables) / current liabilities, units of measurement, and explicit statistical limitations (no causal or predictive claims made).
Example use cases
Quarterly liquidity vs industry index
“I have 8 quarters of balance sheet data and an industry liquidity index series — can you compute the Pearson correlation between our quick ratio and that benchmark, and explain the formula and any caveats? Cash ranged from 4000 to 7000, receivables 6000 to 10000, marketable securities 1500 to 3000, current liabilities 9000 to 13000, and the benchmark values are 12, 15, 18, 22, 25, 27, 30, 33.”
Startup quick ratio vs funding cycle benchmark
“We want to see how correlated our startup's quick ratio is with our fundraising round benchmark figures over 6 periods. Here's our data: cash [3000,3500,4000,4500,5000,5500], receivables [2000,2500,3000,3500,4000,4500], marketable securities [500,600,700,800,900,1000], current liabilities [4000,4500,5000,5500,6000,6500], and benchmark series [8,10,13,16,19,22]. Give me the Pearson correlation with formula and limitations.”
Multi-division quick ratio benchmark audit
“I need to audit how aligned our three divisions' quick ratios are against a regulatory benchmark series [5,10,15]. Each division has two reporting periods — division A: cash 2000/2500, receivables 3000/3500, marketable securities 500/600, current liabilities 5000/5500; division B: cash 4000/4500, receivables 6000/6500, marketable securities 1000/1100, current liabilities 8000/8500. Can you run the benchmark correlation and include the formula and any statistical limitations?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-finance-quick-ratio-correlation?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a statistically grounded Pearson correlation between a computed quick ratio time series and an external benchmark, with explicit formula transparency and limitations disclosure. Prefer it over generic spreadsheet tools when you need a structured JSON report with built-in financial formula definitions. Best suited for up to 200 observation pairs where you supply all figures and need a reproducible, auditable correlation metric without live market data or predictive modeling.
Side effects
- Fewer than 2 rows or benchmark values provided — minimum 2 items required
- Mismatched array lengths between rows and benchmarks — correlation requires aligned pairs
- current_liabilities value of zero — schema enforces exclusiveMinimum > 0
- Values exceeding 1,000,000,000,000 — outside allowed range
- Malformed JSON input — returns validation error
- More than 200 rows or benchmark items — exceeds maxItems limit
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| benchmarks | array |
Tags
x402
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