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Quick Ratio Distribution Histogram
x402
Quick Ratio Distribution Histogram is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-23).
Bins up to 200 quick ratio observations into equal-width histogram buckets, returning bin edges, counts, and metric metadata.
Price / call$0.01
Success—
StatusUnknown
How this service works
Quick ratio - Distribution histogram: Bin up to 200 calculated observations into equal-width bins, including edge definitions. 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 distribution histogram report.
Output
Returns a JSON object containing the histogram bin edges, observation counts per bin, the quick ratio formula used, units, and any limitations of the calculation. Each bin represents an equal-width interval of quick ratio values.
Example use cases
Portfolio liquidity spread analysis
“I have balance sheet snapshots for 50 companies — cash, marketable securities, receivables, and current liabilities for each. Can you bin their quick ratios into 8 equal-width buckets so I can see how liquidity is distributed across the portfolio?”
Quarterly trend bucketing for one firm
“Here are 20 quarters of data for our company — cash, marketable securities, accounts receivable, and current liabilities each quarter. Generate a quick ratio histogram with 5 bins so I can see which ratio ranges we've fallen into most often.”
Peer group benchmarking histogram
“I've got financial figures for 30 peer companies from the same reporting period — cash, short-term investments, receivables, and current liabilities. Bucket their quick ratios into 15 bins and tell me where most firms cluster.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-finance-quick-ratio-histogram?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need a statistical frequency distribution of quick ratio values across multiple observations rather than a single ratio calculation. It is ideal for portfolio-level liquidity analysis, peer benchmarking, or trend analysis over many periods where understanding the shape and spread of the ratio distribution matters. Prefer it over a single-record calculator when you have 2–200 data points and want binned output with edge definitions.
Side effects
- Fewer than 2 rows supplied — minimum 2 observations required
- current_liabilities set to 0 or missing — division by zero not permitted (exclusiveMinimum enforced)
- More than 200 rows submitted — exceeds maximum batch size
- Bins value outside 1–30 range — returns validation error
- Non-numeric or missing required fields (cash, marketable_securities, receivables, current_liabilities) — schema validation failure
- Payment not included or insufficient — 402 payment required response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array |
Tags
x402
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