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Receivables Turnover Distribution Histogram
x402
Receivables Turnover 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 receivables turnover observations into equal-width histogram bins, returning bin edges, frequencies, the formula, units, and limitations.
Price / call$0.01
Success—
StatusUnknown
How this service works
Receivables turnover - Distribution histogram: Bin up to 200 calculated observations into equal-width bins, including edge definitions. Metric: Receivables turnover. 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
A JSON response containing the histogram bin definitions (edges and widths), observation counts per bin, the calculated receivables turnover values used, the formula applied (net_credit_sales / average_receivables), units, and any limitations of the analysis.
Example use cases
Portfolio receivables turnover spread analysis
“I have 80 company records each with net credit sales and average receivables — can you bucket the calculated receivables turnover ratios into 8 equal-width histogram bins so I can see how the values are distributed across the portfolio?”
Quarterly trend distribution for a single firm
“Here are 24 quarters of net credit sales and average receivables data for our company. Bin the receivables turnover ratios into 6 histogram bins and show me the edges and counts so I can spot any skew over the years.”
Benchmarking turnover distribution across industry peers
“I've collected net credit sales and average receivables for 150 industry peers. Create a 15-bin histogram of their receivables turnover ratios so I can see where most companies cluster and identify outliers.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-finance-receivable-turnover-histogram?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to understand the frequency distribution of receivables turnover across multiple observations (periods, companies, or scenarios) rather than a single point calculation. It is ideal for spotting clustering, skew, and outliers across a dataset of up to 200 records. Prefer it over single-calculation or ranking endpoints when the shape of the distribution matters, not just individual values or rankings.
Side effects
- Fewer than 2 rows supplied — minimum 2 observations required
- average_receivables of 0 causes division-by-zero — exclusiveMinimum enforced
- More than 200 rows supplied — exceeds maximum item count
- bins parameter outside 1–30 range returns validation error
- Non-numeric or missing required fields net_credit_sales or average_receivables returns schema error
- Payment of 0.01 USDC not settled causes 402 Payment Required response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array |
Tags
x402
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