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Disposable-Income Saving Rate Distribution Histogram
x402
Disposable-Income Saving Rate 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 2026-10-22).
Bins up to 200 disposable-income saving rate observations into equal-width histogram bins, returning bin edges, counts, formula, units, and limitations as JSON.
Price / call$0.01
Success—
StatusUnknown
How this service works
Disposable-income saving rate - Distribution histogram: Bin up to 200 calculated observations into equal-width bins, including edge definitions. Metric: Disposable-income saving rate. 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 (lower and upper edges), observation counts per bin, the saving rate formula used, the units of measurement, and stated limitations of the calculation. Up to 30 bins can be requested for up to 200 input rows.
Example use cases
Household savings distribution analysis
“I've collected disposable income and spending figures for 50 households. Can you bin their saving rates into 10 equal-width histogram buckets so I can see how savings behavior is distributed across the group?”
Corporate payroll savings rate spread
“I have quarterly disposable income and outlay data for 80 employees. Please create a saving rate histogram with 6 bins so I can understand the spread and identify any clustering at low or high saving rates.”
Macro dataset frequency report
“Here are 150 rows of national disposable income and household outlays from my dataset — bin the implied saving rates into 15 equal-width intervals and give me the bin edges and observation counts for each bucket.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-finance-saving-rate-histogram?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a statistical frequency distribution (histogram) of saving rates computed from raw disposable income and outlay pairs, specifically when you want bin edges and counts rather than summary statistics or a single saving rate value. It is ideal for visualizing how saving rates cluster or spread across a population of up to 200 observations. Prefer it over batch calculation endpoints when your goal is distributional insight rather than per-row results.
Side effects
- Fewer than 2 rows supplied — minimum observation count not met
- disposable_income set to zero or negative — violates exclusiveMinimum constraint
- bins value outside 1–30 range — validation error returned
- More than 200 rows submitted — exceeds maxItems limit
- Missing required fields disposable_income or outlays in any row — schema validation failure
- Inconsistent currency or reporting period across rows — results may be misleading but no error raised
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array |
Tags
x402
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