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Deflator-Adjusted GDP Distribution Histogram
x402
Deflator-Adjusted GDP 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 deflator-adjusted (real) GDP observations into equal-width histogram bins with edge definitions, returning a JSON report including formula, units, and limitations.
Price / call$0.01
Success—
StatusUnknown
How this service works
Deflator-adjusted GDP - Distribution histogram: Bin up to 200 calculated observations into equal-width bins, including edge definitions. Metric: Deflator-adjusted GDP. 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 assignments and edge definitions for up to 200 deflator-adjusted (real) GDP observations, along with the formula used to compute real GDP from nominal GDP and deflator, the units, and stated limitations of the calculation.
Example use cases
Country GDP distribution analysis
“I have nominal GDP and deflator data for 40 countries — can you bin the real GDP figures into 10 equal-width histogram buckets so I can see how those economies are distributed?”
Historical GDP spread over decades
“Here are 80 annual nominal GDP and deflator observations for the US from 1940 to 2023 — please create a 15-bin distribution histogram of the deflator-adjusted GDP values so I can see how the spread has shifted.”
Regional economic comparison
“I've got real GDP inputs for 25 regions — nominal GDP and a base-100 deflator for each — can you put them into 5 equal-width bins and tell me the bin edges, formula used, and any limitations?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-finance-real-gdp-histogram?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have multiple deflator-adjusted GDP data points and need to understand their statistical distribution through equal-width histogram binning. It is ideal for economic research, country comparisons, or time-series analysis where visualizing frequency distribution of real GDP is the goal. Prefer this over single-calculation or ranking endpoints when distribution shape (spread, skewness, clustering) matters more than individual values or rank ordering.
Side effects
- Fewer than 2 rows supplied — minimum 2 observations required
- More than 200 rows supplied — exceeds maximum input limit
- deflator_base_100 is zero or negative — field has exclusiveMinimum of 0
- bins value outside 1–30 range — returns validation error
- Missing required fields nominal_gdp or deflator_base_100 in any row — request rejected
- Non-numeric values in numeric fields — schema validation failure
- Payment not included or insufficient — x402 payment required at $0.01 USDC
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array |
Tags
x402
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