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Return on Average Assets – Distribution Histogram
x402
Return on Average Assets – 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 return-on-average-assets (ROAA) observations into equal-width histogram bins and returns bin edges, counts, formula, units, and limitations as JSON.
Price / call$0.01
Success—
StatusUnknown
How this service works
Return on average assets - Distribution histogram: Bin up to 200 calculated observations into equal-width bins, including edge definitions. Metric: Return on average assets. 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 object containing the histogram bin edges (lower and upper bounds for each equal-width bin), observation counts per bin, the ROAA formula used (net income / average assets), the units of the metric, and any stated limitations of the calculation.
Example use cases
Bank peer ROAA comparison
“I have net income and average assets for 50 regional banks over the last quarter — can you bin their ROAA values into 10 equal-width histogram buckets and tell me how the distribution looks, including the bin edges and counts?”
Multi-period profitability spread
“Here are 24 quarters of net income and average assets for our firm. Bin the resulting ROAA figures into 6 histogram bins so I can see whether profitability is clustered tightly or spread out over time.”
Investment portfolio asset-return analysis
“I've got ROAA inputs for 150 companies in our portfolio — net income and average assets for each. Create a 20-bin distribution histogram so I can identify outliers and see where most firms cluster.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-finance-return-assets-histogram?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have a batch of raw net income and average assets observations and need a ready-made frequency distribution (histogram) of ROAA values — especially when you want bin edges pre-computed and metadata (formula, units, limitations) bundled in one call. Prefer it over a generic statistics API when you specifically need ROAA semantics and a finance-oriented JSON response rather than writing your own binning logic.
Side effects
- Fewer than 2 rows supplied — minimum row requirement not met
- average_assets value of zero or negative — excluded by exclusiveMinimum constraint
- net_income or average_assets outside ±1 trillion range — value rejected
- bins parameter above 30 or below 1 — clamped or rejected
- Rows array exceeds 200 items — request rejected
- Malformed row objects missing required fields net_income or average_assets — validation error
- Payment of 0.01 USDC not settled — 402 response before processing
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array |
Tags
x402
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