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Business Location Inventories — Equal-Width Histogram + Explicit Missing-Value Fill
x402
Business Location Inventories — Equal-Width Histogram + Explicit Missing-Value Fill is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-15).
Generates equal-width histogram distributions and fills missing values (zero, mean, or median) for business location inventory fields (location_count, verified_locations) across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Business location inventories — Equal-width histogram + Explicit missing-value fill: Equal-width histogram + Explicit missing-value fill for supplied business location inventories records (location_count, verified_locations). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.
Output
Returns two analytical reports: (1) an equal-width histogram showing bin boundaries and counts for the selected field (location_count or verified_locations), and (2) a dataset with missing values explicitly filled using the chosen method (zero, mean, or median). Both reports are computed locally from the supplied rows with no external data lookups.
Example use cases
Distribution analysis of retail location counts
“I have 150 rows of retail chain location data with some nulls in location_count — can you fill those with the mean and then build a 10-bin equal-width histogram so I can see how locations are distributed across my company groups?”
Verified location coverage audit
“Run a histogram on the verified_locations field in my inventory dataset using 5 bins, and fill any missing verified_locations values with zero so I can spot which ranges have the least coverage.”
Multi-group inventory spread comparison
“I want to understand the spread of location_count values across my business groups — please use median imputation for any missing values and generate an equal-width histogram with 7 bins from my 80-row dataset.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-05-175?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of business location inventory data (location_count or verified_locations) and need both a distribution histogram and missing-value imputation in a single call, without requiring any external data sources, live lookups, or predictions. It is particularly suited for lightweight, self-contained analytical tasks on structured tabular location data where you want to control the number of histogram bins and the imputation strategy.
Side effects
- More than 200 rows submitted — request rejected, exceeds row limit
- Invalid date format (not YYYY-MM-DD) — validation error
- Unsupported fill method or field enum value — schema validation failure
- Empty rows array — minimum 1 row required
- bins value outside 1–30 range — rejected by schema constraints
- Numeric values outside ±1,000,000,000,000 — rejected by schema bounds
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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