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Business Location Inventories — Trailing Mean Series + Explicit Missing-Value Fill
x402
Business Location Inventories — Trailing Mean Series + 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).
Computes a trailing moving-average time series and fills missing values in business location inventory data (location_count, verified_locations) for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Business location inventories — Trailing mean series + Explicit missing-value fill: Trailing mean series + 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: a trailing mean time series for the selected field (location_count or verified_locations) computed over the specified window, and an explicit missing-value fill pass using zero, mean, or median strategy — both applied to the supplied rows (up to 200), grouped and ordered by date and company_group.
Example use cases
Smoothing multi-site location growth trends
“I have daily location_count data across two company groups for the past 3 months — can you compute a trailing mean series with a window of 14 and fill any gaps using the mean method so I can see a smooth growth trend?”
Verified location data gap imputation
“My verified_locations dataset has some null values scattered across dates — can you apply a trailing mean window of 5 and fill those missing entries using median so my report doesn't have holes in it?”
Comparing smoothed inventory across company groups
“I want to compare smoothed location_count trends for group-a and group-b over the last quarter — can you run a trailing mean with window size 10 and zero-fill any missing values so all dates line up?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-05-154?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a trailing rolling-average smoothing pass and a missing-value fill operation on business location inventory fields (location_count or verified_locations) in a single call. It is well-suited for agents preparing location data for trend reporting or dashboards where nulls must be imputed and raw values need smoothing before visualization. Use it over general-purpose statistical libraries when you want a cost-effective, hosted computation that handles two analytical passes in one payment.
Side effects
- Fewer than 1 row supplied — request rejected
- More than 200 rows submitted — exceeds maximum row limit
- Invalid date format (non-YYYY-MM-DD) causes row-level rejection
- Window size less than 2 or greater than 200 is rejected
- Missing required fields row_id or date causes schema validation failure
- Payment not provided or insufficient USDC amount causes 402 error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string | |
| window | integer |
Tags
x402
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