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Business Location Inventories — Trailing Mean Series + Date by Category Pivot
x402
Business Location Inventories — Trailing Mean Series + Date by Category Pivot is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-19).
Computes a trailing moving average series and a date-by-category pivot table for user-supplied business location inventory records (location_count, verified_locations).
Price / call$0.01
Success—
StatusUnknown
How this service works
Business location inventories — Trailing mean series + Date by category pivot: Trailing mean series + Date by category pivot 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 derived from the supplied rows: (1) a trailing mean series showing the rolling average of the chosen field (location_count or verified_locations) per group over the specified window, and (2) a date-by-category pivot table cross-tabulating dates against company groups. Both reports are computed locally on the submitted data with no external lookups.
Example use cases
Smoothing weekly store rollout counts
“I have daily location_count entries for two retail groups over the past month — can you compute a trailing mean with a window of 7 so I can see the smoothed expansion trend for each group?”
Pivot location data by date and segment
“Take my verified_locations records for group-a and group-b across Q4 dates and give me a pivot table showing each date as a row and each company group as a column — use a window of 2 for the trailing mean as well.”
Identifying inventory anomalies by category
“I want to see both a rolling 5-day average and a date-by-group pivot for our location_count figures across 3 business segments — here are 150 rows of data. Can you run both reports at once on the location_count field?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-05-152?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have pre-collected business location inventory records (with location_count and/or verified_locations per company group and date) and need both a rolling mean time series and a pivot table in a single API call. Ideal for offline or batch analytical workflows where no external data lookup, prediction, or real-time enrichment is needed — just local statistical computation on your own supplied rows. Best suited for up to 200 rows of multi-group, multi-date location data.
Side effects
- Fewer than 1 row submitted — request rejected
- More than 200 rows submitted — exceeds maximum row limit
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Window size less than 2 or greater than 200 — rejected by schema
- Field value not one of 'location_count' or 'verified_locations' — enum validation error
- Null values in numeric fields may produce incomplete rolling averages
- Missing required row fields (row_id, company_group, date) — validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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