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Business Location Inventories — Trailing Mean Series + Adjacent Row Changes
x402
Business Location Inventories — Trailing Mean Series + Adjacent Row Changes 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 trailing moving-average series and adjacent-row delta changes for business location inventory data (location_count, verified_locations) across up to 200 supplied rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Business location inventories — Trailing mean series + Adjacent row changes: Trailing mean series + Adjacent row changes 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) a trailing mean series showing rolling averages of the selected field over the specified window for each row/group, and (2) adjacent row changes showing the difference between consecutive rows for the selected field — both computed locally on the supplied data with no external lookups.
Example use cases
Franchise location growth tracking
“I've got 90 rows of daily franchise location counts across 3 company groups — can you compute a trailing mean with window size 5 and show me the day-over-day changes for location_count so I can spot growth trends?”
Verified location audit over time
“Run a trailing mean series (window of 10) and adjacent row changes on my verified_locations data for the past 60 dates across two company groups — I want to see where verification numbers are rising or dropping sharply.”
Multi-group inventory smoothing
“I have 200 rows of business location inventory records split across group-a and group-b — please calculate a rolling mean with window 14 and the between-row deltas for location_count so I can identify seasonal patterns.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-05-146?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a smoothed rolling-average time series AND consecutive-row difference analysis on business location inventory data in a single API call. It is purpose-built for location_count and verified_locations fields, handles up to 200 rows per call, and runs entirely on supplied data with no external dependencies — making it fast, deterministic, and suitable for offline or privacy-sensitive analysis.
Side effects
- Fewer than 1 row supplied — minimum row count not met
- More than 200 rows submitted — exceeds maximum batch size
- Window size larger than number of rows — trailing mean cannot be computed
- Invalid date format not matching YYYY-MM-DD pattern — schema validation error
- Missing required fields (row_id, date, location_count, verified_locations) — request rejected
- Null values in numeric fields may affect mean and delta calculations
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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