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Business Location Inventories — Trailing Mean Series + Keyed Dataset Comparison
x402
Business Location Inventories — Trailing Mean Series + Keyed Dataset Comparison 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 mean time series and a keyed dataset comparison for up to 200 rows of business location inventory data (location_count, verified_locations), returning two analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Business location inventories — Trailing mean series + Keyed dataset comparison: Trailing mean series + Keyed dataset comparison 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 smoothed values for the selected field (location_count or verified_locations) over the date-ordered rows, and (2) a keyed dataset comparison that aligns the primary and secondary datasets by row_id/company_group and highlights differences in the selected metric. Both reports are computed locally with no external lookups.
Example use cases
Retail chain expansion trend analysis
“I have two months of weekly location_count and verified_locations data for our retail chain across three company groups — can you compute a trailing mean series on location_count and compare this month's numbers against last month's by row key to see where we're growing?”
Franchise verification coverage audit
“Compare our verified_locations figures from Q1 versus Q2 across company groups using a keyed comparison, and also give me the trailing mean for verified_locations so I can spot which groups are consistently improving their verification rates.”
Multi-brand location inventory benchmarking
“I have two separate datasets of business location inventories for brand A and brand B — each with about 80 rows of daily location_count data — please run a trailing mean series on location_count and a keyed comparison between the two brands so I can benchmark their footprint growth.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-05-153?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a rolling/trailing mean time series AND a side-by-side keyed comparison of two business location inventory datasets in a single API call. It is purpose-built for location_count and verified_locations metrics, handles up to 200 rows, and runs entirely on local analytical engines with no live data lookups — making it fast, deterministic, and cost-effective at $0.01 USDC for both reports. Prefer it over generic statistics APIs when your data is structured around company groups, dates, and location inventory fields.
Side effects
- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, date, company_group) cause validation errors
- Invalid date format (not YYYY-MM-DD) triggers schema rejection
- Null values in location_count or verified_locations may affect mean calculation accuracy
- Mismatched row keys between primary and comparison datasets result in unmatched rows in comparison report
- Field selector not matching enum values (location_count or verified_locations) causes rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| other | array | |
| window | integer |
Tags
x402
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