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Business Location Inventories — Base-100 Series + IQR Outlier Flags
x402
Business Location Inventories — Base-100 Series + IQR Outlier Flags 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 Base-100 indexed time series and IQR-based outlier flags for business location inventory metrics (location_count, verified_locations) across up to 200 supplied rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Business location inventories — Base-100 series + IQR outlier flags: Base-100 series + IQR outlier flags 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 Base-100 indexed series showing each row's metric value relative to the chosen base row (scaled to 100), and (2) IQR outlier flags identifying rows whose values fall outside the interquartile range bounds — both computed over the supplied rows for the selected field (location_count or verified_locations).
Example use cases
Retail chain expansion benchmarking
“I have monthly location_count and verified_locations data for two retail groups across the past year. Can you normalize the location_count to a base-100 index starting from the first row and flag any months that are outliers using IQR?”
Franchise verification audit
“Here's my franchise location data with company_group, date, location_count, and verified_locations for 150 rows. Run the IQR outlier detection on verified_locations so I can see which records look anomalous.”
Store rollout growth tracking
“I want to track our store rollout progress — I have daily location_count data for two company groups over the past quarter. Please index it to base-100 starting at row 0 and also flag any IQR outliers in the location_count field.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-05-164?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular business location inventory data (location_count, verified_locations) and need both a baseline-normalized index series and statistical outlier detection in a single call for up to 200 rows. Prefer it over generic analytics tools when you want a low-cost, fast, no-external-lookup computation that works entirely on your supplied data without sending it to a live data provider.
Side effects
- Exceeds 200-row limit — request rejected
- Missing required fields (row_id, date, company_group, location_count, verified_locations) — validation error
- Invalid date format (not YYYY-MM-DD) — parse error
- base_index out of range (>= number of rows) — index error
- All values null for selected field — unable to compute series or IQR
- Payment not received or insufficient — 402 response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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