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Business Location Inventories — IQR Outlier Flags + Explicit Missing-Value Fill
x402
Business Location Inventories — IQR Outlier Flags + 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).
Runs IQR-based outlier detection and explicit missing-value imputation on 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 — IQR outlier flags + Explicit missing-value fill: IQR outlier flags + 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
Two analytical reports: (1) IQR outlier flag report marking rows where location_count or verified_locations fall outside the interquartile range as outliers, and (2) an explicit missing-value fill report showing which null values were imputed and what replacement values (zero, mean, or median) were used — all computed locally without external lookups.
Example use cases
Retail chain location audit
“I have 120 rows of monthly location inventory records for two company groups, with some nulls in location_count. Can you flag any IQR outliers and fill in the missing location_count values using the median, and give me both reports?”
Franchise verified-locations QA
“Run outlier flagging and zero-fill imputation on my verified_locations data — I've got about 80 rows across several company groups and dates, and I want to know which rows look statistically unusual and which were missing values.”
Multi-brand inventory data cleanup
“We're cleaning up our business location dataset before a quarterly review — can you apply IQR outlier flags and mean imputation to the verified_locations field across our 150-row inventory records and return both analytical reports?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-05-180?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both IQR-based outlier detection AND missing-value imputation in a single call for business location inventory data specifically (location_count, verified_locations). It is ideal for pre-processing datasets of up to 200 rows before reporting or modeling, when you need two coordinated data quality reports cheaply ($0.01 USDC). Prefer it over general-purpose analytics when the data fits the exact schema and you want fast, offline computation with no external data dependencies.
Side effects
- Fewer than 1 row supplied — minItems validation error
- More than 200 rows supplied — maxItems validation error
- Invalid date format (not YYYY-MM-DD) — pattern validation error
- Field value outside allowed numeric range — schema validation error
- Invalid method enum value (not zero/mean/median) — enum validation error
- Invalid field enum value (not location_count/verified_locations) — enum validation error
- Missing required fields (row_id, company_group, date) — required field error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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