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Business Location Inventories — Two-Measure Correlation + Explicit Missing-Value Fill
x402
Business Location Inventories — Two-Measure Correlation + 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).
Computes correlation between location_count and verified_locations, and fills missing values using zero/mean/median for up to 200 business location inventory rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Business location inventories — Two-measure correlation + Explicit missing-value fill: Two-measure correlation + 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) a Pearson correlation coefficient between location_count and verified_locations across the submitted rows, and (2) a dataset with missing values in the specified field replaced using the chosen imputation method (zero, mean, or median). Results are derived purely from supplied data with no external lookups.
Example use cases
Detecting location verification coverage
“I have a dataset of business locations across group-a and group-b from October 2026 — can you run a correlation between location_count and verified_locations so I can see how well verification coverage tracks total locations? Fill any missing location_count values with the median.”
Cleaning missing verified location data
“Some of my verified_locations entries are null — can you fill those missing values using the mean across my 50 rows of business inventory records, and also tell me how correlated verified_locations is with location_count?”
Multi-group location audit
“I've got inventory data for two company groups across 30 dates and I need two things: fill any missing verified_locations fields with zero, and compute the correlation between location_count and verified_locations so I can report on data quality.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-05-184?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you already have business location inventory data in hand and need both a correlation analysis between location_count and verified_locations and missing-value imputation in one low-cost call. It is ideal for data-cleaning pipelines, quality audits, or quick statistical checks on location datasets up to 200 rows. It does not perform live lookups, predictions, or external enrichment — use it purely for local analytical computation on supplied records.
Side effects
- Fewer than 1 row supplied — request rejected
- More than 200 rows submitted — exceeds maximum limit
- Invalid date format (not YYYY-MM-DD) — schema validation error
- row_id missing or empty — required field error
- Imputation method not one of zero/mean/median — enum validation error
- All values in the target field are null — mean/median imputation undefined
- Numeric values outside allowed range (±1 trillion) — schema rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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