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Business Location Inventories — Numeric Interval Filter + Missing-Value Fill
x402
Business Location Inventories — Numeric Interval Filter + 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).
Filters business location inventory rows by a numeric range on location_count or verified_locations, and fills missing values using zero, mean, or median imputation — returning up to 2 analytical reports for up to 200 supplied rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Business location inventories — Numeric interval filter + Explicit missing-value fill: Numeric interval filter + 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
Returns up to 2 analytical reports on the supplied rows: one applying the numeric interval filter (keeping only rows where the selected field falls within [minimum, maximum]), and one applying the chosen missing-value fill method (zero, mean, or median) to null entries in the selected field. Results are based entirely on supplied data with no external lookups.
Example use cases
Clean outlier-heavy location count dataset
“I've got a dataset of 150 business location records and some location_count values are way out of range — can you filter them to between 0 and 500 and replace any nulls with the mean? I'd like 2 reports on the result.”
Impute missing verified locations with zero
“My verified_locations field has a bunch of null entries in my 80-row location inventory file — can you fill those missing values with zero and also filter to only keep rows where verified_locations is between 1 and 1000?”
Prepare inventory data for downstream reporting
“Before I hand off my company location inventory to the reporting team, can you run an interval filter on location_count keeping values from 10 to 300, and use median imputation for any missing values? There are about 120 rows across a few company groups.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-05-135?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have pre-collected business location inventory data (up to 200 rows) and need to simultaneously apply a numeric range filter AND impute missing values on location_count or verified_locations, receiving 2 structured analytical reports. It is a local, offline computation — no live data fetching, prediction, or external calls. Prefer it over general-purpose data tools when you want a pay-per-use, low-cost ($0.01 USDC) combined filter+impute pipeline specifically tuned to location inventory schemas.
Side effects
- Rows array is empty or exceeds 200 items — validation error
- row_id missing or blank — schema validation failure
- Date field does not match YYYY-MM-DD pattern — rejected
- minimum greater than maximum — may produce empty filtered result set
- Field values outside ±1,000,000,000,000 — schema rejection
- Null rows_id or company_group fields may cause report grouping issues
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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