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Inventory Administration — Numeric Interval Filter + Secondary-Measure Weighted Mean
x402
Inventory Administration — Numeric Interval Filter + Secondary-Measure Weighted Mean is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-25).
Filters inventory administration session records by a numeric interval on a chosen field and computes a secondary-measure weighted mean, returning up to two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Inventory administration — Numeric interval filter + Secondary-measure weighted mean: Numeric interval filter + Secondary-measure weighted mean for supplied inventory administration records (count_sessions, discrepancy_count). 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 two analytical reports: one containing the subset of inventory administration rows whose chosen field (count_sessions or discrepancy_count) falls within the specified [minimum, maximum] interval, and one reporting the secondary-measure weighted mean computed over those filtered rows. Results are based entirely on the supplied data with no external lookups.
Example use cases
Session range analysis for team groups
“I have daily inventory session data for team-a and team-b across October. Can you filter all rows where count_sessions is between 5 and 20 and tell me the weighted mean of discrepancy_count for those filtered rows?”
Discrepancy outlier investigation
“For my inventory admin records this quarter, filter out any rows where discrepancy_count is outside the range 0 to 10, then compute the weighted mean of discrepancy_count across what remains — I want to understand the typical discrepancy level excluding outliers.”
Low-traffic session discrepancy summary
“I have 150 rows of inventory administration data with session counts and discrepancy counts by date and team group. Please filter to rows where count_sessions is between 1 and 15 and return the weighted mean of discrepancy_count so I can see how lower-volume sessions perform.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-operations-21-132?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 inventory administration records in hand and need both a numeric range filter (to isolate rows where a key metric falls within bounds) and a weighted mean of a secondary measure computed over those filtered rows — all in a single $0.01 call. It is ideal for offline/batch analytical tasks on pre-collected data where no live data lookup, prediction, or external action is needed.
Side effects
- Rows array empty or missing — validation error returned
- minimum greater than maximum — may return empty filtered set or error
- Non-date-format string in date field — schema validation failure
- More than 200 rows submitted — request rejected
- Null values in measure fields may affect weighted mean calculation
- Field enum value not one of count_sessions or discrepancy_count — schema validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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