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Office Supplies — String Normalisation + Secondary-Measure Weighted Mean
x402
Office Supplies — String Normalisation + 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 2026-11-02).
Normalises string fields and computes a secondary-measure weighted mean for office supplies records containing issued_units and received_units, across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Office supplies — String normalisation + Secondary-measure weighted mean: String normalisation + Secondary-measure weighted mean for supplied office supplies records (issued_units, received_units). 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 for the submitted office supplies rows: (1) a string normalisation report cleaning text fields such as team_group, and (2) a secondary-measure weighted mean computed for the specified numeric field (issued_units or received_units), using the other measure as the weight. Both reports are computed locally with no external lookups.
Example use cases
Department supply usage comparison
“I have 150 office supply records across our teams from last quarter — each row has a team group, date, and both issued and received unit counts. Can you normalise the string fields and give me the secondary-measure weighted mean for issued_units so I can compare usage across departments?”
Monthly stock reconciliation analytics
“Here are our October office supply logs for group-a and group-b — I need two reports: string normalisation across the records and a weighted mean calculated using received_units as the secondary measure. Can you process all 80 rows?”
Supplies data quality and statistics cleanup
“Our office supplies dataset has inconsistent string formatting in the team_group column. Can you normalise those strings and also compute the secondary-measure weighted mean for received_units across all the rows so we get clean, reliable stats?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-operations-24-034?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have office supplies records (up to 200 rows) with issued_units and received_units and need both string normalisation of categorical fields and a secondary-measure weighted mean computed in a single call. It is ideal for lightweight batch analytics on structured inventory or operations data without needing a live data connection or external prediction service. At $0.01 USDC per call covering two reports, it is cost-effective for routine data quality and statistical summarisation tasks.
Side effects
- Submitting more than 200 rows returns a validation error
- Missing required fields (row_id, date, issued_units, received_units) causes row-level rejection
- Invalid date format (not YYYY-MM-DD) triggers a pattern validation failure
- Null values in both numeric fields may produce undefined weighted mean results
- Payment of 0.01 USDC not included or declined results in a 402 Payment Required response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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