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Inventory Administration — String Normalisation + Base-100 Series
x402
Inventory Administration — String Normalisation + Base-100 Series 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).
Applies string normalisation and base-100 indexing to inventory count session and discrepancy records, producing two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Inventory administration — String normalisation + Base-100 series: String normalisation + Base-100 series 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
Two analytical reports per call: a string-normalised view of the supplied inventory administration records and a base-100 indexed series for the selected numeric field (count_sessions or discrepancy_count), covering up to 200 input rows. No external data is fetched; all analysis runs on the supplied data using local analytical engines.
Example use cases
Warehouse team count session benchmarking
“I have daily inventory count session totals for three warehouse teams over the past month — can you normalise the team names and produce a base-100 index series on count_sessions starting from the first row so I can compare performance over time?”
Discrepancy trend indexing for audit review
“Before our quarterly audit, I need to index our discrepancy_count figures on a base-100 scale across all team groups and dates — can you run the string normalisation and base-100 series report on my 150 inventory rows using discrepancy_count as the field and base index at position 0?”
Multi-team inventory operations summary
“We have inventory records from four teams over the last week — can you normalise the team group strings and give me both a count_sessions and discrepancy_count base-100 series report for these 30 rows so we can spot which teams are trending up or down?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-operations-21-030?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have pre-collected inventory administration records with count_sessions and discrepancy_count fields and need both string normalisation and base-100 index series computed locally without any live data lookups, predictions, or external calls. Best suited for up to 200 rows of team-grouped, date-stamped inventory data where you want two bundled analytical reports at minimal cost ($0.01 USDC).
Side effects
- More than 200 rows submitted — request rejected, maxItems limit exceeded
- Missing required fields (row_id, team_group, date, count_sessions, discrepancy_count) — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- base_index out of range (0–199) — validation error
- Null values in numeric fields may affect base-100 calculation output
- Empty rows array — minItems constraint violation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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