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Inventory Administration String Normalisation and Numeric Distribution Reporter
x402
Inventory Administration String Normalisation and Numeric Distribution Reporter 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).
Runs string normalisation and numeric distribution analysis on up to 200 inventory administration rows (count_sessions, discrepancy_count), returning 2 independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Inventory administration — String normalisation + Numeric distribution: String normalisation + Numeric distribution 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 two independent analytical reports for the submitted inventory rows: (1) a string normalisation report covering text fields such as team_group, and (2) a numeric distribution report for the selected field (count_sessions or discrepancy_count), including statistical distribution metrics. No external lookups or predictions are made; all analysis uses local analytical engines on the supplied data.
Example use cases
Session count distribution across teams
“I have 50 rows of inventory data with team_group, date, and count_sessions values — can you run a numeric distribution and string normalisation report on the count_sessions field so I can see how sessions are spread across groups?”
Discrepancy count anomaly summary
“Run a string normalisation and numeric distribution analysis on my inventory records using the discrepancy_count field — I've got about 120 rows covering multiple team groups through Q4 and I need to understand where the numbers cluster.”
Weekly operations inventory audit
“I need two analytical reports on my weekly operations inventory data — 80 rows with row IDs, team groups, dates, and discrepancy_count values — give me string normalisation and numeric distribution so I can spot irregularities.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-operations-21-022?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need lightweight, offline statistical analysis of inventory administration data — specifically string normalisation on categorical fields and numeric distribution on session or discrepancy counts — for up to 200 rows at very low cost ($0.01 for both reports). Prefer this over general analytics platforms when you want a simple dual-report format without live lookups, predictions, or external integrations.
Side effects
- Rows array exceeds 200 items — request rejected
- Missing required fields (row_id, team_group, date, count_sessions, discrepancy_count) causes validation error
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- Numeric values outside allowed range (-1e12 to 1e12) cause validation failure
- Invalid field enum value (not count_sessions or discrepancy_count) causes error
- Empty rows array (minItems:1 violated) rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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