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Inventory Administration — String Normalisation + Exact Row Deduplication
x402
Inventory Administration — String Normalisation + Exact Row Deduplication 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 strings and removes exact duplicate rows from inventory administration records containing count sessions and discrepancy counts, producing 2 analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Inventory administration — String normalisation + Exact row deduplication: String normalisation + Exact row deduplication 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 local analytical reports: one covering string normalisation results (standardised team_group and other string fields) and one covering exact row deduplication results (identifying and removing identical rows), applied to the submitted inventory administration dataset of up to 200 rows.
Example use cases
Warehouse count session deduplication
“I've got about 80 rows of warehouse inventory count session data with team_group names, dates, count_sessions and discrepancy_count numbers — some rows are exact duplicates and the team group strings are inconsistent. Can you normalise the strings and deduplicate them, and give me both reports?”
Monthly discrepancy data cleanup
“My inventory discrepancy records for October have messy string fields in the team_group column and I suspect there are duplicate rows. Here are 120 rows with row_id, date, count_sessions and discrepancy_count — please normalise the strings and strip out exact duplicates, and return the 2 analysis reports.”
Multi-team inventory audit prep
“Before I present our quarterly inventory audit, I need to clean up this dataset — about 60 rows across group-a and group-b teams with count_sessions and discrepancy_count fields. Can you normalise any inconsistent team group strings and remove exact duplicate rows, giving me the two standard reports?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-operations-21-020?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need lightweight, offline data-cleaning operations — specifically string normalisation and exact row deduplication — on inventory administration data (count_sessions, discrepancy_count) without requiring live database access, external lookups, or predictions. Ideal for pre-processing small-to-medium inventory datasets (up to 200 rows) at very low cost ($0.01 for 2 reports). Not suitable if you need fuzzy deduplication, statistical outlier detection, or real-time inventory system integration.
Side effects
- Exceeding 200 rows returns a validation error
- Rows missing required fields (row_id, team_group, date, count_sessions, discrepancy_count) are rejected
- Date values not matching YYYY-MM-DD pattern cause schema validation failure
- Numeric values outside ±1,000,000,000,000 are rejected
- Empty input array returns an error
- Payment failure prevents processing
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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