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Packaging Usage String Normalisation and Exact Row Deduplication
x402
Packaging Usage String Normalisation and 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 2026-11-04).
Normalises strings and removes exact duplicate rows from packaging usage records (packages_sent, material_grams) for up to 200 rows, producing 2 analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Packaging usage — String normalisation + Exact row deduplication: String normalisation + Exact row deduplication for supplied packaging usage records (packages_sent, material_grams). 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 2 reports: (1) a string-normalised version of the submitted packaging usage rows with standardised store_group and date strings, and (2) an exact row deduplication report identifying and removing fully duplicate records, covering up to 200 input rows.
Example use cases
Retail packaging sustainability audit prep
“I need to clean my monthly packaging dispatch data before submitting our sustainability report — can you normalise the store group names and strip out any exact duplicate rows? I have about 120 records with packages sent and material grams across our store groups for Q3 2026.”
Multi-store packaging data deduplication
“Our warehouse system exported packaging usage records with inconsistent capitalisation in store group names and some duplicate entries — can you normalise those strings and remove exact duplicate rows? There are around 80 rows covering October and November 2026.”
Pre-analysis packaging data cleaning
“Before I run my packaging efficiency analysis I want to make sure the raw data is clean — please normalise string fields and deduplicate exact matching rows in my packages sent and material grams dataset, which has about 150 rows from various store groups in 2026.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-retail-17-020?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need lightweight, local analytical cleaning of packaging usage data — specifically string normalisation and exact duplicate removal — without any external lookups, predictions, or live data enrichment. It is well-suited for retail or logistics teams preparing packaging dispatch records for reporting or downstream analysis and who want a low-cost ($0.01 USDC for 2 reports) batch clean of up to 200 rows.
Side effects
- Exceeds 200-row limit — request rejected, must split into smaller batches
- Missing required fields (row_id, date, packages_sent, material_grams) — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- row_id exceeds 80 characters — rejected
- Numeric values outside allowed range (±1,000,000,000,000) — schema error
- Empty rows array — minimum 1 item required
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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