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Supplier Qualification — String Normalisation + Exact Row Deduplication
x402
Supplier Qualification — 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 deduplicates exact rows in supplier qualification records (checked_criteria, met_criteria) for up to 200 rows, returning 2 analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Supplier qualification — String normalisation + Exact row deduplication: String normalisation + Exact row deduplication for supplied supplier qualification records (checked_criteria, met_criteria). 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 independent analytical reports: one covering string normalisation results for the supplier qualification records, and one covering exact row deduplication findings — both generated locally without any live lookup or external data enrichment. Covers up to 200 input rows.
Example use cases
Pre-analysis supplier data cleaning
“I have a batch of supplier qualification records with company groups, dates, checked criteria counts, and met criteria counts. Some rows look like duplicates and the strings are inconsistently formatted — can you normalise the strings and deduplicate exact rows so I have clean data before I run my analysis? Here are up to 100 rows.”
Procurement audit deduplication
“We're auditing our supplier qualification data and suspect there are exact duplicate rows across different company groups. Can you run a deduplication pass and string normalisation on these 80 supplier qualification records and give me a report showing what was cleaned?”
Supplier onboarding data quality check
“Before we onboard these new suppliers, I need to clean up the qualification data — about 150 rows with checked_criteria and met_criteria values. Can you normalise the string fields and flag any exact duplicate rows across the dataset?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-02-020?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need fast, local string normalisation and exact row deduplication specifically for supplier qualification records with checked_criteria and met_criteria fields, without requiring live lookups, external enrichment, or professional assessment. Ideal for small-to-medium batches (up to 200 rows) where you want two concise analytical reports at very low cost ($0.01 USDC). Prefer alternatives if you need fuzzy matching, semantic deduplication, or deduplication across more than 200 rows.
Side effects
- More than 200 rows submitted — endpoint only accepts up to 200 rows per call
- Missing required fields (row_id, company_group, date, checked_criteria, met_criteria) in one or more rows
- Invalid date format (must be YYYY-MM-DD pattern)
- row_id field empty or exceeds 80 characters
- checked_criteria or met_criteria values outside allowed numeric range
- Malformed JSON body or incorrect field types causing validation failure
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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