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Vendor Evaluation — Exact Row Deduplication + Base-100 Series
x402
Vendor Evaluation — Exact Row Deduplication + 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 2026-10-23).
Deduplicates vendor evaluation rows and computes a Base-100 index series for supplied_score or maximum_score fields across up to 200 records.
Price / call$0.01
Success—
StatusUnknown
How this service works
Vendor evaluation — Exact row deduplication + Base-100 series: Exact row deduplication + Base-100 series for supplied vendor evaluation records (supplied_score, maximum_score). 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 analytical reports sharing local computation engines: (1) an exact row deduplication result identifying and removing fully duplicate vendor evaluation records, and (2) a Base-100 indexed series of the chosen numeric field (supplied_score or maximum_score) anchored to the specified base row index, enabling normalized comparison across company groups and dates.
Example use cases
Quarterly vendor scorecard normalization
“I have our Q4 vendor evaluation data with supplied_score and maximum_score for about 150 rows across 5 company groups. Can you deduplicate any repeated rows and then build a Base-100 index series on supplied_score starting from row 0 so I can compare vendor performance on a common scale?”
Procurement data deduplication audit
“Our procurement team uploaded vendor evaluation records and suspects there are duplicate entries. Can you run exact row deduplication on these 80 vendor evaluation rows (company_group, date, supplied_score, maximum_score) and also give me the Base-100 series on maximum_score anchored at index 0?”
Vendor comparison across business groups
“I need to compare two business groups' vendor scores on a normalized basis. Here are 60 vendor evaluation rows with supplied_score values — please deduplicate the exact rows and produce a Base-100 index series anchored to base_index 5 so I can see relative performance over time.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-10-047?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular vendor evaluation data with supplied_score and maximum_score fields and need both exact duplicate row removal and a Base-100 indexed normalization series in a single call. It is ideal for offline/batch analytical cleanup and normalization of vendor scoring datasets up to 200 rows, requiring no external lookups or live data sources. Prefer this over general-purpose data tools when you want a combined deduplication + index report at a fixed low cost.
Side effects
- Input array is empty or missing required fields (row_id, date, supplied_score, maximum_score) — validation error
- More than 200 rows submitted — request rejected with max items exceeded error
- base_index references a row position that does not exist after deduplication — index out of bounds error
- All rows are duplicates and deduplication yields an empty dataset — empty result or error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Numeric fields outside allowed range — validation rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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