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Vendor Evaluation — Exact Row Deduplication + Two-Measure Correlation
x402
Vendor Evaluation — Exact Row Deduplication + Two-Measure Correlation 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 correlation between supplied_score and maximum_score across up to 200 records, returning two analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Vendor evaluation — Exact row deduplication + Two-measure correlation: Exact row deduplication + Two-measure correlation 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 reports: (1) an exact row deduplication report showing which rows were duplicates and the cleaned dataset, and (2) a correlation report between supplied_score and maximum_score across all deduplicated records. No external lookups or predictions are included — all analysis runs on the submitted data locally.
Example use cases
Procurement team vendor score analysis
“We just exported our vendor evaluation sheet with supplied scores and maximum scores for about 120 vendors across three company groups — can you remove any exact duplicate rows and tell me how correlated the supplied scores are with the maximum scores?”
Audit data cleaning before reporting
“Before I submit the quarterly vendor report, can you deduplicate these 80 vendor evaluation records by row and then run the two-measure correlation between supplied_score and maximum_score so I can flag any anomalies?”
Comparing vendor groups on scoring alignment
“I have evaluation records for two vendor groups dated between 2025-01-01 and 2025-06-30 — please strip out exact duplicate rows and compute the correlation between supplied_score and maximum_score so I can see how well scores align.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-10-050?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to both clean vendor evaluation data by removing exact duplicate rows AND compute a two-measure correlation between supplied_score and maximum_score in a single low-cost call. It is ideal for procurement, audit, or vendor management workflows where data quality and metric alignment need to be verified together on datasets up to 200 rows. Prefer this over general-purpose statistics tools when you specifically work with the vendor evaluation schema (row_id, company_group, date, supplied_score, maximum_score).
Side effects
- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, date, supplied_score, maximum_score) causes rejection
- Malformed date strings not matching YYYY-MM-DD pattern are rejected
- All-null score columns may produce undefined correlation result
- Fewer than 2 unique rows after deduplication may prevent meaningful correlation computation
- Payment failure (x402) blocks the request before processing
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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