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Vendor Evaluation — Exact Row Deduplication + Explicit Missing-Value Fill
x402
Vendor Evaluation — Exact Row Deduplication + Explicit Missing-Value Fill is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-28).
Deduplicates exact duplicate rows and fills missing values in vendor evaluation records containing supplied_score and maximum_score fields, producing two analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Vendor evaluation — Exact row deduplication + Explicit missing-value fill: Exact row deduplication + Explicit missing-value fill 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: one covering exact row deduplication results (identifying and removing fully duplicate rows) and one covering explicit missing-value fill results (replacing null supplied_score or maximum_score values using the chosen method: zero, mean, or median). Both reports are generated from the supplied data using local analytical engines with no external lookups.
Example use cases
Clean procurement scoring dataset
“I have vendor evaluation records with row_id, company_group, date, supplied_score, and maximum_score — some rows are duplicated and some supplied_score values are null. Can you remove exact duplicates and fill missing supplied_score values using the median?”
Zero-fill missing maximum scores
“My vendor benchmark dataset has some maximum_score fields that are blank. Please deduplicate any exact duplicate rows and fill those missing maximum_score values with zero.”
Pre-reporting vendor data cleanup
“Before I run my quarterly vendor report, I need to clean up this dataset of up to 150 vendor evaluation entries — strip out exact duplicate rows and use mean imputation to fill any missing supplied_score values.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-10-054?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have vendor evaluation data with supplied_score and maximum_score fields and need both deduplication and missing-value imputation in a single call. It is purpose-built for vendor scoring datasets (up to 200 rows) and returns two distinct reports at a low flat cost. Prefer this over generic data cleaning tools when your data matches the vendor evaluation schema and you want deterministic, local processing with no external data dependencies.
Side effects
- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, company_group, date, supplied_score, maximum_score) — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Score values outside allowed numeric range — rejection
- Invalid fill method or field enum value — schema error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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