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Supplier Qualification Keyed Dataset Comparison with Missing-Value Fill
x402
Supplier Qualification Keyed Dataset Comparison with 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 2026-10-23).
Compares two supplier qualification datasets by key, filling missing values, and returns analytical reports on checked_criteria and met_criteria fields for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Supplier qualification — Keyed dataset comparison + Explicit missing-value fill: Keyed dataset comparison + Explicit missing-value fill 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
Returns 2 independent analytical reports based on local computation: a keyed dataset comparison showing differences between the two supplied datasets by row_id, and an explicit missing-value fill report for the selected field (checked_criteria or met_criteria), covering up to 200 rows of supplier qualification records across company groups and dates.
Example use cases
Quarterly supplier re-qualification audit
“I have two sets of supplier qualification records from Q1 and Q2 — each up to 150 rows with row_id, company_group, date, checked_criteria, and met_criteria. Can you compare them on the met_criteria field, fill any missing values, and produce 2 reports showing what changed between quarters?”
Vendor onboarding criteria gap analysis
“We're onboarding new vendors and I have a baseline dataset and a candidate dataset, each with row_id, company_group, date, checked_criteria, and met_criteria. Compare them using the checked_criteria field, fill missing values explicitly, and give me 2 reports highlighting gaps.”
Multi-group supplier performance comparison
“Compare these two supplier datasets — group-a vs group-b — across 80 rows each with row_id, company_group, date, checked_criteria, and met_criteria. Use the met_criteria field for the keyed comparison, fill any nulls, and return 2 analytical summary reports.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-02-190?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to compare two structured supplier qualification datasets by key and fill missing values, getting 2 analytical reports at low cost ($0.01 USDC). It is ideal for procurement and vendor management workflows that need offline, deterministic computation on up to 200 rows without any live lookups, external API calls, or AI-generated assessments.
Side effects
- Rows array empty or missing — minItems:1 required
- Row count exceeds 200 — maxItems:200 enforced
- Invalid date format — must match YYYY-MM-DD pattern
- Missing required row fields (row_id, company_group, date, checked_criteria, met_criteria)
- row_id exceeds 80 characters
- Numeric values outside allowed range (-1e12 to 1e12)
- Invalid field enum value — must be 'checked_criteria' or 'met_criteria'
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| other | array | |
| method | string |
Tags
x402
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