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Vendor Evaluation — Adjacent Row Changes + Keyed Dataset Comparison
x402
Vendor Evaluation — Adjacent Row Changes + Keyed Dataset Comparison 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).
Runs two local analytical reports on vendor evaluation data: adjacent row change detection and keyed dataset comparison, for up to 200 rows of supplied_score/maximum_score records.
Price / call$0.01
Success—
StatusUnknown
How this service works
Vendor evaluation — Adjacent row changes + Keyed dataset comparison: Adjacent row changes + Keyed dataset comparison 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 independent analytical reports: (1) an adjacent row changes report showing sequential deltas in the selected field across the ordered rows, and (2) a keyed dataset comparison report showing per-key differences between the primary rows dataset and the secondary 'other' dataset, based on supplied_score or maximum_score as selected.
Example use cases
Vendor score drift audit
“I have two rounds of vendor evaluations — last quarter and this quarter — each with about 80 rows including row_id, company_group, date, supplied_score, and maximum_score. Run the adjacent row changes and keyed dataset comparison on supplied_score so I can see which vendors had the biggest score shifts.”
Procurement dataset reconciliation
“We exported vendor records twice after a data migration and I need to know what changed. Both datasets have row_id, company_group, date, supplied_score, and maximum_score. Can you do an adjacent row change analysis and keyed comparison on maximum_score to find any discrepancies?”
Vendor scoring QA between review cycles
“My team just finished a new vendor scoring cycle and I want to compare it against the previous one. I've got both datasets — around 120 rows each — with supplied_score and maximum_score. Please run the adjacent row changes and keyed comparison reports on the supplied_score field.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-10-161?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 sequential row-change detection and a keyed comparison between two dataset versions in a single call, all computed locally without external lookups or predictions. Best suited for datasets up to 200 rows where you want two bundled analytical reports at minimal cost.
Side effects
- More than 200 rows submitted — request rejected
- Missing required fields (row_id, company_group, date, supplied_score, maximum_score) in any row — validation error
- Date field does not match YYYY-MM-DD pattern — schema validation failure
- row_id is empty or exceeds 80 characters — validation error
- field enum value not one of 'supplied_score' or 'maximum_score' — validation error
- Mismatched row_id keys between rows and other datasets causing empty comparison output
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| other | array |
Tags
x402
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