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Vendor Evaluation — Base-100 Series + Keyed Dataset Comparison
x402
Vendor Evaluation — Base-100 Series + 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).
Generates two analytical reports for vendor evaluation data: a Base-100 index series and a keyed dataset comparison, using supplied_score and maximum_score fields across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Vendor evaluation — Base-100 series + Keyed dataset comparison: Base-100 series + 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 analytical reports derived from the supplied vendor evaluation rows: (1) a Base-100 index series normalizing the chosen field (supplied_score or maximum_score) relative to a base period, enabling trend comparison across company groups and dates; and (2) a keyed dataset comparison aligning rows by key between the primary and secondary datasets to surface differences. All computation is performed locally with no external lookups.
Example use cases
Quarterly vendor performance benchmarking
“I've got vendor evaluation data for three supplier groups from January through March 2026, each row has a date, row_id, company_group, supplied_score, and maximum_score — about 180 rows total. Can you generate a Base-100 index series and a keyed comparison against last quarter's dataset using the supplied_score field so I can see how performance has shifted?”
Two-supplier dataset scoring comparison
“We're deciding between two vendor pools and I have scored evaluation records for both — same row_id keys, company_group labels, dates, supplied_scores and maximum_scores, around 90 rows each. Please run a Base-100 series on the first dataset and a keyed dataset comparison against the second using supplied_score.”
Maximum score capacity analysis across groups
“I want to understand how vendor groups stack up against their maximum possible scores — I have about 120 evaluation rows with row_id, company_group, date, supplied_score, and maximum_score fields. Can you produce a Base-100 series and keyed comparison report using the maximum_score field across both my primary and reference datasets?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-10-168?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need two simultaneous analytical views — a Base-100 normalized time series and a keyed cross-dataset comparison — on vendor evaluation data (supplied_score, maximum_score) in a single paid call. It is ideal for procurement or supplier performance workflows where you want to index scores to a baseline and directly compare two datasets by shared row keys, all without any external data lookups or live predictions.
Side effects
- Rows array is empty or exceeds 200 items — validation error returned
- Missing required fields (row_id, company_group, date, supplied_score, maximum_score) on any row — schema validation failure
- Date field does not match YYYY-MM-DD pattern — rejected with pattern mismatch error
- Null values in supplied_score or maximum_score may produce incomplete analytics for affected rows
- Mismatched row_ids between primary and secondary datasets may result in unmatched keys in the comparison report
- Payment of 0.01 USDC not completed — request rejected before processing
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| other | array | |
| base_index | integer |
Tags
x402
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