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Vendor Evaluation Daily Sum Series and Keyed Dataset Comparison
x402
Vendor Evaluation Daily Sum Series and 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).
Computes a daily sum time series and a keyed dataset comparison for up to 200 vendor evaluation records containing supplied_score and maximum_score fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Vendor evaluation — Daily sum series + Keyed dataset comparison: Daily sum 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: (1) a daily sum series aggregating the selected field (supplied_score or maximum_score) across all rows by date, and (2) a keyed dataset comparison between the primary rows input and the secondary other input, highlighting differences by row_id. Both reports are computed locally with no external lookups.
Example use cases
Vendor score trend over quarter
“Here are our vendor evaluation rows for Q3, each tagged with a date, company group, supplied_score, and maximum_score — can you give me a daily sum series for the supplied_score field so I can see how totals trended day by day?”
Comparing two vendor evaluation snapshots
“I have this month's vendor evaluations and last month's as two separate datasets — both have row_id, company_group, date, supplied_score, and maximum_score — can you run a keyed dataset comparison so I can spot which rows changed?”
Group-level score aggregation and diff
“We have two batches of vendor records from group-a and group-b with supplied scores and maximum scores — can you compute the daily sum series on maximum_score and also compare the two batches to flag any discrepancies?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-10-144?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have structured vendor evaluation data (with supplied_score and maximum_score per row) and need both a time-aggregated daily sum view and a keyed row-by-row comparison between two datasets in a single low-cost call. It is ideal for procurement analysts or automated pipelines that periodically diff two evaluation snapshots and summarize score trends without requiring any external data enrichment or live lookups.
Side effects
- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, date, supplied_score, maximum_score) cause row-level rejection
- Invalid date format (not YYYY-MM-DD) fails schema validation
- Supplying an invalid field enum value (not supplied_score or maximum_score) causes a request error
- Empty rows array is rejected (minItems: 1)
- Numeric values outside ±1,000,000,000,000 are rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| other | array |
Tags
x402
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