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Supplier Qualification — Numeric Interval Filter + Base-100 Series
x402
Supplier Qualification — Numeric Interval Filter + Base-100 Series 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).
Filters supplier qualification rows by a numeric interval on checked_criteria or met_criteria, then produces a Base-100 index series for the filtered data — two analytical reports per call.
Price / call$0.01
Success—
StatusUnknown
How this service works
Supplier qualification — Numeric interval filter + Base-100 series: Numeric interval filter + Base-100 series 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 two reports derived from the supplied rows: (1) the subset of rows whose selected field value falls within the specified [minimum, maximum] interval, and (2) a Base-100 index series for that field computed relative to the designated base_index row — all computed locally with no external lookups.
Example use cases
Procurement compliance band analysis
“Here are our 120 supplier qualification records — filter to only those where met_criteria falls between 10 and 80, then give me a Base-100 series anchored to row 0 so I can see how each supplier's compliance score compares to that baseline.”
Identifying high-performing supplier groups
“I've got supplier qualification data for group-a and group-b across 90 rows. Can you filter to rows where checked_criteria is between 20 and 100, then run a Base-100 index on checked_criteria starting from row 0, so I can spot which groups consistently outperform the baseline?”
Quarterly supplier audit normalization
“We ran a supplier audit and have 200 rows of qualification data. Please filter the dataset to rows where met_criteria is between 5 and 60, then produce a base-100 rebase series using met_criteria anchored at base_index 0, so I can compare performance across dates and company groups.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-02-128?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of supplier qualification data and need both an interval-filtered view and a Base-100 normalized series in a single low-cost call. It is ideal for procurement analytics, compliance auditing, and supplier benchmarking workflows where you supply your own data and want two complementary analytical perspectives without requiring external data sources or live lookups.
Side effects
- Fewer than 1 row supplied — request rejected (minItems:1)
- More than 200 rows supplied — request rejected (maxItems:200)
- Invalid date format (not YYYY-MM-DD) on any row — validation error
- base_index references a row index that doesn't exist after filtering — may produce empty or error result
- minimum greater than maximum — interval is empty, returns zero filtered rows
- Null values in the selected field — rows with null may be excluded or cause computation issues
- Non-numeric values in checked_criteria or met_criteria fields — schema validation failure
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number | |
| base_index | integer |
Tags
x402
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