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Supplier Qualification Grouped Numeric Summary + Base-100 Series
x402
Supplier Qualification Grouped Numeric Summary + 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 2026-10-15).
Generates a grouped numeric summary and a base-100 indexed time series for supplied supplier qualification data (checked_criteria, met_criteria) across company groups.
Price / call$0.01
Success—
StatusUnknown
How this service works
Supplier qualification — Grouped numeric summary + Base-100 series: Grouped numeric summary + 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 independent analytical reports: (1) a grouped numeric summary of the selected field (checked_criteria or met_criteria) broken down by company_group, including statistics like count, sum, mean, min, and max; and (2) a base-100 indexed time series anchored at the specified base_index row, showing relative changes over time for the chosen field. Up to 200 input rows are supported per call.
Example use cases
Quarterly supplier pass-rate summary
“I have 150 rows of supplier qualification data across 5 company groups with dates and checked_criteria and met_criteria values for Q3. Can you give me a grouped numeric summary and a base-100 series indexed from the first row using checked_criteria so I can see how each group is trending?”
Benchmarking met criteria against a baseline
“Take my supplier qualification records — each row has a company_group, date, checked_criteria, and met_criteria — and generate a base-100 series on met_criteria starting from base_index 2, plus a grouped numeric summary across all company groups.”
Comparing multiple supplier groups at a glance
“I need to compare how our supplier groups performed on qualification criteria this year. Here are my rows with row_id, company_group, date, checked_criteria, and met_criteria. Run the grouped numeric summary and base-100 index on checked_criteria with base_index 0 so I can spot which groups are improving.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-02-092?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have supplier qualification records with checked and met criteria counts across named company groups and need both a grouped statistical summary and a normalized base-100 time series in a single low-cost call. It is ideal for procurement analysts or supply chain workflows that want to compare supplier group performance over time without external data lookups or predictions — all computation is local and deterministic on the supplied data.
Side effects
- Missing required fields (row_id, company_group, date, checked_criteria, met_criteria) cause validation errors
- Date strings not matching YYYY-MM-DD pattern are rejected
- More than 200 rows submitted causes an input validation failure
- Invalid base_index (out of range 0–199 or exceeding row count) may cause index anchoring errors
- Null values in numeric fields may affect summary statistics
- Invalid field enum value (not checked_criteria or met_criteria) returns an error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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