# Supplier Qualification — Grouped Numeric Summary + Adjacent Row Changes

> Supplier Qualification — Grouped Numeric Summary + Adjacent Row Changes 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).

Analyzes supplier qualification data (checked_criteria, met_criteria) by producing a grouped numeric summary and adjacent row change report for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-02-091?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-15
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/supplier-qualification-grouped-numeric-summary-adjacent-row-changes-c9a7cd58
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_V6m-C9jqv7_V2PQ9iF5UU

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability supplier-qualification-grouped-numeric-summary-adjacent-row-changes-c9a7cd58 -d '<json body>'
```

Example prompt: Can you analyze this supplier qualification dataset for me — group the records by company_group and give me both a numeric summary and the adjacent row changes for the checked_criteria field? I have 4 rows: row-1 (group-a, 2026-10-01, checked=10, met=1), row-2 (group-b, 2026-10-02, checked=20, met=2), row-3 (group-a, 2026-10-03, checked=15, met=3), row-4 (group-b, 2026-10-04, checked=30, met=4).

## When to prefer this

Choose this endpoint when you need simultaneous grouped statistical aggregation AND sequential row-difference analysis on supplier qualification records in a single low-cost call. It is ideal for procurement and vendor management workflows where you want to compare group-level performance and track row-to-row changes in criteria checks without building your own analytics pipeline. Prefer it over generic analytics tools when your data fits the supplier qualification schema (checked_criteria, met_criteria, company_group, date) and you need results quickly for up to 200 rows at minimal cost.

## Known failure modes

- Fewer than 1 row supplied — minimum row count validation error
- More than 200 rows supplied — exceeds maxItems limit
- Missing required fields (row_id, company_group, date, checked_criteria, met_criteria) — schema validation error
- Invalid date format (must match YYYY-MM-DD pattern) — pattern validation error
- Invalid field enum value (must be checked_criteria or met_criteria) — enum validation error
- Numeric values outside allowed range (-1e12 to 1e12) — range validation error
- Payment of 0.01 USDC not fulfilled — 402 Payment Required response

## How this service works

Supplier qualification — Grouped numeric summary + Adjacent row changes: Grouped numeric summary + Adjacent row changes 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 aggregates such as count, sum, mean, min, and max; and (2) an adjacent row changes report showing the difference between consecutive rows for the selected field. Both reports are computed locally on the supplied data with no external lookups.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "company_group",
     "date",
     "checked_criteria",
     "met_criteria"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "met_criteria": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "company_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "checked_criteria": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "met_criteria": 1,
     "company_group": "group-a",
     "checked_criteria": 10
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "met_criteria": 2,
     "company_group": "group-b",
     "checked_criteria": 20
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "met_criteria": 3,
     "company_group": "group-a",
     "checked_criteria": 15
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "met_criteria": 4,
     "company_group": "group-b",
     "checked_criteria": 30
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "checked_criteria",
    "met_criteria"
   ],
   "type": "string",
   "default": "checked_criteria"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/supplier-qualification-grouped-numeric-summary-adjacent-row-changes-c9a7cd58/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from market.datapackvibe.com](https://www.zero.xyz/host/market.datapackvibe.com/llms.txt)