# Supplier Qualification Analytics — Adjacent Row Changes & Base-100 Series

> Supplier Qualification Analytics — Adjacent Row Changes & 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).

Computes adjacent row changes and a Base-100 index series for supplier qualification data (checked_criteria, met_criteria) across up to 200 rows, returning two analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-02-155?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-23
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/supplier-qualification-analytics-adjacent-row-changes-base-100-series-3e12ba1e
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_DiNSnuzjByn-1uHOeC8_T

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-analytics-adjacent-row-changes-base-100-series-3e12ba1e -d '<json body>'
```

Example prompt: Can you run the adjacent row changes and Base-100 series analysis on my supplier qualification data? I have 4 rows — row-1 (2026-10-01, group-a, checked_criteria=10, met_criteria=1), row-2 (2026-10-02, group-b, checked=20, met=2), row-3 (2026-10-03, group-a, checked=15, met=3), row-4 (2026-10-04, group-b, checked=30, met=4) — analyze the checked_criteria field starting from base index 0.

## When to prefer this

Choose this endpoint when you need two specific analytical outputs — adjacent row changes and a Base-100 index series — computed together on supplier qualification records (checked_criteria or met_criteria) for up to 200 rows at low cost ($0.01 USDC). Prefer it over general analytics APIs when your data is already structured as supplier qualification records with company groups and dates, and you need offline, deterministic computation without live lookups or external integrations.

## Known failure modes

- Missing required fields (row_id, date, company_group, checked_criteria, met_criteria) causes validation error
- More than 200 rows submitted exceeds maxItems limit
- Invalid date format (not YYYY-MM-DD) rejected by pattern validation
- base_index pointing to a row index that doesn't exist in the submitted array
- Null values in the selected field may affect computation of adjacent changes or indexing
- Payment failure via x402 protocol prevents endpoint execution

## How this service works

Supplier qualification — Adjacent row changes + Base-100 series: Adjacent row changes + 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 for the supplied rows: (1) an adjacent row changes report showing period-over-period deltas for the selected field, and (2) a Base-100 series normalizing the selected field's values relative to the specified base index row — all computed locally without 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"
  },
  "base_index": {
   "type": "integer",
   "default": 0,
   "maximum": 199,
   "minimum": 0
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/supplier-qualification-analytics-adjacent-row-changes-base-100-series-3e12ba1e/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)