# Supplier Qualification — Adjacent Row Changes + Explicit Missing-Value Fill

> Supplier Qualification — Adjacent Row Changes + Explicit Missing-Value Fill 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).

Analyzes supplier qualification records to detect adjacent row changes and fill missing values in checked_criteria or met_criteria fields across up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-02-162?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-adjacent-row-changes-explicit-missing-value-fill-745b09d8
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_J4TvMZuv9XjJhjH8MeFiq

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-adjacent-row-changes-explicit-missing-value-fill-745b09d8 -d '<json body>'
```

Example prompt: I have 150 rows of supplier qualification records with company_group, date, checked_criteria, and met_criteria — some met_criteria values are null. Can you run the adjacent row change detection and fill those missing met_criteria values using median, then give me both reports?

## When to prefer this

Choose this endpoint when you have tabular supplier qualification records and need two specific analytical operations simultaneously — adjacent row-to-row change detection and missing numeric value imputation — without any external data enrichment, live lookups, or predictive modeling. It is ideal for procurement data cleaning pipelines where both gap-filling and change detection are needed in a single low-cost call on up to 200 rows.

## Known failure modes

- Input array exceeds 200 rows — request rejected
- Invalid date format (not YYYY-MM-DD) causes validation error
- Both checked_criteria and met_criteria are null across all rows — fill report may be trivial
- Invalid method enum value (not zero/mean/median) causes schema error
- row_id missing or empty string causes required-field validation failure
- Payment of 0.01 USDC not completed — x402 payment required before response

## How this service works

Supplier qualification — Adjacent row changes + Explicit missing-value fill: Adjacent row changes + Explicit missing-value fill 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 analytical reports: (1) an adjacent row change report showing delta values between consecutive rows for the selected field (checked_criteria or met_criteria), grouped by company_group; and (2) a missing-value fill report showing which null values were replaced and with what imputed value (zero, mean, or median). Both reports are computed locally from 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"
  },
  "method": {
   "enum": [
    "zero",
    "mean",
    "median"
   ],
   "type": "string",
   "default": "median"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/supplier-qualification-adjacent-row-changes-explicit-missing-value-fill-745b09d8/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)