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

> Supplier Delivery Evidence — 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 2026-10-25).

Analyzes supplier delivery records by computing adjacent row changes and filling missing values explicitly, returning two analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-15-162?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-25
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/supplier-delivery-evidence-adjacent-row-changes-explicit-missing-fd267b75
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_IwxXSPI34Z0eINpL0eu36

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-delivery-evidence-adjacent-row-changes-explicit-missing-fd267b75 -d '<json body>'
```

Example prompt: I have up to 200 rows of supplier delivery evidence with deliveries and on_time_deliveries columns — can you run two local reports: one showing adjacent row-over-row changes and one filling any missing values using median, for the deliveries field?

## When to prefer this

Choose this endpoint when you need two specific analytical transformations on supplier delivery data — adjacent row delta computation and explicit missing-value imputation — applied together in a single cost-effective call ($0.01 USDC). Best suited for datasets up to 200 rows where local, offline analysis is acceptable and no live predictions or external data enrichment are needed.

## Known failure modes

- Missing required fields (row_id, date, company_group, deliveries, on_time_deliveries) cause validation errors
- More than 200 rows submitted returns an error or truncation
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- Unsupported fill method or field enum value causes a bad-request error
- Payment not included or insufficient USDC causes a 402 response

## How this service works

Supplier delivery evidence — Adjacent row changes + Explicit missing-value fill: Adjacent row changes + Explicit missing-value fill for supplied supplier delivery evidence records (deliveries, on_time_deliveries). 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) adjacent row change values showing differences between consecutive delivery records, and (2) a missing-value fill result using the specified method (zero, mean, or median) applied to the chosen field (deliveries or on_time_deliveries). 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",
     "deliveries",
     "on_time_deliveries"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "deliveries": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "company_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "on_time_deliveries": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "deliveries": 10,
     "company_group": "group-a",
     "on_time_deliveries": 1
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "deliveries": 20,
     "company_group": "group-b",
     "on_time_deliveries": 2
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "deliveries": 15,
     "company_group": "group-a",
     "on_time_deliveries": 3
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "deliveries": 30,
     "company_group": "group-b",
     "on_time_deliveries": 4
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "deliveries",
    "on_time_deliveries"
   ],
   "type": "string",
   "default": "deliveries"
  },
  "method": {
   "enum": [
    "zero",
    "mean",
    "median"
   ],
   "type": "string",
   "default": "median"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/supplier-delivery-evidence-adjacent-row-changes-explicit-missing-fd267b75/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)