# Supplier Fill — String Normalisation + Adjacent Row Changes

> Supplier Fill — String Normalisation + 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 2026-10-23).

Performs string normalisation and adjacent row change analysis on up to 200 supplier fill records (ordered_units or received_units), returning 2 analytical reports per call.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-retail-06-029?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-fill-string-normalisation-adjacent-row-changes-75da61c4
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_EDJdKr75crh2c33HR0Juf

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-fill-string-normalisation-adjacent-row-changes-75da61c4 -d '<json body>'
```

Example prompt: Can you run string normalisation and adjacent row changes analysis on my supplier fill data for ordered_units? I have 4 rows: row-1 for group-a on 2026-10-01 with 10 ordered and 1 received, row-2 for group-b on 2026-10-02 with 20 ordered and 2 received, row-3 for group-a on 2026-10-03 with 15 ordered and 3 received, and row-4 for group-b on 2026-10-04 with 30 ordered and 4 received.

## When to prefer this

Choose this endpoint when you need lightweight, local analytical processing of supplier fill records specifically combining string normalisation with adjacent row change detection in a single call. It is well-suited for retail inventory pipelines where you want two complementary views of data quality and sequential patterns without external lookups or model inference, at low cost ($0.01 per call covering both reports for up to 200 rows).

## Known failure modes

- More than 200 rows submitted — request rejected, reduce batch size
- Missing required fields (row_id, date, store_group, ordered_units, received_units) — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Invalid field enum value (not ordered_units or received_units) — rejected
- Empty rows array — minItems constraint violation
- Numeric values outside allowed range (±1,000,000,000,000) — schema error

## How this service works

Supplier fill — String normalisation + Adjacent row changes: String normalisation + Adjacent row changes for supplied supplier fill records (ordered_units, received_units). 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

Two analytical reports per call: (1) a string normalisation report identifying formatting inconsistencies in the selected field across supplied rows, and (2) an adjacent row changes report highlighting sequential differences between consecutive rows — both derived locally from the submitted data with no external lookups.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/supplier-fill-string-normalisation-adjacent-row-changes-75da61c4/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)