# Supplier Fill — String Normalisation + Explicit Missing-Value Fill

> Supplier Fill — String Normalisation + 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 2026-10-26).

Normalises string fields and fills missing ordered_units or received_units values using zero, mean, or median imputation across up to 200 supplier fill rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-retail-06-037?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-26
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/supplier-fill-string-normalisation-explicit-missing-value-fill-54939055
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_MSFPTcjynuoRUfGuup0QP

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-explicit-missing-value-fill-54939055 -d '<json body>'
```

Example prompt: I have a supplier fill dataset with up to 50 rows including store_group, date, ordered_units, and received_units — some received_units are null. Can you normalize the string fields and fill the missing received_units using the median method?

## When to prefer this

Choose this endpoint when you need lightweight, local (no external lookup) string normalisation and numeric missing-value imputation on supplier fill records (ordered_units, received_units) for up to 200 rows at low cost. Ideal for pre-processing retail supply chain data before aggregation or reporting when all data is already supplied and no prediction or external enrichment is needed.

## Known failure modes

- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, date, ordered_units, received_units) on any row — validation error
- Invalid date format not matching YYYY-MM-DD pattern — schema rejection
- Numeric values outside allowed range (-1e12 to 1e12) — validation error
- Invalid enum value for field or method — schema rejection
- Empty rows array — minimum items violation

## How this service works

Supplier fill — String normalisation + Explicit missing-value fill: String normalisation + Explicit missing-value fill 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

Returns up to 2 analytical reports per call covering: (1) string normalisation results for string fields such as store_group, and (2) explicit missing-value fill results for the specified numeric field (ordered_units or received_units), using the chosen imputation method (zero, mean, or median). Processed rows reflect corrected/filled values for up to 200 input rows.

## 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"
  },
  "method": {
   "enum": [
    "zero",
    "mean",
    "median"
   ],
   "type": "string",
   "default": "median"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/supplier-fill-string-normalisation-explicit-missing-value-fill-54939055/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)