# Replenishment Timing Data Auditor — Record Quality, String Normalisation & Base-100 Series

> Replenishment Timing Data Auditor — Record Quality, String Normalisation & 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 2026-10-24).

Runs three local analytical reports on replenishment timing rows (lead_days, received_units): a record quality audit, string normalisation, and a base-100 indexed series.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-retail-12-201?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-24
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/replenishment-timing-data-auditor-record-quality-string-normalisation-532847f3
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_KBmBsGncGBEOtl-9E0ATD

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 replenishment-timing-data-auditor-record-quality-string-normalisation-532847f3 -d '<json body>'
```

Example prompt: Can you run a record quality audit, string normalisation, and base-100 series on my replenishment timing data? Here are up to 200 rows with row_id, store_group, date, lead_days, and received_units — use lead_days as the field and row 0 as the base index.

## When to prefer this

Use this endpoint when you have up to 200 replenishment timing records and need all three of a quality audit, string normalisation, and base-100 series in a single low-cost call. Ideal for retail or supply chain pipelines needing lightweight, local, offline data validation and indexing without any external data lookups or predictions.

## Known failure modes

- Exceeding 200 rows returns a validation error
- Invalid date format (not YYYY-MM-DD) causes row rejection
- Missing required fields (row_id, store_group, date, lead_days, received_units) cause schema validation failure
- base_index out of range (>= number of rows) returns an error
- Null numeric values in the base_index row may cause base-100 calculation failure

## How this service works

Replenishment timing — Record quality audit + String normalisation + Base-100 series: Record quality audit + String normalisation + Base-100 series for supplied replenishment timing records (lead_days, received_units). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.

## Output

Three independent analytical reports returned together: (1) a record quality audit flagging missing, null, or out-of-range values in the supplied rows; (2) a string normalisation report on text fields like store_group; (3) a base-100 indexed series for the selected numeric field (lead_days or received_units) anchored to the specified base_index row. All computed locally with no external lookups.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "store_group",
     "date",
     "lead_days",
     "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
     },
     "lead_days": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "store_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "received_units": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "lead_days": 10,
     "store_group": "group-a",
     "received_units": 1
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "lead_days": 20,
     "store_group": "group-b",
     "received_units": 2
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "lead_days": 15,
     "store_group": "group-a",
     "received_units": 3
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "lead_days": 30,
     "store_group": "group-b",
     "received_units": 4
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "lead_days",
    "received_units"
   ],
   "type": "string",
   "default": "lead_days"
  },
  "base_index": {
   "type": "integer",
   "default": 0,
   "maximum": 199,
   "minimum": 0
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/replenishment-timing-data-auditor-record-quality-string-normalisation-532847f3/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)