# Asset Revisions String Normalisation and Missing-Value Fill

> Asset Revisions String Normalisation and 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 2026-10-22).

Normalises strings and fills missing values for asset revision records (revision_count, rework_hours) across up to 200 rows, producing 2 analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-14-037?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-22
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/asset-revisions-string-normalisation-and-missing-value-fill-cc88a3e7
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_5m3oEXy5H1wZwqgIL9ONN

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 asset-revisions-string-normalisation-and-missing-value-fill-cc88a3e7 -d '<json body>'
```

Example prompt: Can you clean up this asset revision dataset — normalise the strings and fill any missing revision_count values using median imputation? I have 4 rows covering asset groups A and B from October 2026.

## When to prefer this

Choose this endpoint when you need a low-cost ($0.01 USDC for 2 reports), offline, deterministic data-cleaning step specifically for asset revision records with revision_count and rework_hours fields. It is ideal when you want both string normalisation and missing-value imputation in a single call, without any live data lookup, ML prediction, or external side effects. Best suited for batch sizes up to 200 rows.

## Known failure modes

- Rows array empty or exceeds 200-item limit — validation error returned
- Invalid date format (not YYYY-MM-DD) causes row rejection
- Unknown fill method enum value causes request failure
- Numeric values outside allowed range rejected
- Missing required fields (row_id, asset_group, date) cause per-row errors

## How this service works

Asset revisions — String normalisation + Explicit missing-value fill: String normalisation + Explicit missing-value fill for supplied asset revisions records (revision_count, rework_hours). 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 2 reports covering the submitted asset revision rows: one covering string normalisation (standardised text fields) and one covering explicit missing-value fill for the chosen field (revision_count or rework_hours) using the selected method (zero, mean, or median). No external data is fetched; all processing is performed locally on the supplied rows.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/asset-revisions-string-normalisation-and-missing-value-fill-cc88a3e7/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)