# Asset Revisions — String Normalisation + Secondary-Measure Weighted Mean

> Asset Revisions — String Normalisation + Secondary-Measure Weighted Mean is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-30).

Runs string normalisation and secondary-measure weighted mean analytics on up to 200 rows of asset revision records (revision_count, rework_hours), returning two local reports per call.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-14-034?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-30
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/asset-revisions-string-normalisation-secondary-measure-weighted-mean-86c857b6
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap__6hM3FLxzVFeYAipZqdti

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-secondary-measure-weighted-mean-86c857b6 -d '<json body>'
```

Example prompt: Analyse these asset revision records — normalise the asset_group strings and compute the secondary-measure weighted mean for rework_hours across up to 200 rows, then give me both reports: [{'row_id':'r1','asset_group':'Group A','date':'2025-01-15','revision_count':12,'rework_hours':4.5}, ...]

## When to prefer this

Choose this endpoint when you need both string normalisation of categorical group labels and a secondary-measure weighted mean on asset revision data (revision_count, rework_hours) in a single low-cost call. It is purpose-built for asset revision datasets up to 200 rows and delivers two distinct local reports without any external lookup or live data dependency, making it suitable for batch analytics pipelines, data quality workflows, and offline reporting on revision tracking exports.

## Known failure modes

- More than 200 rows submitted — request rejected with validation error
- Missing required fields (row_id, asset_group, date, revision_count, rework_hours) — row-level validation failure
- Invalid date format (must match YYYY-MM-DD) — schema validation error
- Numeric values outside allowed range (±1,000,000,000,000) — schema rejection
- Empty rows array — minimum items constraint violation
- Invalid field enum value (must be 'revision_count' or 'rework_hours') — enum validation error

## How this service works

Asset revisions — String normalisation + Secondary-measure weighted mean: String normalisation + Secondary-measure weighted mean 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

Two analytical reports per call: (1) string-normalised asset_group label output for each row, and (2) a secondary-measure weighted mean computed for the chosen field (revision_count or rework_hours) weighted by the other measure, covering up to 200 input rows. No external data is fetched; all computation is local.

## 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"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/asset-revisions-string-normalisation-secondary-measure-weighted-mean-86c857b6/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)