# Asset Revisions — Secondary-Measure Weighted Mean + Explicit Missing-Value Fill

> Asset Revisions — Secondary-Measure Weighted Mean + 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 2026-10-23).

Computes a secondary-measure weighted mean and fills missing values for asset revision records (revision_count, rework_hours) across up to 200 rows, returning two analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-14-187?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/asset-revisions-secondary-measure-weighted-mean-explicit-missing-d5d1db57
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_mEtdWmmPFedn2H6uuSPue

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-secondary-measure-weighted-mean-explicit-missing-d5d1db57 -d '<json body>'
```

Example prompt: Can you compute the secondary-measure weighted mean for our asset revision data and fill any missing revision_count values using median — I have 4 rows covering asset groups A and B from October 2026, and I need both analytical reports?

## When to prefer this

Choose this endpoint when you need offline, deterministic weighted-mean aggregation and missing-value imputation on asset revision records (revision_count, rework_hours) with up to 200 rows and require two reports in a single low-cost call ($0.01 USDC). Prefer it over general-purpose analytics tools when you want local computation with no external data lookups and a fixed, auditable cost.

## Known failure modes

- Exceeds 200-row limit — request rejected
- Missing required fields (row_id, date, asset_group) — validation error
- Invalid date format not matching YYYY-MM-DD pattern — schema error
- Unsupported fill method or field enum value — validation error
- All values null in target field — weighted mean may be undefined
- Numeric values outside allowed range — schema error

## How this service works

Asset revisions — Secondary-measure weighted mean + Explicit missing-value fill: Secondary-measure weighted mean + 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 two independent analytical reports computed from the supplied asset revision rows: (1) a secondary-measure weighted mean for the specified field (revision_count or rework_hours), and (2) an explicit missing-value fill result using the chosen method (zero, mean, or median), all derived locally without any external lookups or predictions.

## 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-secondary-measure-weighted-mean-explicit-missing-d5d1db57/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)